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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Kafka Ecosystem and Confluent Platform- ksqlDB and connectors
  • 1. Stream querying concepts
    • 2. Kafka Connect basics
      - Schema Registry
      • 1. Avro, Protobuf, JSON Schema usage
        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
                Kafka Fundamentals- Kafka architecture and core concepts
                • 1. Replication and fault tolerance
                  • 2. Brokers, topics, partitions
                    - Data flow in Kafka
                    • 1. Offset management
                      • 2. Producer and consumer model
                        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

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q89-Q94):

                                NEW QUESTION # 89
                                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 consume request is sent to broker?

                                Answer: A

                                Explanation:
                                With this configuration, a single in-sync replica is still readable, but not writeable if the producer using acks=all


                                NEW QUESTION # 90
                                (You are writing lightweight XML messages to a Kafka topic named userinfo.
                                Which format should you use for the value field?)

                                Answer: B

                                Explanation:
                                Apache Kafka does not impose any schema or message format; it treats records as byte arrays on the wire.
                                Serialization is therefore the responsibility of the producer. For lightweight XML messages, the most common and recommended approach is to represent the XML as a UTF-8 encoded string and use Kafka's built-in StringSerializer.
                                The official Kafka producer documentation provides StringSerializer as the standard serializer for textual data formats, including XML and JSON. This serializer converts Java String objects into byte arrays using UTF-8 encoding, making it simple, efficient, and interoperable with a wide range of consumers.
                                Option A is incorrect because Kafka does not provide a built-in XmlSerializer. Option C (ByteSerializer) could technically work, but it would require manually converting the XML string to a byte array, which adds unnecessary complexity for lightweight XML payloads. Option D (VoidSerializer) is used only when no value is sent and is not applicable here.
                                Therefore, using StringSerializer for the value field is the correct and officially supported approach for sending lightweight XML messages in Kafka.


                                NEW QUESTION # 91
                                What Java library is KSQL based on?

                                Answer: B

                                Explanation:
                                KSQL is based on Kafka Streams and allows you to express transformations in the SQL language that get automatically converted to a Kafka Streams program in the backend


                                NEW QUESTION # 92
                                You are receiving orders from different customer in an "orders" topic with multiple partitions. Each message has the customer name as the key. There is a special customer named ABC that generates a lot of orders and you would like to reserve a partition exclusively for ABC. The rest of the message should be distributed among other partitions. How can this be achieved?

                                Answer: C

                                Explanation:
                                A Custom Partitioner allows you to easily customise how the partition number gets computed from a source message.


                                NEW QUESTION # 93
                                What client protocol is supported for the schema registry? (select two)

                                Answer: A,B

                                Explanation:
                                clients can interact with the schema registry using the HTTP or HTTPS interface


                                NEW QUESTION # 94
                                ......

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