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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- ksqlDB and connectors
                  • 1. Stream querying concepts
                    • 2. Kafka Connect basics
                      - Schema Registry
                      • 1. Avro, Protobuf, JSON Schema usage
                        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 (Q73-Q78):

                                NEW QUESTION # 73
                                If I produce to a topic that does not exist, and the broker setting auto.create.topic.enable=true, what will happen?

                                Answer: A

                                Explanation:
                                The broker settings comes into play when a topic is auto created


                                NEW QUESTION # 74
                                When using plain JSON data with Connect, you see the following error messageorg.apache.kafka.connect.errors.DataExceptionJsonDeserializer with schemas.enable requires "schema" and "payload" fields and may not contain additional fields. How will you fix the error?

                                Answer: B

                                Explanation:
                                You will need to set the schemas.enable parameters for the converter to false for plain text with no schema.


                                NEW QUESTION # 75
                                You are working on a Kafka cluster with three nodes. You create a topic named orders with:
                                * replication.factor = 3
                                * min.insync.replicas = 2
                                * acks = allWhat exception will be generated if two brokers are down due to network delay?

                                Answer: D

                                Explanation:
                                With acks=all and min.insync.replicas=2, Kafka requiresat least two in-sync replicasto acknowledge a write.
                                If onlyone broker is alive, the condition fails, andNotEnoughReplicasExceptionis thrown by the producer.
                                FromKafka Producer Exception Docs:
                                "NotEnoughReplicasException is thrown when the number of in-sync replicas is insufficient to satisfy acks=all with min.insync.replicas."
                                * NetworkException is generic and not raised here.
                                * NotCoordinatorException is related to consumer group coordination.
                                * NotLeaderForPartitionException is unrelated unless accessing an unassigned leader.
                                Reference:Kafka Producer Error Handling


                                NEW QUESTION # 76
                                If a topic has a replication factor of 3...

                                Answer: B

                                Explanation:
                                Replicas are spread across available brokers, and each replica = one broker. RF 3 = 3 brokers


                                NEW QUESTION # 77
                                A producer just sent a message to the leader broker for a topic partition. The producer used acks=1 and therefore the data has not yet been replicated to followers. Under which conditions will the consumer see the message?

                                Answer: B

                                Explanation:
                                The high watermark is an advanced Kafka concept, and is advanced once all the ISR replicates the latest offsets. A consumer can only read up to the value of the High Watermark (which can be less than the highest offset, in the case of acks=1)


                                NEW QUESTION # 78
                                ......

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