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Confluent CCDAK Exam Syllabus Topics:

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

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q51-Q56):

                                NEW QUESTION # 51
                                Which of the following is not an Avro primitive type?

                                Answer: D

                                Explanation:
                                date is a logical type


                                NEW QUESTION # 52
                                Kafka is configured with following parameters - log.retention.hours = 168 log.retention.minutes = 168 log.retention.ms = 168 How long will the messages be retained for?

                                Answer: B

                                Explanation:
                                If more than one similar config is specified, the smaller unit size will take precedence.


                                NEW QUESTION # 53
                                Match each configuration parameter with the correct deployment step in installing a Kafka connector.

                                Answer:

                                Explanation:

                                Explanation:
                                1st: Place the connector's JAR file in the directory specified by plugin.path
                                2nd: Restart the Kafka Connect cluster
                                3rd: Verify using REST API (/connector-plugins)
                                4th: Configure the connector
                                5th: (Repeat of 4th, duplicate step)
                                1st # Place the connector's JAR file in the directory specified by the plugin.path configuration.
                                2nd # Restart the Kafka Connect cluster.
                                3rd # Verify that the connector is installed by listing all available connectors using the Kafka Connect REST API (/connector-plugins).
                                4th # Configure the connector using a JSON or properties file with the necessary settings.
                                5th # Configure the connector using a JSON or properties file with the necessary settings.
                                Kafka Connect requires that custom connectors be placed in the directory defined by plugin.path. After restarting the cluster, you can use the REST API to confirm availability and then deploy the connector configuration.
                                From Kafka Connect Documentation:
                                "After placing the JAR in the plugin.path, you must restart the Connect cluster to pick it up. Use the
                                /connector-plugins REST endpoint to verify."
                                The duplication of configuration is an error in the question options and should occur only once.
                                Reference: Kafka Connect Plugin Installation Guide


                                NEW QUESTION # 54
                                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=1 can't produce?

                                Answer: B

                                Explanation:
                                min.insync.replicas does not impact producers when acks=1 (only when acks=all)


                                NEW QUESTION # 55
                                Which of the following statements are true regarding the number of partitions of a topic?

                                Answer: D

                                Explanation:
                                We can only add partitions to an existing topic, and it must be done using the kafka-topics.sh command


                                NEW QUESTION # 56
                                ......

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