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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. Offset management
        • 2. Producer and consumer model
          Topic 2: 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
                  Topic 3: 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 4: 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

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q84-Q89):

                                NEW QUESTION # 84
                                There are 3 producers writing to a topic with 5 partitions. There are 5 consumers consuming from the topic. How many Controllers will be present in the cluster?

                                Answer: D

                                Explanation:
                                There is only one controller in a cluster at all times.


                                NEW QUESTION # 85
                                In Kafka, every broker... (select three)

                                Answer: A,B,C

                                Explanation:
                                Kafka topics are divided into partitions and spread across brokers. Each brokers knows about all the metadata and each broker is a bootstrap broker, but only one of them is elected controller


                                NEW QUESTION # 86
                                A kafka topic has a replication factor of 3 and min.insync.replicas setting of 1. What is the maximum number of brokers that can be down so that a producer with acks=all can still produce to the topic?

                                Answer: C

                                Explanation:
                                Two brokers can go down, and one replica will still be able to receive and serve data


                                NEW QUESTION # 87
                                You need to consume messages from Kafka using the command-line interface (CLI).
                                Which command should you use?

                                Answer: A

                                Explanation:
                                The official CLI utility for consuming messages from Kafka topics is kafka-console-consumer.sh. It connects to the broker, consumes messages, and prints them to standard output.
                                FromKafka CLI Tools Documentation:
                                "kafka-console-consumer.sh is used to read data from a Kafka topic and write it to standard output." The other options are not valid Kafka CLI tools.
                                Reference:Apache Kafka Documentation > kafka-console-consumer.sh


                                NEW QUESTION # 88
                                What does producing data to a topic with a message key allow?

                                Answer: D


                                NEW QUESTION # 89
                                ......

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