{"id":2741,"date":"2026-08-11T11:05:31","date_gmt":"2026-08-11T11:05:31","guid":{"rendered":"https:\/\/blog.passtestking.com\/?p=2741"},"modified":"2026-08-11T11:05:31","modified_gmt":"2026-08-11T11:05:31","slug":"try-free-and-start-using-realistic-verified-saa-c03-dumps-instantly-q159-q178","status":"publish","type":"post","link":"https:\/\/blog.passtestking.com\/zh\/2026\/08\/11\/try-free-and-start-using-realistic-verified-saa-c03-dumps-instantly-q159-q178\/","title":{"rendered":"Try Free and Start Using Realistic Verified SAA-C03 Dumps Instantly [Q159-Q178]"},"content":{"rendered":"\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-left kksr-valign-top\"\n    data-payload='{&quot;align&quot;:&quot;left&quot;,&quot;id&quot;:&quot;2741&quot;,&quot;slug&quot;:&quot;default&quot;,&quot;valign&quot;:&quot;top&quot;,&quot;ignore&quot;:&quot;&quot;,&quot;reference&quot;:&quot;auto&quot;,&quot;class&quot;:&quot;&quot;,&quot;count&quot;:&quot;0&quot;,&quot;legendonly&quot;:&quot;&quot;,&quot;readonly&quot;:&quot;&quot;,&quot;score&quot;:&quot;0&quot;,&quot;starsonly&quot;:&quot;&quot;,&quot;best&quot;:&quot;5&quot;,&quot;gap&quot;:&quot;5&quot;,&quot;greet&quot;:&quot;Rate this post&quot;,&quot;legend&quot;:&quot;0\\\/5 - (0 votes)&quot;,&quot;size&quot;:&quot;24&quot;,&quot;title&quot;:&quot;Try Free and Start Using Realistic Verified SAA-C03 Dumps Instantly [Q159-Q178]&quot;,&quot;width&quot;:&quot;0&quot;,&quot;_legend&quot;:&quot;{score}\\\/{best} - ({count} {votes})&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n    <\/div>\n    \n<div class=\"kksr-stars-active\" style=\"width: 0px;\">\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" style=\"padding-right: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 24px; height: 24px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 19.2px;\">\n            <span class=\"kksr-muted\">Rate this post<\/span>\n    <\/div>\n    <\/div>\n<p><span style=\"color: red;font-size: 18px\"><strong>Try Free and Start Using Realistic Verified SAA-C03 Dumps Instantly<\/strong><\/span><\/p>\n<p><span style=\"color: red\"><strong>SAA-C03 Actual Questions &#8211; Instant Download 954 Questions<\/strong><\/span><\/p>\n<div id=\"watu_quiz\" class=\"quiz-area single-page-quiz\">\n<form action=\"\" method=\"post\" class=\"quiz-form \" id=\"quiz-1083\" >\n<div class='watu-question' id='question-1'><div class='question-content'><p><strong>Q159.<\/strong> A mining company is using Amazon S3 as its data lake. The company wants to analyze the data collected by the sensors in its mines. A data pipeline is being built to capture data from the sensors, ingest the data into an S3 bucket, and convert the data to Apache Parquet format. The data pipeline must be processed in near-real time. The data will be used for on-demand queries with Amazon Athena. Which solution will meet these requirements?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21417' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82922' \/><div class='watu-question-choice'><input type='radio' name='answer-21417[]' id='answer-id-82922' class='answer answer-1 php-answer-label answerof-21417' value='82922' \/>&nbsp;<label for='answer-id-82922' id='answer-label-82922' class='php-answer-label answer label-1'><span class='answer'>Use Amazon Data Firehose to invoke an AWS Lambda function that converts the data to Parquet format and stores the data in Amazon S3.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82923' \/><div class='watu-question-choice'><input type='radio' name='answer-21417[]' id='answer-id-82923' class='answer answer-1 js-answer-label answerof-21417' value='82923' \/>&nbsp;<label for='answer-id-82923' id='answer-label-82923' class='js-answer-label answer label-1'><span class='answer'>Use Amazon Kinesis Data Streams to invoke an AWS Lambda function that converts the data to Parquet format and stores the data in Amazon S3.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82924' \/><div class='watu-question-choice'><input type='radio' name='answer-21417[]' id='answer-id-82924' class='answer answer-1 js-answer-label answerof-21417' value='82924' \/>&nbsp;<label for='answer-id-82924' id='answer-label-82924' class='js-answer-label answer label-1'><span class='answer'>Use AWS DataSync to invoke an AWS Lambda function that converts the data to Parquet format and stores the data in Amazon S3.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82925' \/><div class='watu-question-choice'><input type='radio' name='answer-21417[]' id='answer-id-82925' class='answer answer-1 js-answer-label answerof-21417' value='82925' \/>&nbsp;<label for='answer-id-82925' id='answer-label-82925' class='js-answer-label answer label-1'><span class='answer'>Use Amazon Simple Queue Service (Amazon SQS) to stream data directly to an AWS Glue job that converts the data to Parquet format and stores the data in Amazon S3.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>Amazon Kinesis Data Firehose (now known as Amazon Data Firehose) supports near-real-time streaming, with built-in support to:<br\/>Invoke AWS Lambda functions for transformation.<br\/>Store data directly into Amazon S3 in desired formats like Apache Parquet.<br\/>&#8220;You can use Data Firehose to transform the data before delivering it, by invoking a Lambda function. You can convert to formats such as JSON or Apache Parquet before storing it into S3.&#8221; Why not the others?<br\/>B: Kinesis Data Streams requires more operational overhead than Firehose.<br\/>C: DataSync is for file movement&#8211;not stream processing.<br\/>D: SQS isn&#8217;t designed for streaming and transformation pipelines.<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(1,this)' id='btn-1' value='See Answer'  \/><input type='hidden' id='questionType1' value='radio' class=''><\/div><div class='watu-question' id='question-2'><div class='question-content'><p><strong>Q160.<\/strong> [Design Secure Architectures]<br \/>How can a law firm make files publicly readable while preventing modifications or deletions until a specific future date?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21418' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82926' \/><div class='watu-question-choice'><input type='radio' name='answer-21418[]' id='answer-id-82926' class='answer answer-2 js-answer-label answerof-21418' value='82926' \/>&nbsp;<label for='answer-id-82926' id='answer-label-82926' class='js-answer-label answer label-2'><span class='answer'>Upload files to an Amazon S3 bucket configured for static website hosting. Grant read-only IAM permissions to any AWS principals.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82927' \/><div class='watu-question-choice'><input type='radio' name='answer-21418[]' id='answer-id-82927' class='answer answer-2 php-answer-label answerof-21418' value='82927' \/>&nbsp;<label for='answer-id-82927' id='answer-label-82927' class='php-answer-label answer label-2'><span class='answer'>Create an S3 bucket. Enable S3 Versioning. Use S3 Object Lock with a retention period. Create a CloudFront distribution. Use a bucket policy to restrict access.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82928' \/><div class='watu-question-choice'><input type='radio' name='answer-21418[]' id='answer-id-82928' class='answer answer-2 js-answer-label answerof-21418' value='82928' \/>&nbsp;<label for='answer-id-82928' id='answer-label-82928' class='js-answer-label answer label-2'><span class='answer'>Create an S3 bucket. Enable S3 Versioning. Configure an event trigger with AWS Lambda to restore modified objects from a private S3 bucket.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82929' \/><div class='watu-question-choice'><input type='radio' name='answer-21418[]' id='answer-id-82929' class='answer answer-2 js-answer-label answerof-21418' value='82929' \/>&nbsp;<label for='answer-id-82929' id='answer-label-82929' class='js-answer-label answer label-2'><span class='answer'>Upload files to an S3 bucket for static website hosting. Use S3 Object Lock with a retention period. Grant read-only IAM permissions.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>Option Bensures the use of S3 Object Lock and Versioning to meet compliance for immutability. CloudFront enhances performance while a bucket policy ensures secure access.<br\/>Option Alacks immutability safeguards.<br\/>Option Cintroduces unnecessary complexity.<br\/>Option Dmisses out on additional security benefits offered by CloudFront.<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(2,this)' id='btn-2' value='See Answer'  \/><input type='hidden' id='questionType2' value='radio' class=''><\/div><div class='watu-question' id='question-3'><div class='question-content'><p><strong>Q161.<\/strong> A company sells ringtones created from clips of popular songs. The files containing the ringtones are stored in Amazon S3 Standard and are at least 128 KB in size. The company has millions of files, but downloads are infrequent for ringtones older than 90 days. The company needs to save money on storage while keeping the most accessed files readily available for its users.<br \/>Which action should the company take to meet these requirements MOST cost-effectively?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21419' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82930' \/><div class='watu-question-choice'><input type='radio' name='answer-21419[]' id='answer-id-82930' class='answer answer-3 js-answer-label answerof-21419' value='82930' \/>&nbsp;<label for='answer-id-82930' id='answer-label-82930' class='js-answer-label answer label-3'><span class='answer'>Configure S3 Standard-Infrequent Access (S3 Standard-IA) storage for the initial storage tier of the objects.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82931' \/><div class='watu-question-choice'><input type='radio' name='answer-21419[]' id='answer-id-82931' class='answer answer-3 js-answer-label answerof-21419' value='82931' \/>&nbsp;<label for='answer-id-82931' id='answer-label-82931' class='js-answer-label answer label-3'><span class='answer'>Move the files to S3 Intelligent-Tiering and configure it to move objects to a less expensive storage tier after 90 days.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82932' \/><div class='watu-question-choice'><input type='radio' name='answer-21419[]' id='answer-id-82932' class='answer answer-3 js-answer-label answerof-21419' value='82932' \/>&nbsp;<label for='answer-id-82932' id='answer-label-82932' class='js-answer-label answer label-3'><span class='answer'>Configure S3 inventory to manage objects and move them to S3 Standard-Infrequent Access (S3 Standard-1A) after 90 days.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82933' \/><div class='watu-question-choice'><input type='radio' name='answer-21419[]' id='answer-id-82933' class='answer answer-3 php-answer-label answerof-21419' value='82933' \/>&nbsp;<label for='answer-id-82933' id='answer-label-82933' class='php-answer-label answer label-3'><span class='answer'>Implement an S3 Lifecycle policy that moves the objects from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-1A) after 90 days.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>This solution meets the requirements of saving money on storage while keeping the most accessed files readily available for the users. S3 Lifecycle policy can automatically move objects from one storage class to another based on predefined rules. S3 Standard-IA is a lower-cost storage class for data that is accessed less frequently, but requires rapid access when needed. It is suitable for ringtones older than 90 days that are downloaded infrequently.<br\/>Option A is incorrect because configuring S3 Standard-IA for the initial storage tier of the objects can incur higher costs for frequent access and retrieval fees. Option B is incorrect because moving the files to S3 Intelligent-Tiering can incur additional monitoring and automation fees that may not be necessary for ringtones older than 90 days. Option C is incorrect because using S3 inventory to manage objects and move them to S3 Standard-IA can be complex and time-consuming, and it does not provide automatic cost savings.<br\/>Reference:<br\/>https:\/\/aws.amazon.com\/s3\/storage-classes\/<br\/>https:\/\/aws.amazon.com\/s3\/cloud-storage-cost-optimization-ebook\/<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(3,this)' id='btn-3' value='See Answer'  \/><input type='hidden' id='questionType3' value='radio' class=''><\/div><div class='watu-question' id='question-4'><div class='question-content'><p><strong>Q162.<\/strong> A company has an internal application that runs on Amazon EC2 instances in an Auto Scaling group. The EC2 instances are compute optimized and use Amazon Elastic Block Store (Amazon EBS) volumes.<br \/>The company wants to identify cost optimizations across the EC2 instances, the Auto Scaling group, and the EBS volumes.<br \/>Which solution will meet these requirements with the MOST operational efficiency?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21420' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82934' \/><div class='watu-question-choice'><input type='radio' name='answer-21420[]' id='answer-id-82934' class='answer answer-4 js-answer-label answerof-21420' value='82934' \/>&nbsp;<label for='answer-id-82934' id='answer-label-82934' class='js-answer-label answer label-4'><span class='answer'>Create a new AWS Cost and Usage Report. Search the report for cost recommendations for the EC2 instances, the Auto Scaling group, and the EBS volumes.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82935' \/><div class='watu-question-choice'><input type='radio' name='answer-21420[]' id='answer-id-82935' class='answer answer-4 js-answer-label answerof-21420' value='82935' \/>&nbsp;<label for='answer-id-82935' id='answer-label-82935' class='js-answer-label answer label-4'><span class='answer'>Create new Amazon CloudWatch billing alerts. Check the alert statuses for cost recommendations for the EC2 instances, the Auto Scaling group, and the EBS volumes.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82936' \/><div class='watu-question-choice'><input type='radio' name='answer-21420[]' id='answer-id-82936' class='answer answer-4 php-answer-label answerof-21420' value='82936' \/>&nbsp;<label for='answer-id-82936' id='answer-label-82936' class='php-answer-label answer label-4'><span class='answer'>Configure AWS Compute Optimizer for cost recommendations for the EC2 instances, the Auto Scaling group, and the EBS volumes.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82937' \/><div class='watu-question-choice'><input type='radio' name='answer-21420[]' id='answer-id-82937' class='answer answer-4 js-answer-label answerof-21420' value='82937' \/>&nbsp;<label for='answer-id-82937' id='answer-label-82937' class='js-answer-label answer label-4'><span class='answer'>Configure AWS Compute Optimizer for cost recommendations for the EC2 instances. Create a new AWS Cost and Usage Report. Search the report for cost recommendations for the Auto Scaling group and the EBS volumes.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>Requirement Analysis: The company wants to identify cost optimizations for EC2 instances, the Auto Scaling group, and EBS volumes with high operational efficiency.<br\/>AWS Compute Optimizer: This service provides actionable recommendations to help optimize your AWS resources, including EC2 instances, Auto Scaling groups, and EBS volumes.<br\/>Cost Recommendations: Compute Optimizer analyzes the utilization of resources and provides specific recommendations for rightsizing or optimizing the configurations.<br\/>Operational Efficiency: Using Compute Optimizer automates the process of identifying cost-saving opportunities, reducing the need for manual analysis.<br\/>Implementation:<br\/>Enable AWS Compute Optimizer for your AWS account.<br\/>Review the recommendations provided for EC2 instances, Auto Scaling groups, and EBS volumes.<br\/>Conclusion: This solution provides a comprehensive, automated approach to identifying cost optimizations with minimal operational effort.<br\/>Reference<br\/>AWS Compute Optimizer: AWS Compute Optimizer Documentation<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(4,this)' id='btn-4' value='See Answer'  \/><input type='hidden' id='questionType4' value='radio' class=''><\/div><div class='watu-question' id='question-5'><div class='question-content'><p><strong>Q163.<\/strong> A company wants to create an Amazon EMR cluster that multiple teams will use. The company wants to ensure that each team&#8217;s big data workloads can access only the AWS services that each team needs to interact with. The company does not want the workloads to have access to Instance Metadata Service Version 2 (IMDSv2) on the cluster&#8217;s underlying EC2 instances. Which solution will meet these requirements?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21421' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82938' \/><div class='watu-question-choice'><input type='radio' name='answer-21421[]' id='answer-id-82938' class='answer answer-5 js-answer-label answerof-21421' value='82938' \/>&nbsp;<label for='answer-id-82938' id='answer-label-82938' class='js-answer-label answer label-5'><span class='answer'>Configure interface VPC endpoints for each AWS service that the teams need. Use the required interface VPC endpoints to submit the big data workloads.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82939' \/><div class='watu-question-choice'><input type='radio' name='answer-21421[]' id='answer-id-82939' class='answer answer-5 php-answer-label answerof-21421' value='82939' \/>&nbsp;<label for='answer-id-82939' id='answer-label-82939' class='php-answer-label answer label-5'><span class='answer'>Create EMR runtime roles. Configure the cluster to use the runtime roles. Use the runtime roles to submit the big data workloads.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82940' \/><div class='watu-question-choice'><input type='radio' name='answer-21421[]' id='answer-id-82940' class='answer answer-5 js-answer-label answerof-21421' value='82940' \/>&nbsp;<label for='answer-id-82940' id='answer-label-82940' class='js-answer-label answer label-5'><span class='answer'>Create an EC2 IAM instance profile that has the required permissions for each team. Use the instance profile to submit the big data workloads.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82941' \/><div class='watu-question-choice'><input type='radio' name='answer-21421[]' id='answer-id-82941' class='answer answer-5 js-answer-label answerof-21421' value='82941' \/>&nbsp;<label for='answer-id-82941' id='answer-label-82941' class='js-answer-label answer label-5'><span class='answer'>Create an EMR security configuration that has the EnableApplicationScoped IAM Role option set to false. Use the security configuration to submit the big data workloads.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>EMR runtime roles allow fine-grained permissions per job, letting each team access only the services they are authorized to use. This isolates IAM permissions per workload and avoids exposing instance-level credentials through IMDSv2. Runtime roles improve security posture in multi-tenant EMR environments.<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(5,this)' id='btn-5' value='See Answer'  \/><input type='hidden' id='questionType5' value='radio' class=''><\/div><div class='watu-question' id='question-6'><div class='question-content'><p><strong>Q164.<\/strong> An e-commerce company has an application that uses Amazon DynamoDB tables configured with provisioned capacity. Order data is stored in a table named Orders. The Orders table has a primary key of order-ID and a sort key of product-ID. The company configured an AWS Lambda function to receive DynamoDB streams from the Orders table and update a table named Inventory. The company has noticed that during peak sales periods, updates to the Inventory table take longer than the company can tolerate. Which solutions will resolve the slow table updates? (Select TWO.)<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21422' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82942' \/><div class='watu-question-choice'><input type='checkbox' name='answer-21422[]' id='answer-id-82942' class='answer answer-6 js-answer-label answerof-21422' value='82942' \/>&nbsp;<label for='answer-id-82942' id='answer-label-82942' class='js-answer-label answer label-6'><span class='answer'>Add a global secondary index to the Orders table. Include the product-ID attribute.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82943' \/><div class='watu-question-choice'><input type='checkbox' name='answer-21422[]' id='answer-id-82943' class='answer answer-6 php-answer-label answerof-21422' value='82943' \/>&nbsp;<label for='answer-id-82943' id='answer-label-82943' class='php-answer-label answer label-6'><span class='answer'>Set the batch size attribute of the DynamoDB streams to be based on the size of items in the Orders table.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82944' \/><div class='watu-question-choice'><input type='checkbox' name='answer-21422[]' id='answer-id-82944' class='answer answer-6 php-answer-label answerof-21422' value='82944' \/>&nbsp;<label for='answer-id-82944' id='answer-label-82944' class='php-answer-label answer label-6'><span class='answer'>Increase the DynamoDB table provisioned capacity by 1,000 write capacity units (WCUs).<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82945' \/><div class='watu-question-choice'><input type='checkbox' name='answer-21422[]' id='answer-id-82945' class='answer answer-6 js-answer-label answerof-21422' value='82945' \/>&nbsp;<label for='answer-id-82945' id='answer-label-82945' class='js-answer-label answer label-6'><span class='answer'>Increase the DynamoDB table provisioned capacity by 1,000 read capacity units (RCUs).<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82946' \/><div class='watu-question-choice'><input type='checkbox' name='answer-21422[]' id='answer-id-82946' class='answer answer-6 js-answer-label answerof-21422' value='82946' \/>&nbsp;<label for='answer-id-82946' id='answer-label-82946' class='js-answer-label answer label-6'><span class='answer'>Increase the timeout of the Lambda function to 15 minutes.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>* Key Problem:<br\/>* Delayed Inventory table updates during peak sales.<br\/>* DynamoDB Streams and Lambda processing require optimization.<br\/>* Analysis of Options:<br\/>* Option A: Adding a GSI is unrelated to the issue. It does not address stream processing delays or capacity issues.<br\/>* Option B: Optimizing batch size reduces latency and allows the Lambda function to process larger chunks of data at once, improving performance during peak load.<br\/>* Option C: Increasing write capacity for the Inventory table ensures that it can handle the increased volume of updates during peak times.<br\/>* Option D: Increasing read capacity for the Orders table does not directly resolve the issue since the problem is with updates to the Inventory table.<br\/>* Option E: Increasing Lambda timeout only addresses longer processing times but does not solve the underlying throughput problem.<br\/>* AWS References:<br\/>* DynamoDB Streams Best Practices<br\/>* Provisioned Throughput in DynamoDB<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(6,this)' id='btn-6' value='See Answer'  \/><input type='hidden' id='questionType6' value='checkbox' class=''><\/div><div class='watu-question' id='question-7'><div class='question-content'><p><strong>Q165.<\/strong> A company is using an Amazon RDS for MySQL 5.6 with Multi-AZ deployment enabled and several web servers across two AWS Regions. The database is currently experiencing highly dynamic reads due to the growth of the company&#8217;s website. The Solutions Architect tried to test the read performance from the secondary AWS Region and noticed a notable slowdown on the SQL queries.<br \/>Which of the following options would provide a read replication latency of less than 1 second?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21423' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82947' \/><div class='watu-question-choice'><input type='radio' name='answer-21423[]' id='answer-id-82947' class='answer answer-7 php-answer-label answerof-21423' value='82947' \/>&nbsp;<label for='answer-id-82947' id='answer-label-82947' class='php-answer-label answer label-7'><span class='answer'>Migrate the existing database to Amazon Aurora and create a cross-region read replica.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82948' \/><div class='watu-question-choice'><input type='radio' name='answer-21423[]' id='answer-id-82948' class='answer answer-7 js-answer-label answerof-21423' value='82948' \/>&nbsp;<label for='answer-id-82948' id='answer-label-82948' class='js-answer-label answer label-7'><span class='answer'>Use Amazon ElastiCache to improve database performance.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82949' \/><div class='watu-question-choice'><input type='radio' name='answer-21423[]' id='answer-id-82949' class='answer answer-7 js-answer-label answerof-21423' value='82949' \/>&nbsp;<label for='answer-id-82949' id='answer-label-82949' class='js-answer-label answer label-7'><span class='answer'>Upgrade the MySQL database engine.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82950' \/><div class='watu-question-choice'><input type='radio' name='answer-21423[]' id='answer-id-82950' class='answer answer-7 js-answer-label answerof-21423' value='82950' \/>&nbsp;<label for='answer-id-82950' id='answer-label-82950' class='js-answer-label answer label-7'><span class='answer'>Create an Amazon RDS for MySQL read replica in the secondary AWS Region.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud, that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is up to five times faster than standard MySQL databases and three times faster than standard PostgreSQL databases.<br\/><img decoding=\"async\" src=\"https:\/\/blog.passtestking.com\/wp-content\/uploads\/2026\/08\/SAA-C03-873cc77144c642ab1b80ac5eeff313f4.jpg\"\/><br\/>It provides the security, availability, and reliability of commercial databases at 1\/10th the cost. Amazon Aurora is fully managed by Amazon RDS, which automates time-consuming administration tasks like hardware provisioning, database setup, patching, and backups.<br\/>Based on the given scenario, there is a significant slowdown after testing the read performance from the secondary AWS Region. Since the existing setup is an Amazon RDS for MySQL, you should migrate the database to Amazon Aurora and create a cross-region read replica.<br\/><img decoding=\"async\" src=\"https:\/\/blog.passtestking.com\/wp-content\/uploads\/2026\/08\/SAA-C03-41dc818855077b8607a1106703e1a6d1.jpg\"\/><br\/><img decoding=\"async\" src=\"https:\/\/blog.passtestking.com\/wp-content\/uploads\/2026\/08\/SAA-C03-66c37920aaf3946e59d37cbdff882493.jpg\"\/><br\/>The read replication latency of less than 1 second is only possible if you would use Amazon Aurora replicas. Aurora replicas are independent endpoints in an Aurora DB cluster, best used for scaling read operations and increasing availability. You can create up to 15 replicas within an AWS Region.<br\/>Hence, the correct answer is: Migrate the existing database to Amazon Aurora and create a cross-region read replica.<br\/>The option that says: Upgrade the MySQL database engine is incorrect because upgrading the database engine wouldn&#8217;t improve the read replication latency to milliseconds. To achieve the read replication latency of less than 1-second requirement, you need to use Amazon Aurora replicas.<br\/>The option that says: Use Amazon ElastiCache to improve database performance is incorrect. Amazon ElastiCache won&#8217;t be able to improve the database performance because it is experiencing highly dynamic reads. This option would be helpful if the database frequently receives the same queries.<br\/>The option that says: Create an Amazon RDS for MySQL read replica in the secondary AWS Region is incorrect because MySQL replicas won&#8217;t provide you a read replication latency of less than 1 second.<br\/>RDS Read Replicas can only provide asynchronous replication in seconds and not in milliseconds. You have to use Amazon Aurora replicas in this scenario. References:<br\/>https:\/\/aws.amazon.com\/rds\/aurora\/faqs\/<br\/>https:\/\/docs.aws.amazon.com\/AmazonRDS\/latest\/AuroraUserGuide\/AuroraMySQL.Replication.CrossRe gion.html Amazon Aurora Overview:<br\/>https:\/\/youtu.be\/iwS1h7rLNBQ<br\/>Check out this Amazon Aurora Cheat Sheet:<br\/>https:\/\/tutorialsdojo.com\/amazon-aurora\/<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(7,this)' id='btn-7' value='See Answer'  \/><input type='hidden' id='questionType7' value='radio' class=''><\/div><div class='watu-question' id='question-8'><div class='question-content'><p><strong>Q166.<\/strong> At part of budget planning. management wants a report of AWS billed dams listed by user. The data will be used to create department budgets. A solution architect needs to determine the most efficient way to obtain this report Information Which solution meets these requirement?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21424' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82951' \/><div class='watu-question-choice'><input type='radio' name='answer-21424[]' id='answer-id-82951' class='answer answer-8 js-answer-label answerof-21424' value='82951' \/>&nbsp;<label for='answer-id-82951' id='answer-label-82951' class='js-answer-label answer label-8'><span class='answer'>Run a query with Amazon Athena to generate the report.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82952' \/><div class='watu-question-choice'><input type='radio' name='answer-21424[]' id='answer-id-82952' class='answer answer-8 php-answer-label answerof-21424' value='82952' \/>&nbsp;<label for='answer-id-82952' id='answer-label-82952' class='php-answer-label answer label-8'><span class='answer'>Create a report in Cost Explorer and download the report<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82953' \/><div class='watu-question-choice'><input type='radio' name='answer-21424[]' id='answer-id-82953' class='answer answer-8 js-answer-label answerof-21424' value='82953' \/>&nbsp;<label for='answer-id-82953' id='answer-label-82953' class='js-answer-label answer label-8'><span class='answer'>Access the bill details from the runing dashboard and download Via bill.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82954' \/><div class='watu-question-choice'><input type='radio' name='answer-21424[]' id='answer-id-82954' class='answer answer-8 js-answer-label answerof-21424' value='82954' \/>&nbsp;<label for='answer-id-82954' id='answer-label-82954' class='js-answer-label answer label-8'><span class='answer'>Modify a cost budget in AWS Budgets to alert with Amazon Simple Email Service (Amazon SES).<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'><\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(8,this)' id='btn-8' value='See Answer'  \/><input type='hidden' id='questionType8' value='radio' class=''><\/div><div class='watu-question' id='question-9'><div class='question-content'><p><strong>Q167.<\/strong> [Design High-Performing Architectures]<br \/>A company hosts more than 300 global websites and applications. The company requires a platform to analyze more than 30 TB of clickstream data each day.<br \/>What should a solutions architect do to transmit and process the clickstream data?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21425' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82955' \/><div class='watu-question-choice'><input type='radio' name='answer-21425[]' id='answer-id-82955' class='answer answer-9 js-answer-label answerof-21425' value='82955' \/>&nbsp;<label for='answer-id-82955' id='answer-label-82955' class='js-answer-label answer label-9'><span class='answer'>Design an AWS Data Pipeline to archive the data to an Amazon S3 bucket and run an Amazon EMR duster with the data to generate analytics<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82956' \/><div class='watu-question-choice'><input type='radio' name='answer-21425[]' id='answer-id-82956' class='answer answer-9 js-answer-label answerof-21425' value='82956' \/>&nbsp;<label for='answer-id-82956' id='answer-label-82956' class='js-answer-label answer label-9'><span class='answer'>Create an Auto Scaling group of Amazon EC2 instances to process the data and send it to an Amazon S3 data lake for Amazon Redshift to use tor analysis<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82957' \/><div class='watu-question-choice'><input type='radio' name='answer-21425[]' id='answer-id-82957' class='answer answer-9 js-answer-label answerof-21425' value='82957' \/>&nbsp;<label for='answer-id-82957' id='answer-label-82957' class='js-answer-label answer label-9'><span class='answer'>Cache the data to Amazon CloudFron: Store the data in an Amazon S3 bucket When an object is added to the S3 bucket, run an AWS Lambda function to process the data tor analysis.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82958' \/><div class='watu-question-choice'><input type='radio' name='answer-21425[]' id='answer-id-82958' class='answer answer-9 php-answer-label answerof-21425' value='82958' \/>&nbsp;<label for='answer-id-82958' id='answer-label-82958' class='php-answer-label answer label-9'><span class='answer'>Collect the data from Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to transmit the data to an Amazon S3 data lake Load the data in Amazon Redshift for analysis<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>https:\/\/aws.amazon.com\/es\/blogs\/big-data\/real-time-analytics-with-amazon-redshift-streaming-ingestion\/<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(9,this)' id='btn-9' value='See Answer'  \/><input type='hidden' id='questionType9' value='radio' class=''><\/div><div class='watu-question' id='question-10'><div class='question-content'><p><strong>Q168.<\/strong> A company uses Amazon FSx for NetApp ONTAP in its primary AWS Region for CIFS and NFS file shares.<br \/>Applications that run on Amazon EC2 instances access the file shares The company needs a storage disaster recovery (OR) solution in a secondary Region. The data that is replicated in the secondary Region needs to be accessed by using the same protocols as the primary Region.<br \/>Which solution will meet these requirements with the LEAST operational overhead?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21426' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82959' \/><div class='watu-question-choice'><input type='radio' name='answer-21426[]' id='answer-id-82959' class='answer answer-10 js-answer-label answerof-21426' value='82959' \/>&nbsp;<label for='answer-id-82959' id='answer-label-82959' class='js-answer-label answer label-10'><span class='answer'>Create an AWS Lambda function lo copy the data to an Amazon S3 bucket. Replicate the S3 bucket (o the secondary Region.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82960' \/><div class='watu-question-choice'><input type='radio' name='answer-21426[]' id='answer-id-82960' class='answer answer-10 js-answer-label answerof-21426' value='82960' \/>&nbsp;<label for='answer-id-82960' id='answer-label-82960' class='js-answer-label answer label-10'><span class='answer'>Create a backup of the FSx for ONTAP volumes by using AWS Backup. Copy the volumes to the secondary Region. Create a new FSx for ONTAP instance from the backup.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82961' \/><div class='watu-question-choice'><input type='radio' name='answer-21426[]' id='answer-id-82961' class='answer answer-10 php-answer-label answerof-21426' value='82961' \/>&nbsp;<label for='answer-id-82961' id='answer-label-82961' class='php-answer-label answer label-10'><span class='answer'>Create an FSx for ONTAP instance in the secondary Region. Use NetApp SnapMirror to replicate data from the primary Region to the secondary Region.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82962' \/><div class='watu-question-choice'><input type='radio' name='answer-21426[]' id='answer-id-82962' class='answer answer-10 js-answer-label answerof-21426' value='82962' \/>&nbsp;<label for='answer-id-82962' id='answer-label-82962' class='js-answer-label answer label-10'><span class='answer'>Create an Amazon Elastic File System (Amazon EFS) volume. Migrate the current data to the volume.Replicate the volume to the secondary Region.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>* Understanding the Requirement: The company needs a disaster recovery solution for FSx for NetApp ONTAP in a secondary region, accessible using the same protocols (CIFS and NFS).<br\/>* Analysis of Options:<br\/>* Lambda Function and S3: Involves copying data to S3, which changes the access protocols and increases operational overhead.<br\/>* AWS Backup: Suitable for backup and restore but not for real-time or near-real-time replication for disaster recovery.<br\/>* FSx for ONTAP with SnapMirror: SnapMirror provides efficient replication between ONTAP instances, maintaining access protocols and requiring minimal operational overhead.<br\/>* Amazon EFS: Does not support CIFS and requires migrating data, increasing complexity and changing access protocols.<br\/>* Best Solution:<br\/>* FSx for ONTAP with SnapMirror: This solution ensures seamless disaster recovery with the same access protocols and minimal operational overhead.<br\/>References:<br\/>* Amazon FSx for NetApp ONTAP<br\/>* NetApp SnapMirror<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(10,this)' id='btn-10' value='See Answer'  \/><input type='hidden' id='questionType10' value='radio' class=''><\/div><div class='watu-question' id='question-11'><div class='question-content'><p><strong>Q169.<\/strong> A company must follow strict regulations for the management of data encryption keys. The company manages its own key externally and imports the key into AWS Key Management Service (AWS KMS). The company must control the imported key material and must rotate the key material on a regular schedule.<br \/>A solutions architect needs to import the key material into AWS KMS and rotate the key without interrupting applications that use the key.<br \/>Which solution will meet these requirements?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21427' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82963' \/><div class='watu-question-choice'><input type='radio' name='answer-21427[]' id='answer-id-82963' class='answer answer-11 js-answer-label answerof-21427' value='82963' \/>&nbsp;<label for='answer-id-82963' id='answer-label-82963' class='js-answer-label answer label-11'><span class='answer'>Create a new AWS KMS key that has the same key ID as the existing key. Import new key material into the key.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82964' \/><div class='watu-question-choice'><input type='radio' name='answer-21427[]' id='answer-id-82964' class='answer answer-11 js-answer-label answerof-21427' value='82964' \/>&nbsp;<label for='answer-id-82964' id='answer-label-82964' class='js-answer-label answer label-11'><span class='answer'>Schedule the existing AWS KMS key for deletion. Create a new KMS key that has new key material.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82965' \/><div class='watu-question-choice'><input type='radio' name='answer-21427[]' id='answer-id-82965' class='answer answer-11 php-answer-label answerof-21427' value='82965' \/>&nbsp;<label for='answer-id-82965' id='answer-label-82965' class='php-answer-label answer label-11'><span class='answer'>Import new key material into the existing AWS KMS key. Set an expiration time for the old key material.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82966' \/><div class='watu-question-choice'><input type='radio' name='answer-21427[]' id='answer-id-82966' class='answer answer-11 js-answer-label answerof-21427' value='82966' \/>&nbsp;<label for='answer-id-82966' id='answer-label-82966' class='js-answer-label answer label-11'><span class='answer'>Enable automatic key rotation for the existing AWS KMS key.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>When using imported key material with AWS KMS, you maintain control over the key lifecycle. AWS KMS allows you to import new key material into an existing KMS key (of type &#8220;external&#8221; or &#8220;imported&#8221;), thus rotating the key material without changing the key ID or ARNs. This enables applications to continue using the same key for cryptographic operations without disruption.<br\/>You can also set an expiration time for the old key material, after which AWS KMS deletes the old material and requires new key material to be imported, enforcing regular rotation per your compliance requirements.<br\/>AWS Documentation Extract:<br\/>&#8220;To rotate imported key material, you can re-import new key material into the same KMS key. This retains the same key ID and ARNs so applications are unaffected. You can set an expiration time for imported key material and replace it as needed, ensuring compliance with your rotation policy.&#8221; (Source: AWS Key Management Service Developer Guide, Importing Key Material, Rotating Key Material) Other options:<br\/>A: You cannot create a new KMS key with the same key ID as an existing one.<br\/>B: Deleting and recreating the key disrupts application access because the key ID changes.<br\/>D: Automatic rotation is only available for AWS-managed keys, not for imported key material.<br\/>Reference: AWS Certified Solutions Architect &#8211; Official Study Guide, KMS and Key Rotation Section.<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(11,this)' id='btn-11' value='See Answer'  \/><input type='hidden' id='questionType11' value='radio' class=''><\/div><div class='watu-question' id='question-12'><div class='question-content'><p><strong>Q170.<\/strong> A company is building a containerized application on AWS. The application uses the Linux operating system.<br \/>The company needs to provide a persistent storage solution for the application.<br \/>The company expects the storage solution to have varying data access patterns. The solution must have native storage tiering capabilities and must be scalable. The solution must not require the company to provision storage upfront.<br \/>Which solution will meet these requirements in the MOST cost-effective way?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21428' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82967' \/><div class='watu-question-choice'><input type='radio' name='answer-21428[]' id='answer-id-82967' class='answer answer-12 js-answer-label answerof-21428' value='82967' \/>&nbsp;<label for='answer-id-82967' id='answer-label-82967' class='js-answer-label answer label-12'><span class='answer'>Use Amazon FSx for NetApp ONTAP to set up persistent file storage that uses SSD storage for performance. Use the capacity pool storage tier.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82968' \/><div class='watu-question-choice'><input type='radio' name='answer-21428[]' id='answer-id-82968' class='answer answer-12 php-answer-label answerof-21428' value='82968' \/>&nbsp;<label for='answer-id-82968' id='answer-label-82968' class='php-answer-label answer label-12'><span class='answer'>Use an Amazon EFS file system in Elastic throughput mode. Use the Intelligent Tiering lifecycle management feature.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82969' \/><div class='watu-question-choice'><input type='radio' name='answer-21428[]' id='answer-id-82969' class='answer answer-12 js-answer-label answerof-21428' value='82969' \/>&nbsp;<label for='answer-id-82969' id='answer-label-82969' class='js-answer-label answer label-12'><span class='answer'>Configure two Amazon FSx for Windows File Server file systems. Use an SSD-based file system for performance and an HDD-based file system for low-cost storage.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82970' \/><div class='watu-question-choice'><input type='radio' name='answer-21428[]' id='answer-id-82970' class='answer answer-12 js-answer-label answerof-21428' value='82970' \/>&nbsp;<label for='answer-id-82970' id='answer-label-82970' class='js-answer-label answer label-12'><span class='answer'>Launch an Amazon EC2 instance that is backed by an Amazon EBS volume. Use the EBS volume to create a file share.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>Amazon EFS is the best fit because it is a fully managed, elastic file storage service for Linux workloads, and it scales automatically without pre-provisioning capacity. AWS documentation states thatElastic throughputautomatically scales throughput up or down for spiky or unpredictable workloads, which matches the varying access pattern in the question. AWS also documents thatEFS lifecycle managementandEFS Intelligent-Tieringautomatically transition files between storage classes based on access patterns, which provides the native tiering requirement. FSx for Windows is not the right operating-system fit, and using EC2 plus EBS would require more manual storage management. Therefore,EFS with Elastic throughput and Intelligent-Tieringis the most cost-effective managed design. (AWS Documentation)<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(12,this)' id='btn-12' value='See Answer'  \/><input type='hidden' id='questionType12' value='radio' class=''><\/div><div class='watu-question' id='question-13'><div class='question-content'><p><strong>Q171.<\/strong> A company is developing a latency-sensitive application. Part of the application includes several AWS Lambda functions that need to initialize as quickly as possible. The Lambda functions are written in Java and contain initialization code outside the handlers to load libraries, initialize classes, and generate unique IDs. Which solution will meet the startup performance requirement MOST cost-effectively?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21429' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82971' \/><div class='watu-question-choice'><input type='radio' name='answer-21429[]' id='answer-id-82971' class='answer answer-13 js-answer-label answerof-21429' value='82971' \/>&nbsp;<label for='answer-id-82971' id='answer-label-82971' class='js-answer-label answer label-13'><span class='answer'>Move all the initialization code to the handlers for each Lambda function. Activate Lambda SnapStart for each Lambda function. Configure SnapStart to reference the $LATEST version of each Lambda function.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82972' \/><div class='watu-question-choice'><input type='radio' name='answer-21429[]' id='answer-id-82972' class='answer answer-13 js-answer-label answerof-21429' value='82972' \/>&nbsp;<label for='answer-id-82972' id='answer-label-82972' class='js-answer-label answer label-13'><span class='answer'>Publish a version of each Lambda function. Create an alias for each Lambda function. Configure each alias to point to its corresponding version. Set up provisioned concurrency configuration for each Lambda function to point to the corresponding alias.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82973' \/><div class='watu-question-choice'><input type='radio' name='answer-21429[]' id='answer-id-82973' class='answer answer-13 js-answer-label answerof-21429' value='82973' \/>&nbsp;<label for='answer-id-82973' id='answer-label-82973' class='js-answer-label answer label-13'><span class='answer'>Publish a version of each Lambda function. Set up a provisioned concurrency configuration for each Lambda function to point to the corresponding version. Activate Lambda SnapStart for the published versions of the Lambda functions.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82974' \/><div class='watu-question-choice'><input type='radio' name='answer-21429[]' id='answer-id-82974' class='answer answer-13 php-answer-label answerof-21429' value='82974' \/>&nbsp;<label for='answer-id-82974' id='answer-label-82974' class='php-answer-label answer label-13'><span class='answer'>Update the Lambda functions to add a pre-snapshot hook. Move the code that generates unique IDs into the handlers. Publish a version of each Lambda function. Activate Lambda SnapStart for the published versions of the Lambda functions.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>Same scenario as above-cost-effective cold start reduction for Java Lambdas is best achieved by using Lambda SnapStart with the correct code structure. Unique IDs and similar non-deterministic logic should be in the handler or in a pre-snapshot hook. SnapStart is supported only for published versions. This combination offers cold start performance at a lower cost than provisioned concurrency.<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(13,this)' id='btn-13' value='See Answer'  \/><input type='hidden' id='questionType13' value='radio' class=''><\/div><div class='watu-question' id='question-14'><div class='question-content'><p><strong>Q172.<\/strong> An automobile company collects several terabytes of sensor data from vehicles every day and stores the data in Amazon S3. The company wants to use Amazon SageMaker AI and the sensor data to run an inference model.<br \/>The company needs to pre-process the data to remove noise or bias that interferes with inference. The company wants to run the inference model once each week.<br \/>Which solution will meet these requirements with the LEAST operational overhead?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21430' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82975' \/><div class='watu-question-choice'><input type='radio' name='answer-21430[]' id='answer-id-82975' class='answer answer-14 js-answer-label answerof-21430' value='82975' \/>&nbsp;<label for='answer-id-82975' id='answer-label-82975' class='js-answer-label answer label-14'><span class='answer'>Use AWS Batch to pre-process the data. Use a SageMaker AI processing job to run the inference workloads.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82976' \/><div class='watu-question-choice'><input type='radio' name='answer-21430[]' id='answer-id-82976' class='answer answer-14 js-answer-label answerof-21430' value='82976' \/>&nbsp;<label for='answer-id-82976' id='answer-label-82976' class='js-answer-label answer label-14'><span class='answer'>Use Amazon EMR to pre-process the data. Use a SageMaker AI processing job to run the inference workloads.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82977' \/><div class='watu-question-choice'><input type='radio' name='answer-21430[]' id='answer-id-82977' class='answer answer-14 php-answer-label answerof-21430' value='82977' \/>&nbsp;<label for='answer-id-82977' id='answer-label-82977' class='php-answer-label answer label-14'><span class='answer'>Use a SageMaker AI batch transform job to pre-process the data and to run the inference workloads.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82978' \/><div class='watu-question-choice'><input type='radio' name='answer-21430[]' id='answer-id-82978' class='answer answer-14 js-answer-label answerof-21430' value='82978' \/>&nbsp;<label for='answer-id-82978' id='answer-label-82978' class='js-answer-label answer label-14'><span class='answer'>Use AWS Glue to pre-process the data. Use a SageMaker AI processing job to run the inference workloads.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>SageMaker AI batch transform is the best option because the company runs inference only once each week on large datasets stored in Amazon S3. Batch transform is designed for offline batch inference, so the company does not need to deploy or maintain a persistent real-time endpoint. The same managed SageMaker workflow can process input records, run the model, and write inference results back to S3 with minimal infrastructure management. AWS Batch and Amazon EMR can process large datasets, but they introduce extra services and operational responsibility. AWS Glue is useful for ETL, but the option still incorrectly uses a SageMaker processing job for the inference workload rather than the managed batch inference feature. Therefore, batch transform provides the least operational overhead.<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(14,this)' id='btn-14' value='See Answer'  \/><input type='hidden' id='questionType14' value='radio' class=''><\/div><div class='watu-question' id='question-15'><div class='question-content'><p><strong>Q173.<\/strong> A company is designing a new Amazon Elastic Kubernetes Service (Amazon EKS) deployment to host multi- tenant applications that use a single cluster. The company wants to ensure that each pod has its own hosted environment. The environments must not share CPU, memory, storage, or elastic network interfaces.<br \/>Which solution will meet these requirements?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21431' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82979' \/><div class='watu-question-choice'><input type='radio' name='answer-21431[]' id='answer-id-82979' class='answer answer-15 js-answer-label answerof-21431' value='82979' \/>&nbsp;<label for='answer-id-82979' id='answer-label-82979' class='js-answer-label answer label-15'><span class='answer'>Use Amazon EC2 instances to host self-managed Kubernetes clusters. Use taints and tolerations to enforce isolation boundaries.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82980' \/><div class='watu-question-choice'><input type='radio' name='answer-21431[]' id='answer-id-82980' class='answer answer-15 php-answer-label answerof-21431' value='82980' \/>&nbsp;<label for='answer-id-82980' id='answer-label-82980' class='php-answer-label answer label-15'><span class='answer'>Use Amazon EKS with AWS Fargate. Use Fargate to manage resources and to enforce isolation boundaries.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82981' \/><div class='watu-question-choice'><input type='radio' name='answer-21431[]' id='answer-id-82981' class='answer answer-15 js-answer-label answerof-21431' value='82981' \/>&nbsp;<label for='answer-id-82981' id='answer-label-82981' class='js-answer-label answer label-15'><span class='answer'>Use Amazon EKS and self-managed node groups. Use taints and tolerations to enforce isolation boundaries.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82982' \/><div class='watu-question-choice'><input type='radio' name='answer-21431[]' id='answer-id-82982' class='answer answer-15 js-answer-label answerof-21431' value='82982' \/>&nbsp;<label for='answer-id-82982' id='answer-label-82982' class='js-answer-label answer label-15'><span class='answer'>Use Amazon EKS and managed node groups. Use taints and tolerations to enforce isolation boundaries.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>AWS Fargate provides per-pod isolation for CPU, memory, storage, and networking, making it ideal for multi- tenant use cases.<br\/>AWS Documentation References:<br\/>* EKS with Fargate<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(15,this)' id='btn-15' value='See Answer'  \/><input type='hidden' id='questionType15' value='radio' class=''><\/div><div class='watu-question' id='question-16'><div class='question-content'><p><strong>Q174.<\/strong> An ecommerce company runs applications in AWS accounts that are part of an organization in AWS Organizations. The applications run on Amazon Aurora PostgreSQL databases across all the accounts. The company needs to prevent malicious activity and must identify abnormal failed and incomplete login attempts to the databases.<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21432' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82983' \/><div class='watu-question-choice'><input type='radio' name='answer-21432[]' id='answer-id-82983' class='answer answer-16 js-answer-label answerof-21432' value='82983' \/>&nbsp;<label for='answer-id-82983' id='answer-label-82983' class='js-answer-label answer label-16'><span class='answer'>Attach service control policies (SCPs) to the root of the organization to identify the failed login attempts.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82984' \/><div class='watu-question-choice'><input type='radio' name='answer-21432[]' id='answer-id-82984' class='answer answer-16 php-answer-label answerof-21432' value='82984' \/>&nbsp;<label for='answer-id-82984' id='answer-label-82984' class='php-answer-label answer label-16'><span class='answer'>Enable the Amazon RDS Protection feature in Amazon GuardDuty for the member accounts of the organization.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82985' \/><div class='watu-question-choice'><input type='radio' name='answer-21432[]' id='answer-id-82985' class='answer answer-16 js-answer-label answerof-21432' value='82985' \/>&nbsp;<label for='answer-id-82985' id='answer-label-82985' class='js-answer-label answer label-16'><span class='answer'>Publish the Aurora general logs to a log group in Amazon CloudWatch Logs. Export the log data to a central Amazon S3 bucket.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82986' \/><div class='watu-question-choice'><input type='radio' name='answer-21432[]' id='answer-id-82986' class='answer answer-16 js-answer-label answerof-21432' value='82986' \/>&nbsp;<label for='answer-id-82986' id='answer-label-82986' class='js-answer-label answer label-16'><span class='answer'>Publish all the Aurora PostgreSQL database events in AWS CloudTrail to a central Amazon S3 bucket.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>Amazon GuardDuty includes RDS Protection that &#8220;monitors and profiles access to your Amazon Aurora and Amazon RDS databases&#8221; to detect threats such as suspicious login attempts, brute-force activity, and anomalous authentication patterns. GuardDuty can be enabled organization-wide in AWS Organizations with a delegated administrator to centralize findings for all member accounts, minimizing operational overhead.<br\/>Findings include context like source IP, user, and DB instance, and integrate with Amazon EventBridge for alerting and automated response. SCPs (A) enforce or deny API permissions but do not provide detection<br\/>\/analytics. Exporting general logs (C) requires building and maintaining custom parsing\/analytics pipelines.<br\/>CloudTrail (D) records AWS control-plane API calls and does not log database-level login attempts.<br\/>Therefore, enabling GuardDuty RDS Protection across the org provides the most operationally efficient, managed detection of abnormal failed and incomplete login attempts.<br\/>References: Amazon GuardDuty &#8211; RDS Protection findings; GuardDuty organizational administration; Amazon RDS\/Aurora &#8211; integration with GuardDuty; AWS Security best practices (centralized threat detection).<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(16,this)' id='btn-16' value='See Answer'  \/><input type='hidden' id='questionType16' value='radio' class=''><\/div><div class='watu-question' id='question-17'><div class='question-content'><p><strong>Q175.<\/strong> A company has an Amazon S3 data lake that is governed by AWS Lake Formation The company wants to create a visualization in Amazon QuickSight by joining the data in the data lake with operational data that is stored in an Amazon Aurora MySQL database The company wants to enforce column-level authorization so that the company&#8217;s marketing team can access only a subset of columns in the database Which solution will meet these requirements with the LEAST operational overhead?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21433' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82987' \/><div class='watu-question-choice'><input type='radio' name='answer-21433[]' id='answer-id-82987' class='answer answer-17 js-answer-label answerof-21433' value='82987' \/>&nbsp;<label for='answer-id-82987' id='answer-label-82987' class='js-answer-label answer label-17'><span class='answer'>Use Amazon EMR to ingest the data directly from the database to the QuickSight SPICE engine Include only the required columns<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82988' \/><div class='watu-question-choice'><input type='radio' name='answer-21433[]' id='answer-id-82988' class='answer answer-17 js-answer-label answerof-21433' value='82988' \/>&nbsp;<label for='answer-id-82988' id='answer-label-82988' class='js-answer-label answer label-17'><span class='answer'>Use AWS Glue Studio to ingest the data from the database to the S3 data lake Attach an IAM policy to the QuickSight users to enforce column-level access control. Use Amazon S3 as the data source in QuickSight<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82989' \/><div class='watu-question-choice'><input type='radio' name='answer-21433[]' id='answer-id-82989' class='answer answer-17 js-answer-label answerof-21433' value='82989' \/>&nbsp;<label for='answer-id-82989' id='answer-label-82989' class='js-answer-label answer label-17'><span class='answer'>Use AWS Glue Elastic Views to create a materialized view for the database in Amazon S3 Create an S3 bucket policy to enforce column-level access control for the QuickSight users Use Amazon S3 as the data source in QuickSight.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82990' \/><div class='watu-question-choice'><input type='radio' name='answer-21433[]' id='answer-id-82990' class='answer answer-17 php-answer-label answerof-21433' value='82990' \/>&nbsp;<label for='answer-id-82990' id='answer-label-82990' class='php-answer-label answer label-17'><span class='answer'>Use a Lake Formation blueprint to ingest the data from the database to the S3 data lake Use Lake Formation to enforce column-level access control for the QuickSight users Use Amazon Athena as the data source in QuickSight<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>Enforce column-level authorization with Amazon QuickSight and AWS Lake Formation<br\/>https:\/\/aws.amazon.com\/blogs\/big-data\/enforce-column-level-authorization-with-amazon-quicksight-and-aws-lak<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(17,this)' id='btn-17' value='See Answer'  \/><input type='hidden' id='questionType17' value='radio' class=''><\/div><div class='watu-question' id='question-18'><div class='question-content'><p><strong>Q176.<\/strong> A company is designing an event-driven order processing system Each order requires multiple validation steps after the order is created. An independent AWS Lambda function performs each validation step. Each validation step is independent from the other validation steps Individual validation steps need only a subset of the order event information.<br \/>The company wants to ensure that each validation step Lambda function has access to only the information from the order event that the function requires The components of the order processing system should be loosely coupled to accommodate future business changes.<br \/>Which solution will meet these requirements?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21434' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82991' \/><div class='watu-question-choice'><input type='radio' name='answer-21434[]' id='answer-id-82991' class='answer answer-18 js-answer-label answerof-21434' value='82991' \/>&nbsp;<label for='answer-id-82991' id='answer-label-82991' class='js-answer-label answer label-18'><span class='answer'>Create an Amazon Simple Queue Service (Amazon SQS&gt; queue for each validation step. Create a new Lambda function to transform the order data to the format that each validation step requires and to publish the messages to the appropriate SQS queues Subscribe each validation step Lambda function to its corresponding SQS queue<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82992' \/><div class='watu-question-choice'><input type='radio' name='answer-21434[]' id='answer-id-82992' class='answer answer-18 js-answer-label answerof-21434' value='82992' \/>&nbsp;<label for='answer-id-82992' id='answer-label-82992' class='js-answer-label answer label-18'><span class='answer'>Create an Amazon Simple Notification Service {Amazon SNS) topic. Subscribe the validation step Lambda functions to the SNS topic. Use message body filtering to send only the required data to each subscribed Lambda function.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82993' \/><div class='watu-question-choice'><input type='radio' name='answer-21434[]' id='answer-id-82993' class='answer answer-18 php-answer-label answerof-21434' value='82993' \/>&nbsp;<label for='answer-id-82993' id='answer-label-82993' class='php-answer-label answer label-18'><span class='answer'>Create an Amazon EventBridge event bus. Create an event rule for each validation step Configure the input transformer to send only the required data to each target validation step Lambda function.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82994' \/><div class='watu-question-choice'><input type='radio' name='answer-21434[]' id='answer-id-82994' class='answer answer-18 js-answer-label answerof-21434' value='82994' \/>&nbsp;<label for='answer-id-82994' id='answer-label-82994' class='js-answer-label answer label-18'><span class='answer'>Create an Amazon Simple Queue Service {Amazon SQS) queue Create a new Lambda function to subscribe to the SQS queue and to transform the order data to the format that each validation step requires. Use the new Lambda function to perform synchronous invocations of the validation step Lambda functions in parallel on separate threads.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>* Understanding the Requirement: The order processing system requires multiple independent validation steps, each handled by separate Lambda functions, with each function accessing only the subset of order information it needs. The system should be loosely coupled to accommodate future changes.<br\/>* Analysis of Options:<br\/>* Amazon SQS with a new Lambda function for transformation: This involves additional complexity in creating and managing multiple SQS queues and an extra Lambda function for data transformation.<br\/>* Amazon SNS with message filtering: While SNS supports message filtering, it is more suited for pub\/sub messaging patterns rather than event-driven processing requiring fine-grained control over the data sent to each function.<br\/>* Amazon EventBridge with input transformers: EventBridge is designed for event-driven architectures, allowing for fine-grained control with input transformers that can modify and filter the event data sent to each target Lambda function, ensuring each function receives only the necessary information.<br\/>* SQS with synchronous Lambda invocations: This approach adds unnecessary complexity with synchronous invocations and is not ideal for an event-driven, loosely coupled architecture.<br\/>* Best Solution:<br\/>* Amazon EventBridge with input transformers: This option provides the most flexible, scalable, and loosely coupled architecture, enabling each Lambda function to receive only the required subset of data.<br\/>References:<br\/>* Amazon EventBridge<br\/>* EventBridge Input Transformer<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(18,this)' id='btn-18' value='See Answer'  \/><input type='hidden' id='questionType18' value='radio' class=''><\/div><div class='watu-question' id='question-19'><div class='question-content'><p><strong>Q177.<\/strong> [Design High-Performing Architectures]<br \/>A global company is using Amazon API Gateway to design REST APIs for its loyalty club users in the us-east-1 Region and the ap-southeast-2 Region. A solutions architect must design a solution to protect these API Gateway managed REST APIs across multiple accounts from SQL injection and cross-site scripting attacks.<br \/>Which solution will meet these requirements with the LEAST amount of administrative effort?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21435' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82995' \/><div class='watu-question-choice'><input type='radio' name='answer-21435[]' id='answer-id-82995' class='answer answer-19 php-answer-label answerof-21435' value='82995' \/>&nbsp;<label for='answer-id-82995' id='answer-label-82995' class='php-answer-label answer label-19'><span class='answer'>Set up AWS WAF in both Regions. Associate Regional web ACLs with an API stage.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82996' \/><div class='watu-question-choice'><input type='radio' name='answer-21435[]' id='answer-id-82996' class='answer answer-19 js-answer-label answerof-21435' value='82996' \/>&nbsp;<label for='answer-id-82996' id='answer-label-82996' class='js-answer-label answer label-19'><span class='answer'>Set up AWS Firewall Manager in both Regions. Centrally configure AWS WAF rules.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82997' \/><div class='watu-question-choice'><input type='radio' name='answer-21435[]' id='answer-id-82997' class='answer answer-19 js-answer-label answerof-21435' value='82997' \/>&nbsp;<label for='answer-id-82997' id='answer-label-82997' class='js-answer-label answer label-19'><span class='answer'>Set up AWS Shield in bath Regions. Associate Regional web ACLs with an API stage.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82998' \/><div class='watu-question-choice'><input type='radio' name='answer-21435[]' id='answer-id-82998' class='answer answer-19 js-answer-label answerof-21435' value='82998' \/>&nbsp;<label for='answer-id-82998' id='answer-label-82998' class='js-answer-label answer label-19'><span class='answer'>Set up AWS Shield in one of the Regions. Associate Regional web ACLs with an API stage.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>Using AWS WAF has several benefits. Additional protection against web attacks using criteria that you specify. You can define criteria using characteristics of web requests such as the following: Presence of SQL code that is likely to be malicious (known as SQL injection). Presence of a script that is likely to be malicious (known as cross-site scripting). AWS Firewall Manager simplifies your administration and maintenance tasks across multiple accounts and resources for a variety of protections.https:\/\/docs.aws.amazon.com\/waf\/latest\/developerguide\/what-is-aws-waf.html<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(19,this)' id='btn-19' value='See Answer'  \/><input type='hidden' id='questionType19' value='radio' class=''><\/div><div class='watu-question' id='question-20'><div class='question-content'><p><strong>Q178.<\/strong> A company sends AWS CloudTrail logs from multiple AWS accounts to an Amazon S3 bucket in a centralized account. The company must keep the CloudTrail logs. The company must also be able to query the CloudTrail logs at any time Which solution will meet these requirements?<\/p>\n<\/div><input type='hidden' name='question_id[]' value='21436' \/><div class='watu-questions-wrap '><input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='82999' \/><div class='watu-question-choice'><input type='radio' name='answer-21436[]' id='answer-id-82999' class='answer answer-20 php-answer-label answerof-21436' value='82999' \/>&nbsp;<label for='answer-id-82999' id='answer-label-82999' class='php-answer-label answer label-20'><span class='answer'>Use the CloudTraiI event history in the centralized account to create an Amazon Athena table. Query the CloudTrail logs from Athena.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='83000' \/><div class='watu-question-choice'><input type='radio' name='answer-21436[]' id='answer-id-83000' class='answer answer-20 js-answer-label answerof-21436' value='83000' \/>&nbsp;<label for='answer-id-83000' id='answer-label-83000' class='js-answer-label answer label-20'><span class='answer'>Configure an Amazon Neptune instance to manage the CloudTrail logs. Query the CloudTraiI logs from Neptune.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='83001' \/><div class='watu-question-choice'><input type='radio' name='answer-21436[]' id='answer-id-83001' class='answer answer-20 js-answer-label answerof-21436' value='83001' \/>&nbsp;<label for='answer-id-83001' id='answer-label-83001' class='js-answer-label answer label-20'><span class='answer'>Configure CloudTrail to send the logs to an Amazon DynamoDB table. Create a dashboard in Amazon QulCkSight to query the logs in the table.<\/span><\/label><\/div>\n<input type='hidden' name='answer_ids[]' class='watu-answer-ids' value='83002' \/><div class='watu-question-choice'><input type='radio' name='answer-21436[]' id='answer-id-83002' class='answer answer-20 js-answer-label answerof-21436' value='83002' \/>&nbsp;<label for='answer-id-83002' id='answer-label-83002' class='js-answer-label answer label-20'><span class='answer'>use Amazon Athena to create an Athena notebook. Configure CloudTrail to send the logs to the notebook. Run queries from Athena.<\/span><\/label><\/div>\n<\/div><div class='show-question-feedback' style='display:none;'>it allows the company to keep the CloudTrail logs and query them at any time. By using the CloudTrail event history in the centralized account, the company can view, filter, and download recent API activity across multiple AWS accounts. By creating an Amazon Athena table from the CloudTrail event history, the company can use a serverless interactive query service that makes it easy to analyze data in S3 using standard SQL. By querying the CloudTrail logs from Athena, the company can gain insights into user activity and resource changes. Reference:<br\/>Viewing Events with CloudTrail Event History<br\/>Querying AWS CloudTrail Logs<br\/>Amazon Athena<\/div><input type='button' class='showchecked' style='margin: 10px 0;' onclick='showanswer1(20,this)' id='btn-20' value='See Answer'  \/><input type='hidden' id='questionType20' value='radio' class=''><\/div><div style='display:none' id='question-21'><br \/><div class='question-content'><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/blog.passtestking.com\/wp-content\/plugins\/watu\/loading.gif\" width=\"16\" height=\"16\" alt=\"Loading ...\" title=\"Loading ...\" \/>&nbsp;Loading &#8230;<\/div><\/div><br \/>\n<input type=\"button\" name=\"action\" onclick=\"Watu.submitResult()\" id=\"action-button\" style=\"margin:0 auto 20px auto;\" value=\"View Results\"  class=\"watu-submit-button\" \/>\n<input type=\"hidden\" name=\"no_ajax\" value=\"0\"><input type=\"hidden\" name=\"quiz_id\" value=\"1083\" \/>\n<input type=\"hidden\" id=\"watuStartTime\" name=\"start_time\" value=\"2026-08-26 11:42:06\" \/>\n<\/form>\n<\/div>\n<div id=\"watu-loading-result\" style=\"display:none;\">\n\t<p align=\"center\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/blog.passtestking.com\/wp-content\/plugins\/watu\/loading.gif\" width=\"16\" height=\"16\" alt=\"Loading\" title=\"Loading\" \/><\/p>\n<\/div>\t\n<script type=\"text\/javascript\">\nvar exam_id=0;\nvar question_ids='';\nvar watuURL='';\njQuery(function($){\nquestion_ids = \"21417,21418,21419,21420,21421,21422,21423,21424,21425,21426,21427,21428,21429,21430,21431,21432,21433,21434,21435,21436\";\nexam_id = 1083;\nWatu.exam_id = exam_id;\nWatu.qArr = question_ids.split(',');\nWatu.post_id = 2741;\nWatu.singlePage = '1';\nWatu.hAppID = \"0.76985000 1787744526\";\nwatuURL = \"https:\/\/blog.passtestking.com\/wp-admin\/admin-ajax.php\";\nWatu.noAlertUnanswered = 0;\n});\n\nfunction showanswer1(e,q) {\n\tvar check = new Array();\n\tjQuery('.answer-' + e).each(function (i) {\n\t\tcheck.push(this.checked)\n\t})\n\tlet textval = jQuery('.watu-textarea-' + e).val()\n\tif (jQuery.inArray(true, check) >= 0 || textval !== '' && textval !== undefined) {\n\t\tjQuery(q).stop().fadeOut(300)\n\t\tjQuery('.php-answer-label.label-' + e).addClass(\n\t\t\t'correct-answer'\n\t\t)\n\t\tjQuery('.answer-' + e).each(function (i) {\n\t\t\tif (this.checked && this.className.match(\/js\\-answer\/)) {\n\t\t\t\tvar number = this.id.toString().replace(\/\\D\/g, '')\n\t\t\t\tif (number) {\n\t\t\t\t\tjQuery('#answer-label-' + number).addClass('user-answer')\n\t\t\t\t}\n\t\t\t}\n\t\t})\n\t\tjQuery(q).siblings('.show-question-feedback').stop().fadeIn(300)\n\t\ttextval = ''\n\t} else if (textval == '' || textval == undefined){\n\t\t\/\/jQuery(\".hint\").stop().fadeIn(300)\n\t\talert('Please first answer the question');\n\t}\n}\nvar btnisshow = jQuery(\".php-answer-label\").length\nif (btnisshow > 0) {\n\tjQuery('.showchecked').show()\n} else {\n\tjQuery('.showchecked').hide()\n}\n<\/script>\n<p><strong>Download Free Latest Exam SAA-C03 Certified Sample Questions: <a href=\"https:\/\/www.passtestking.com\/Amazon\/SAA-C03-practice-exam-dumps.html\" target=\"_blank\">https:\/\/www.passtestking.com\/Amazon\/SAA-C03-practice-exam-dumps.html<\/a><\/strong><\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>Try Free and Start Using Realistic Verified SAA-C03 Dumps Instantly SAA-C03 Actual Questions &#8211; 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