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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Kafka Streams and Processing- Event processing patterns
  • 1. Exactly-once semantics
    • 2. Windowing and aggregation
      - Kafka Streams API
      • 1. Stream processing fundamentals
        • 2. Stateful vs stateless processing
          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 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- Producer API
                        • 1. Reliability and acknowledgments
                          • 2. Serialization and partitioning strategies
                            - Consumer API
                            • 1. Consumer groups
                              • 2. Rebalancing and offset commits

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q62-Q67):

                                NEW QUESTION # 62
                                Once sent to a topic, a message can be modified

                                Answer: B

                                Explanation:
                                Kafka logs are append-only and the data is immutable


                                NEW QUESTION # 63
                                You need to configure a sink connector to write records that fail into a dead letter queue topic.
                                Requirements:
                                * Topic name: DLQ-Topic
                                * Headers containing error context must be added to the messagesWhich three configuration parameters are necessary?(Select three.)

                                Answer: A,D,E

                                Explanation:
                                To send failed records to adead letter queue (DLQ), you must configure:
                                * errors.tolerance=all: Tells the connector tonot failon errors but handle them (e.g., send to DLQ).
                                * errors.deadletterqueue.topic.name=DLQ-Topic: Specifies the DLQ topic.
                                * errors.deadletterqueue.context.headers.enable=true: Includes error context in message headers.
                                FromKafka Connect Error Handling Docs:
                                "Kafka Connect supports directing problematic records to a separate topic (DLQ) using errors.* configs.
                                Headers can include failure metadata."
                                Options D, E, F are related tologging, not DLQ behavior.
                                Reference:Kafka Connect Configurations > Error Handling


                                NEW QUESTION # 64
                                Which message delivery semantic is guaranteed by Kafka Connect?

                                Answer: C


                                NEW QUESTION # 65
                                A kafka topic has a replication factor of 3 and min.insync.replicas setting of 2. How many brokers can go down before a producer with acks=all can't produce?

                                Answer: A

                                Explanation:
                                acks=all and min.insync.replicas=2 means we must have at least 2 brokers up for the partition to be available


                                NEW QUESTION # 66
                                The exactly once guarantee in the Kafka Streams is for which flow of data?

                                Answer: C

                                Explanation:
                                Kafka Streams can only guarantee exactly once processing if you have a Kafka to Kafka topology.


                                NEW QUESTION # 67
                                ......

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