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Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Kafka Connect	15%	- Data transformation and integration patterns - Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters
Apache Kafka Application Development	28%	- Producer API: configuration, serialization, partitioning, error handling - Transactional messaging and idempotence - Consumer API: configuration, offset management, consumer groups, rebalancing - Schema management: Confluent Schema Registry, compatibility rules, evolution
Apache Kafka Fundamentals	23%	- Kafka architecture and data flow - Core concepts: brokers, topics, partitions, replicas, offsets - Delivery semantics: at-most-once, at-least-once, exactly-once - Configuration basics and cluster setup
Apache Kafka Streams	12%	- Windowing and time semantics - Streams API concepts: topology, processors, state stores - Error handling and state management - Stream processing operations: map, filter, join, aggregation
Application Observability	13%	- Tracing and performance tuning - Logging and monitoring metrics - Error diagnosis and troubleshooting
Application Testing	8%	- Integration testing and test clusters - Unit testing producers and consumers - Mocking and test utilities

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q36-Q41):

NEW QUESTION # 36
You are developing a Java application using a Kafka consumer.
You need to integrate Kafka's client logs with your own application's logs using log4j2.
Which Java library dependency must you include in your project?

A. SLF4J implementation for Log4j2 (org.apache.logging.log4j:log4j-slf4j-impl)
B. None, the right dependency will be added by the Kafka client dependency by transitivity.
C. Just the log4j2 dependency of the application
D. SLF4J implementation for Log4j 1.2 (org.slf4j:slf4j-log4j12)

Answer: A

Explanation:
Kafka clients use SLF4J as a logging facade. To redirect Kafka logs to log4j2, you must include the SLF4J binding for log4j2 in your classpath:
"org.apache.logging.log4j:log4j-slf4j-impl bridges SLF4J to Log4j2 so that Kafka's logs integrate into your application's Log4j2 configuration." Option A is for Log4j 1.x, which is outdated.
Option C is incorrect; Kafka clients don't include logging bindings.
Option D is insufficient without the SLF4J bridge.
Reference: Kafka Logging Integration Practices

NEW QUESTION # 37
You need to explain the best reason to implement the consumer callback interface ConsumerRebalanceListener prior to a Consumer Group Rebalance.
Which statement is correct?

A. Partitions assigned to a consumer may change.
B. Offsets are compacted.
C. Partition leaders may change.
D. Previous log files are deleted.

Answer: A

Explanation:
The ConsumerRebalanceListener lets youhandle partition assignments and revocationsduring rebalances.
This is critical for managingoffsets,stateful processing, orexternal transactions.
FromKafka Consumer Rebalance Docs:
"Implementing ConsumerRebalanceListener allows your application to take action before and after partitions are reassigned."
* A is true: It lets your app react when partitionsassigned to the consumer change.
* B, C, and D are unrelated to consumer rebalancing directly.
Reference:Kafka Consumer JavaDocs > ConsumerRebalanceListener

NEW QUESTION # 38
When using plain JSON data with Connect, you see the following error messageorg.apache.kafka.connect.errors.DataExceptionJsonDeserializer with schemas.enable requires "schema" and "payload" fields and may not contain additional fields. How will you fix the error?

A. Set key.converter.schemas.enable and value.converter.schemas.enable to false
B. Set key.converter, value.converter to JsonConverter and the schema registry url
C. Set key.converter, value.converter to AvroConverter and the schema registry url
D. Use Single Message Transforms to add schema and payload fields in the message

Answer: A

Explanation:
You will need to set the schemas.enable parameters for the converter to false for plain text with no schema.

NEW QUESTION # 39
You have a consumer group with default configuration settings reading messages from your Kafka cluster.
You want to optimize its throughput so the consumer group processes more messages in the same amount of time.
Which changes increase the consumption throughput?

A. Increase the number of bytes the consumers read with each fetch request.
B. Remove some consumers from the consumer group.
C. Decrease the session timeout of each consumer.
D. Disable auto commit and have the consumers manually commit offsets.

Answer: A

NEW QUESTION # 40
How will you find out all the partitions without a leader?

A. kafka-topics.sh --zookeeper localhost:2181 --describe --under-replicated-partitions
B. kafka-topics.sh --broker-list localhost:9092 --describe --under-replicated-partitions
C. kafka-topics.sh --bootstrap-server localhost:2181 --describe --unavailable-partitions
D. kafka-topics.sh --zookeeper localhost:2181 --describe --unavailable-partitions

Answer: D

Explanation:
Please note that as of Kafka 2.2, the --zookeeper option is deprecated and you can now usekafka-topics.sh --bootstrap-server localhost:9092 --describe --unavailable-partitions

NEW QUESTION # 41
......

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