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Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Application Observability	13%	- Tracing and performance tuning - Logging and monitoring metrics - Error diagnosis and troubleshooting
Topic 2: Apache Kafka Application Development	28%	- Schema management: Confluent Schema Registry, compatibility rules, evolution - Transactional messaging and idempotence - Consumer API: configuration, offset management, consumer groups, rebalancing - Producer API: configuration, serialization, partitioning, error handling
Topic 3: Apache Kafka Fundamentals	23%	- Kafka architecture and data flow - Core concepts: brokers, topics, partitions, replicas, offsets - Configuration basics and cluster setup - Delivery semantics: at-most-once, at-least-once, exactly-once
Topic 4: Kafka Connect	15%	- Data transformation and integration patterns - Connect architecture: workers, connectors, tasks, converters - Source and sink connectors configuration
Topic 5: Apache Kafka Streams	12%	- Error handling and state management - Streams API concepts: topology, processors, state stores - Stream processing operations: map, filter, join, aggregation - Windowing and time semantics
Topic 6: Application Testing	8%	- Integration testing and test clusters - Mocking and test utilities - Unit testing producers and consumers

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q42-Q47):

NEW QUESTION # 42
(You are developing a Java application that includes a Kafka consumer.
You need to integrate Kafka client logs with your own application logs.
Your application is using the Log4j2 logging framework.
Which Java library dependency must you include in your project?)

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

Answer: D

Explanation:
According to the official Apache Kafka client documentation, Kafka uses SLF4J (Simple Logging Facade for Java) for all client-side logging. SLF4J is only an abstraction layer and requires a concrete logging implementation to route log messages to the actual logging framework used by the application.
Since the application uses Log4j2, an SLF4J-to-Log4j2 binding must be provided. The correct and officially recommended dependency is org.apache.logging.log4j:log4j-slf4j-impl. This dependency acts as the SLF4J implementation and forwards all Kafka client log messages to Log4j2, ensuring consistent logging across the application.
Option B is incorrect because it targets the legacy Log4j 1.2 framework, which is deprecated and incompatible with Log4j2. Option C is insufficient because Log4j2 alone does not satisfy Kafka's SLF4J dependency. Option D is incorrect because Kafka intentionally does not include a logging implementation transitively, allowing applications to choose their preferred logging framework.
Therefore, including the SLF4J implementation for Log4j2 is required to properly integrate Kafka client logs.

NEW QUESTION # 43
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. Use Single Message Transforms to add schema and payload fields in the message
B. Set key.converter, value.converter to AvroConverter and the schema registry url
C. Set key.converter.schemas.enable and value.converter.schemas.enable to false
D. Set key.converter, value.converter to JsonConverter and the schema registry url

Answer: C

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

NEW QUESTION # 44
Which of the following is true regarding thread safety in the Java Kafka Clients?

A. One Consumer can be safely used in multiple threads
B. One Producer needs to be run in one thread
C. One Consumer needs to run in one thread
D. One Producer can be safely used in multiple threads

Answer: C,D

Explanation:
KafkaConsumer is not thread-safe, KafkaProducer is thread safe.

NEW QUESTION # 45
What is true about partitions? (select two)

A. You cannot have more partitions than the number of brokers in your cluster
B. Only out of sync replicas are replicas, the remaining partitions that are in sync are also leader
C. A partition has one replica that is a leader, while the other replicas are followers
D. A broker can have a partition and its replica on its disk
E. A broker can have different partitions numbers for the same topic on its disk

Answer: C,E

Explanation:
Only one of the replicas is elected as partition leader. And a broker can definitely hold many partitions from the same topic on its disk, try creating a topic with 12 partitions on one broker!

NEW QUESTION # 46
How will you find out all the partitions without a leader?

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

Answer: B

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 # 47
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