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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Topic 1: Kafka Fundamentals- Kafka architecture and core concepts
  • 1. Brokers, topics, partitions
    • 2. Replication and fault tolerance
      - Data flow in Kafka
      • 1. Producer and consumer model
        • 2. Offset management
          Topic 2: Kafka Streams and Processing- Event processing patterns
          • 1. Exactly-once semantics
            • 2. Windowing and aggregation
              - Kafka Streams API
              • 1. Stateful vs stateless processing
                • 2. Stream processing fundamentals
                  Topic 3: Kafka Ecosystem and Confluent Platform- ksqlDB and connectors
                  • 1. Kafka Connect basics
                    • 2. Stream querying concepts
                      - Schema Registry
                      • 1. Avro, Protobuf, JSON Schema usage
                        Topic 4: Kafka Producers and Consumers- Producer API
                        • 1. Serialization and partitioning strategies
                          • 2. Reliability and acknowledgments
                            - Consumer API
                            • 1. Rebalancing and offset commits
                              • 2. Consumer groups

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q82-Q87):

                                NEW QUESTION # 82
                                You are building a consumer application that processes events from a Kafka topic. What is the most important metric to monitor to ensure real-time processing?

                                Answer: C

                                Explanation:
                                This metric shows the current lag (number of messages behind the broker)


                                NEW QUESTION # 83
                                Which feature determines the maximum parallelism at which a Kafka Streams application can run?

                                Answer: B


                                NEW QUESTION # 84
                                Which two statements about Kafka Connect Single Message Transforms (SMTs) are correct?
                                (Select two.)

                                Answer: A,D

                                Explanation:
                                SMTs (Single Message Transforms) arelightweight transformationsapplied to individual messages as they pass through Kafka Connect.
                                * Chaining SMTs: You can applymultiple SMTsin sequence by defining them in order in the connector config.
                                * Masking or modifying fieldsis acommon use case(e.g., redacting sensitive data).
                                FromKafka Connect Documentation:
                                "Single Message Transforms (SMTs) are applied to individual messages. You can chain multiple SMTs together."
                                * SMTsdo not perform joins(B is incorrect).
                                * Converters and SMTs areseparate concerns(D is incorrect).
                                Reference:Kafka Connect Transformations Guide


                                NEW QUESTION # 85
                                To allow consumers in a group to resume at the previously committed offset, I need to set the proper value for...

                                Answer: D

                                Explanation:
                                Setting a group.id that's consistent across restarts will allow your consumers part of the same group to resume reading from where offsets were last committed for that group


                                NEW QUESTION # 86
                                (You have a Kafka consumer in production actively reading from a critical topic from which multiple other applications are consuming.
                                You have a new requirement to update the offset of your consumer to start reading from the beginning of the topic.
                                Which action would you take?)

                                Answer: B

                                Explanation:
                                The Apache Kafka documentation states that consumer offsets are stored per consumer group and must be explicitly reset if an application needs to reprocess data from an earlier position. The officially supported and safest way to reset offsets for an existing consumer group is by using the kafka-consumer-groups CLI tool with the --reset-offsets option and the --to-earliest flag.
                                Setting auto.offset.reset=earliest (Option D) only applies when no committed offset exists for a partition.
                                Since this consumer is already running in production, offsets are already committed, making this option ineffective. Option C does not change offsets because Kafka identifies consumers by group ID, not application instance. Option B is extremely dangerous and incorrect, as setting retention.ms=0 deletes data for all consumers and impacts other applications.
                                Therefore, using the CLI to reset offsets for the specific consumer group ensures controlled, auditable, and targeted offset management without affecting other consumers or the topic itself. This approach is explicitly documented in Kafka's consumer group administration tools.


                                NEW QUESTION # 87
                                ......

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