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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
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
          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 Producers and Consumers- Producer API
                • 1. Serialization and partitioning strategies
                  • 2. Reliability and acknowledgments
                    - Consumer API
                    • 1. Consumer groups
                      • 2. Rebalancing and offset commits
                        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

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q26-Q31):

                                NEW QUESTION # 26
                                When auto.create.topics.enable is set to true in Kafka configuration, what are the circumstances under which a Kafka broker automatically creates a topic? (select three)

                                Answer: A,B,C

                                Explanation:
                                A kafka broker automatically creates a topic under the following circumstances- When a producer starts writing messages to the topic - When a consumer starts reading messages from the topic - When any client requests metadata for the topic


                                NEW QUESTION # 27
                                You need to set alerts on key broker metrics to trigger notifications when the cluster is unhealthy.
                                Which are three minimum broker metrics to monitor?
                                (Select three.)

                                Answer: C,D,E

                                Explanation:
                                These three metrics are critical for cluster health:
                                OfflinePartitionsCount: Indicates partitions without active leaders - a sign of broker failure.
                                ActiveControllerCount: There should be exactly one active controller. A count # 1 signals controller failure.
                                UncleanLeaderElectionsPerSec: Tracks leader elections where out-of-sync replicas were selected - risky for data loss.
                                From Kafka Monitoring Documentation:
                                "Offline partitions and unclean leader elections should trigger alerts. Also, ensure a single active controller is running." A is about topics pending deletion - not critical.
                                E is a per-topic record metric, not broker-level.
                                Reference: Kafka Monitoring > Key JMX Metrics


                                NEW QUESTION # 28
                                A consumer wants to read messages from a specific partition of a topic. How can this be achieved?

                                Answer: B

                                Explanation:
                                assign() can be used for manual assignment of a partition to a consumer, in which case subscribe() must not be used. Assign() takes a collection of TopicPartition object as an argument https://kafka.apache.org/23
                                /javadoc/org/apache/kafka/clients/consumer/KafkaConsumer.html#assign-java.util.Collection-


                                NEW QUESTION # 29
                                Which topic stores the sink connector offsets?

                                Answer: D


                                NEW QUESTION # 30
                                What isn't an internal Kafka Connect topic?

                                Answer: B

                                Explanation:
                                connect-configs stores configurations, connect-status helps to elect leaders for connect, and connect-offsets store source offsets for source connectors


                                NEW QUESTION # 31
                                ......

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