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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Topic 1: Kafka Streams and Processing- Kafka Streams API
  • 1. Stream processing fundamentals
    • 2. Stateful vs stateless processing
      - Event processing patterns
      • 1. Windowing and aggregation
        • 2. Exactly-once semantics
          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 Fundamentals- Data flow in Kafka
                        • 1. Offset management
                          • 2. Producer and consumer model
                            - Kafka architecture and core concepts
                            • 1. Brokers, topics, partitions
                              • 2. Replication and fault tolerance

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q90-Q95):

                                NEW QUESTION # 90
                                If a topic has a replication factor of 3...

                                Answer: D

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


                                NEW QUESTION # 91
                                Which two statements are correct about transactions in Kafka?
                                (Select two.)

                                Answer: A,C

                                Explanation:
                                Comprehensive and Detailed Explanation From Exact Extract:
                                # C. Consumers can consume both committed and uncommitted transactions.By default, Kafka consumers only read committed messages if they are configured with isolation.level=read_committed. However, if configured as read_uncommitted, they can also consume uncommitted (potentially aborted) transactional messages.
                                From Kafka Documentation:
                                "The isolation.level setting controls whether the consumer will read only committed messages or all messages, including uncommitted messages from ongoing or aborted transactions."
                                # D. Information about producers and their transactions is stored in the _transaction_state topic.Kafka uses an internal topic named __transaction_state to maintain metadata about producer transactions. This topic is essential for tracking the transaction lifecycle, fencing, and recovery.
                                From Kafka Internals:
                                "Kafka stores the state of active and completed transactions in an internal topic called __transaction_state."


                                NEW QUESTION # 92
                                The producer code below features a Callback class with a method called onCompletion().
                                In the onCompletion() method, when the request is completed successfully, what does the value metadata.
                                offset() represent?

                                Answer: B

                                Explanation:
                                The offset in the RecordMetadata object returned by the producer represents the position of the record in the partition - i.e., the sequential ID assigned by Kafka once the message is committed.
                                From Kafka Producer API Documentation:
                                "The offset is the position of the record in the partition. This is a unique, sequential number assigned by the broker." D refers to metadata.partition(), not offset().
                                B and C are unrelated to how Kafka handles committed offsets.
                                Reference: Kafka Producer Java API > RecordMetadata


                                NEW QUESTION # 93
                                Which configuration determines how many bytes of data are collected before sending messages to the Kafka broker?

                                Answer: C

                                Explanation:
                                The batch.size config sets the maximum number of bytes to batch per partition before sending. This allows Kafka producers to amortize I/O and improve throughput.
                                From Kafka Producer Configuration Docs:
                                "batch.size is the maximum amount of data per partition the producer will batch before sending." buffer.memory sets total memory for the producer, not per-batch.
                                send.buffer.bytes is a TCP socket buffer, not a Kafka config.
                                max.block.ms controls blocking time, not size.
                                Reference: Kafka Producer Configs > batch.size


                                NEW QUESTION # 94
                                You have a Kafka consumer in production actively reading from a critical topic.
                                You need to update the offset of your consumer to start reading from the beginning of the topic.
                                Which action should you take?

                                Answer: C

                                Explanation:
                                To reset offsets for anexisting consumer group, you must use thekafka-consumer-groups.shtool with the -- reset-offsets and --to-earliest flags.
                                FromKafka Consumer Group Tool Documentation:
                                "You can use the kafka-consumer-groups tool to reset offsets for a consumer group. This is required if the consumer has already committed offsets."
                                * Setting auto.offset.reset=earliest only worksif no committed offset exists.
                                * Starting a new consumer with the same group won't reset offsets.
                                * Retention settings don't affect committed offsets.
                                Reference:Kafka Consumer Group CLI Tool


                                NEW QUESTION # 95
                                ......

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