{"id":2861,"date":"2026-08-24T10:11:55","date_gmt":"2026-08-24T10:11:55","guid":{"rendered":"https:\/\/blog.passtestking.com\/?p=2861"},"modified":"2026-08-24T10:11:55","modified_gmt":"2026-08-24T10:11:55","slug":"updated-pdf-new-2026-actual-confluent-ccdak-exam-questions-q51-q65","status":"publish","type":"post","link":"https:\/\/blog.passtestking.com\/zh\/2026\/08\/24\/updated-pdf-new-2026-actual-confluent-ccdak-exam-questions-q51-q65\/","title":{"rendered":"Updated PDF (New 2026) Actual Confluent CCDAK Exam Questions [Q51-Q65]"},"content":{"rendered":"\n\n
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Updated PDF (New 2026) Actual Confluent CCDAK Exam Questions<\/span><\/strong><\/span><\/p>\n

Verified CCDAK Exam Dumps PDF [2026] Access using PassTestking<\/span><\/strong><\/p>\n

Confluent CCDAK Exam Syllabus Topics:<\/h3>\n\n\n\n\n\n\n\n\n\n
Section<\/th>\nWeight<\/th>\nObjectives<\/th>\n<\/tr>\n
Apache Kafka Streams<\/td>\n12%<\/td>\n– Streams API concepts: topology, processors, state stores
\n– Stream processing operations: map, filter, join, aggregation
\n– Error handling and state management
\n– Windowing and time semantics\n<\/td>\n<\/tr>\n
Application Observability<\/td>\n13%<\/td>\n– Tracing and performance tuning
\n– Logging and monitoring metrics
\n– Error diagnosis and troubleshooting\n<\/td>\n<\/tr>\n
Apache Kafka Fundamentals<\/td>\n23%<\/td>\n– Core concepts: brokers, topics, partitions, replicas, offsets
\n– Delivery semantics: at-most-once, at-least-once, exactly-once
\n– Kafka architecture and data flow
\n– Configuration basics and cluster setup\n<\/td>\n<\/tr>\n
Application Testing<\/td>\n8%<\/td>\n– Unit testing producers and consumers
\n– Integration testing and test clusters
\n– Mocking and test utilities\n<\/td>\n<\/tr>\n
Apache Kafka Application Development<\/td>\n28%<\/td>\n– Consumer API: configuration, offset management, consumer groups, rebalancing
\n– Transactional messaging and idempotence
\n– Schema management: Confluent Schema Registry, compatibility rules, evolution
\n– Producer API: configuration, serialization, partitioning, error handling\n<\/td>\n<\/tr>\n
Kafka Connect<\/td>\n15%<\/td>\n– Source and sink connectors configuration
\n– Data transformation and integration patterns
\n– Connect architecture: workers, connectors, tasks, converters\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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QUESTION 51<\/strong>
(You are configuring a source connector that writes records to an Orders topic.
You need to send some of the records to a different topic.
Which Single Message Transform (SMT) is best suited for this requirement?)<\/p>\n<\/div>