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Confluent CCDAK Exam Syllabus Topics:

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

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q33-Q38):

                                NEW QUESTION # 33
                                When auto.create.topics.enable is set to true in Kafka configuration, what are the circumstances under which a Kafka broker automatically creates a topic? (select three)

                                Answer: A,C,D

                                Explanation:
                                A kafka broker automatically creates a topic under the following circumstances- When a producer starts writing messages to the topic - When a consumer starts reading messages from the topic - When any client requests metadata for the topic


                                NEW QUESTION # 34
                                In Avro, removing or adding a field that has a default is a __ schema evolution

                                Answer: D

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


                                NEW QUESTION # 35
                                A topic has three replicas and you set min.insync.replicas to 2. If two out of three replicas are not available, what happens when a produce request with acks=all is sent to broker?

                                Answer: C

                                Explanation:
                                With this configuration, a single in-sync replica becomes read-only. Produce request will receive NotEnoughReplicasException.


                                NEW QUESTION # 36
                                In the Kafka consumer metrics it is observed that fetch-rate is very high and each fetch is small. What steps will you take to increase throughput?

                                Answer: A

                                Explanation:
                                This will allow consumers to wait and receive more bytes in each fetch request.


                                NEW QUESTION # 37
                                To transform data from a Kafka topic to another one, I should use

                                Answer: B

                                Explanation:
                                Kafka Streams is a library for building streaming applications, specifically applications that transform input Kafka topics into output Kafka topics


                                NEW QUESTION # 38
                                ......

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