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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Topic 1: 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
          Topic 2: 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
                  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. Windowing and aggregation
                          • 2. Exactly-once semantics
                            - Kafka Streams API
                            • 1. Stream processing fundamentals
                              • 2. Stateful vs stateless processing

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                                The Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) certification exam is one of the hottest and most industrial-recognized credentials that has been inspiring beginners and experienced professionals since its beginning. With the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) certification exam successful candidates can gain a range of benefits which include career advancement, higher earning potential, industrial recognition of skills and job security, and more career personal and professional growth.

                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q55-Q60):

                                NEW QUESTION # 55
                                What is the default port that the KSQL server listens on?

                                Answer: C

                                Explanation:
                                Default port of KSQL server is 8088


                                NEW QUESTION # 56
                                How do you create a topic named test with 3 partitions and 3 replicas using the Kafka CLI?

                                Answer: D

                                Explanation:
                                As of Kafka 2.3, the kafka-topics.sh command can take --bootstrap-server localhost:9092 as an argument. You could also use the (now deprecated) option of --zookeeper localhost:2181.


                                NEW QUESTION # 57
                                You are doing complex calculations using a machine learning framework on records fetched from a Kafka topic. It takes more about 6 minutes to process a record batch, and the consumer enters rebalances even though it's still running. How can you improve this scenario?

                                Answer: A

                                Explanation:
                                Here, we need to change the setting max.poll.interval.ms (default 300000) to its double in order to tell Kafka a consumer should be considered dead if the consumer only if it hasn't called the .poll() method in 10 minutes instead of 5.


                                NEW QUESTION # 58
                                You are developing a Java application using a Kafka consumer.
                                You need to integrate Kafka's client logs with your own application's logs using log4j2.
                                Which Java library dependency must you include in your project?

                                Answer: C

                                Explanation:
                                Kafka clients use SLF4J as a logging facade. To redirect Kafka logs to log4j2, you must include the SLF4J binding for log4j2 in your classpath:
                                "org.apache.logging.log4j:log4j-slf4j-impl bridges SLF4J to Log4j2 so that Kafka's logs integrate into your application's Log4j2 configuration." Option A is for Log4j 1.x, which is outdated.
                                Option C is incorrect; Kafka clients don't include logging bindings.
                                Option D is insufficient without the SLF4J bridge.
                                Reference: Kafka Logging Integration Practices


                                NEW QUESTION # 59
                                Your application is consuming from a topic with one consumer group.
                                The number of running consumers is equal to the number of partitions.
                                Application logs show that some consumers are leaving the consumer group during peak time, triggering a rebalance. You also notice that your application is processing many duplicates.
                                You need to stop consumers from leaving the consumer group.
                                What should you do?

                                Answer: A

                                Explanation:
                                If the consumer fails to send heartbeats in time (due to being slow under load), it is considereddead, causing a rebalance. Increasing session.timeout.ms gives the consumermore time to process messages and send heartbeats, preventing premature removal.
                                FromKafka Docs > Heartbeats and Failures:
                                "If the consumer does not send a heartbeat in session.timeout.ms, it is considered dead and the group coordinator will trigger a rebalance." Reducing max.poll.records mightslow consumption further. More consumers won't help since each partition already has a dedicated consumer.
                                Reference:Apache Kafka Consumer Configs > session.timeout.ms


                                NEW QUESTION # 60
                                ......

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