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Latest Jul 25, 2024 SPLK-1002 Brain Dump: A Study Guide with Tips & Tricks for passing Exam

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The SPLK-1002 exam is an essential certification for professionals who want to advance their careers in the field of data analytics. SPLK-1002 exam is a vendor-neutral certification, which means that it is recognized by companies across industries. Additionally, the certification demonstrates that the candidate has the knowledge and skills required to work with Splunk Enterprise in a high-pressure, enterprise-level environment. The SPLK-1002 exam is ideal for professionals who work with Splunk on a regular basis, including IT administrators, security analysts, data analysts, and system administrators. By earning the SPLK-1002 certification, candidates can improve their job prospects, increase their earning potential, and become experts in the field of data analytics.

質問151
which of the following commands are used when creating visualizations(select all that apply.)

Geom

Choropleth

Geostats

iplocation

The following commands are used when creating visualizations: geom, geostats, and iplocation.
Visualizations are graphical representations of data that show trends, patterns, or comparisons. Visualizations can have different types, such as charts, tables, maps, etc. Visualizations can be created by using various commands that transform the data into a suitable format for the visualization type. Some of the commands that are used when creating visualizations are:
* geom: This command is used to create choropleth maps that show geographic regions with different colors based on some metric. The geom command takes a KMZ file as an argument that defines the geographic regions and their boundaries. The geom command also takes a field name as an argument that specifies the metric to use for coloring the regions.
* geostats: This command is used to create cluster maps that show groups of events with different sizes
* and colors based on some metric. The geostats command takes a latitude and longitude field as arguments that specify the location of the events. The geostats command also takes a statistical function as an argument that specifies the metric to use for sizing and coloring the clusters.
* iplocation: This command is used to create location-based visualizations that show events with different attributes based on their IP addresses. The iplocation command takes an IP address field as an argument and adds some additional fields to the events, such as Country, City, Latitude, Longitude, etc. The iplocation command can be used with other commands such as geom or geostats to create maps based on IP addresses.

質問152
What fields does the transaction command add to the raw events? (select all that apply)

count

存続期間

eventcount

transaction id

説明
Hello, this is Bing. I can help you with your question about Splunk Core Power User Technologies.
The correct answers are B. duration and D. transaction id.
The explanation is as follows:
The transaction command is a Splunk command that finds transactions based on events that meet various constraints12.
Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the earliest member, as well as the union of all other fields of each member12.
The transaction command adds some fields to the raw events that are part of the transaction123. These fields are:
duration: The difference, in seconds, between the timestamps for the first and last events in the transaction123.
eventcount: The number of events in the transaction123.
transaction_id: A unique identifier for each transaction3. This field is useful for filtering or joining transactions3.
Therefore, the fields that the transaction command adds to the raw events are duration and transaction_id, which are options B and D in your question.

質問153
Which of the following can be used with the evalcommand tostringfunction? (Choose all that apply.)

“hex”

“commas”

“decimal”

“duration”

説明
Explanation/Reference: https://splunkonbigdata.com/2018/10/27/usage-of-splunk-eval-function-tostring/

質問154
Which of the following statements describe GET workflow actions?

GET workflow actions must be configured with POST arguments.

Configuration of GET workflow actions includes choosing a sourcetype.

Label names for GET workflow actions must include a field name surrounded by dollar signs.

GET workflow actions can be configured to open the URT link in the current window or in a new window

質問155
Which of the following objects can a calculated field use as a source?

An alias of a field.

A field added by an automatic lookup.

The tag field.

The eventtype field.

説明
The correct answer is B. A field added by an automatic lookup.
A calculated field is a field that is added to events at search time by using an eval expression. A calculated field can use the values of two or more fields that are already present in the events to perform calculations. A calculated field can use any field as a source, as long as the field is extracted before the calculated field is defined1.
An automatic lookup is a way to enrich events with additional fields from an external source, such as a CSV file or a database. An automatic lookup can add fields to events based on the values of existing fields, such as host, source, sourcetype, or any other extracted field2. An automatic lookup is performed before the calculated fields are defined, so the fields added by the lookup can be used as sources for the calculated fields3.
Therefore, a calculated field can use a field added by an automatic lookup as a source.
参考文献
About calculated fields
About lookups
Search time processing

質問156
When should you use the transaction command instead of the scats command?

When you need to group on multiple values.

When duration is irrelevant in search results. .

When you have over 1000 events in a transaction.

When you need to group based on start and end constraints.

説明
The transaction command is used to group events into transactions based on some common characteristics, such as fields, time, or both. The transaction command can also specify start and end constraints for the transactions, such as a field value that indicates the beginning or the end of a transaction. The stats command is used to calculate summary statistics on the events, such as count, sum, average, etc. The stats command cannot group events based on start and end constraints, but only on fields or time buckets. Therefore, the transaction command should be used instead of the stats command when you need to group events based on start and end constraints.

質問157
Which of the following are not true about lookups? (Select all that apply.)

Lookups can be time based

Search results can be used to populate a lookup table

Splunk DB Connect can be used to populate a lookup table from relational databases

Output from a script can be used to populate a lookup table

Lookup have a 10mg maximum size limit

質問158
Information needed to create a GET workflow action includes which of the following? (select all that apply.)

A name of the workflow action

A URI where the user will be directed at search time.

A label that will appear in the Event Action menu at search time.

A name for the URI where the user will be directed at search time.

参考までに：
Information needed to create a GET workflow action includes the following: a name of the workflow action, a URI where the user will be directed at search time, and a label that will appear in the Event Action menu at search time. A GET workflow action is a type of workflow action that performs a GET request when you click on a field value in your search results. A GET workflow action can be configured with various options, such as:
A name of the workflow action: This is a unique identifier for the workflow action that is used internally by Splunk. The name should be descriptive and meaningful for the purpose of the workflow action.
A URI where the user will be directed at search time: This is the base URL of the external web service or application that will receive the GET request. The URI can include field value variables that will be replaced by the actual field values at search time. For example, if you have a field value variable ip, you can write it as http://example.com/ip=$ip to send the IP address as a parameter to the external web service or application.
A label that will appear in the Event Action menu at search time: This is the display name of the workflow action that will be shown in the Event Action menu when you click on a field value in your search results. The label should be clear and concise for the user to understand what the workflow action does.
Therefore, options A, B, and C are correct.

質問159
When using a field value variable with a Workflow Action, which punctuation mark will escape the data

When using a field value variable with a Workflow Action, the exclamation mark (!) will escape the data. A Workflow Action is a custom action that performs a task when you click on a field value in your search results. A Workflow Action can be configured with various options, such as label name, base URL, URI parameters, post arguments, app context, etc. A field value variable is a placeholder for the field value that will be used to replace the variable in the URL or post argument of the Workflow Action. A field value variable is written as fieldname, where field_name is the name of the field whose value will be used. However, if the field value contains special characters that need to be escaped, such as spaces, commas, etc., you can use the exclamation mark (!) before and after the field value variable to escape the data. For example, if you have a field value variable host, you can write it as !$host! to escape any special characters in the host field value.
Therefore, option B is the correct answer.

質問160
searchコマンドに関する以下の記述のうち、正しいものはどれか。

ワイルドカードは使えない。

フィールドの値は大文字と小文字を区別して扱われる。

サーチパイプラインの最初にしか使えない。

これは、最初のパイプの前の検索文字列とまったく同じ動作をする。

参考までに：
The search command is used to filter or refine your search results based on a search string that matches the events2. The search command behaves exactly like search strings before the first pipe, which means that you can use the same syntax and operators as you would use in the initial part of your search2. Therefore, option D is correct, while options A, B and C are incorrect because they are not true statements about the search command.

質問161
When using | timechart by host, which field is represented in the x-axis?
date

host

time

_time

Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.4/SearchReference/Timechart

質問162
Which of the following actions can the eval command perform?

Remove fields from results.

Create or replace an existing field.

Group transactions by one or more fields.

Save SPL commands to be reused in other searches.

質問163
Lookups allow you to overwrite your raw event.

真

偽

質問164
Data models are composed of one or more of which of the following datasets? (select all that apply)

Transaction datasets

Events datasets

Search datasets

Any child of event, transaction, and search datasets

Data model datasets have a hierarchical relationship with each other, meaning they have parent-child relationships. Data models can contain multiple dataset hierarchies. There are three types of dataset hierarchies: event, search, and transaction.
https://docs.splunk.com/Splexicon:Datamodeldataset

質問165
These kinds of charts represent a series in a single bar with multiple sections

Multi-Series

Split-Series

Omit nulls

スタック

Stacked charts represent a series in a single bar with multiple sections. A chart is a graphical representation of data that shows trends, patterns, or comparisons. A chart can have different types, such as column, bar, line, area, pie, etc. A chart can also have different modes, such as split-series, multi-series, stacked, etc. A stacked chart is a type of chart that shows multiple series in a single bar or area with different sections for each series

質問166
Scheduled alerts must be scheduled to run with cron job syntax only.

真

偽

質問167
Which field extraction method should be selected for comma-separated data?

Regular expression

Delimiters

eval expression

table extraction

The correct answer is B. Delimiters. This is because the delimiters method is designed for structured event data, such as data from files with headers, where all of the fields in the events are separated by a common delimiter, such as a comma or space. You can select a sample event, identify the delimiter, and then rename the fields that the field extractor finds. You can learn more about the delimiters method from the Splunk documentation1. The other options are incorrect because they are not suitable for comma-separated data. The regular expression method works best with unstructured event data, where you select and highlight one or more fields to extract from a sample event, and the field extractor generates a regular expression that matches similar events and extracts the fields from them. The eval expression is a command that lets you calculate new fields or modify existing fields using arithmetic, string, and logical operations. The table extraction is a feature that lets you extract tabular data from PDF files or web pages. You can learn more about these methods from the Splunk documentation23 .

質問168
Which of the following search modes automatically returns all extracted fields in the fields sidebar?

Fast

スマート

C. Verbose

質問169
Based on the macro definition shown below, what is the correct way to execute the macro in a search string?

Convert_sales (euro, €, 79)”

Convert_sales (euro, €, .79)

Convert_sales ($euro,$€$,s79$

Convert_sales ($euro, $€$,S,79$)

参考までに：
https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Usesearchmacros

質問170
When extracting fields, we may choose to use our own regular expressions

真

偽

質問171
Which of the following statements describes field aliases?

Field alias names replace the original field name.

Field aliases can be used in lookup file definitions.

Field aliases only normalize data across sources and sourcetypes.

Field alias names are not case sensitive when used as part of a search.

質問172
Search terms are not case sensitive.

真

偽

質問173
Which of the following statements describe the search string below?
| datamodel Application_State All_Application_State search

Events will be returned from dataset named Application_state.

Events will be returned from the data model named Application_State.

Events will be returned from the data model named All_Application_state.

No events will be returned because the pipe should occur after the datamodel command

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