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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Kafka Ecosystem and Confluent Platform- Schema Registry
  • 1. Avro, Protobuf, JSON Schema usage
    - ksqlDB and connectors
    • 1. Stream querying concepts
      • 2. Kafka Connect basics
        Kafka Producers and Consumers- Consumer API
        • 1. Consumer groups
          • 2. Rebalancing and offset commits
            - Producer API
            • 1. Reliability and acknowledgments
              • 2. Serialization and partitioning strategies
                Kafka Fundamentals- Data flow in Kafka
                • 1. Offset management
                  • 2. Producer and consumer model
                    - Kafka architecture and core concepts
                    • 1. Replication and fault tolerance
                      • 2. Brokers, topics, partitions
                        Kafka Streams and Processing- Kafka Streams API
                        • 1. Stateful vs stateless processing
                          • 2. Stream processing fundamentals
                            - Event processing patterns
                            • 1. Exactly-once semantics
                              • 2. Windowing and aggregation

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q88-Q93):

                                NEW QUESTION # 88
                                To prevent network-induced duplicates when producing to Kafka, I should use

                                Answer: A

                                Explanation:
                                Producer idempotence helps prevent the network introduced duplicates. More details herehttps://cwiki.apache.
                                org/confluence/display/KAFKA/Idempotent+Producer


                                NEW QUESTION # 89
                                Which type of system best describes Apache Kafka? (Choose 2.)

                                Answer: D,E


                                NEW QUESTION # 90
                                Kafka producers can batch messages going to the same partition.
                                Which statement is correct about producer batching?

                                Answer: D

                                Explanation:
                                Kafka producers can group messages destined fordifferent partitionsintoseparate batches, and send multiple batches in one requestto optimize network usage.
                                FromKafka Producer Internals:
                                "The producer maintains buffers (batches) for each partition and can send multiple of these batches together in a single request to the broker."
                                * Message size is not a constraint for batching (A is false).
                                * Broker failures don't disable batching (B is false).
                                * There isno separate thread per batch(C is false).
                                Reference:Kafka Producer Architecture and Internals


                                NEW QUESTION # 91
                                In Avro, adding a field to a record without default is a __ schema evolution

                                Answer: C

                                Explanation:
                                Clients with old schema will be able to read records saved with new schema.


                                NEW QUESTION # 92
                                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?

                                Answer: C

                                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 # 93
                                ......

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