Authentic Confluent CCDAK Exam Questions & Answers

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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 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
                  Topic 3: Kafka Ecosystem and Confluent Platform- ksqlDB and connectors
                  • 1. Kafka Connect basics
                    • 2. Stream querying concepts
                      - Schema Registry
                      • 1. Avro, Protobuf, JSON Schema usage
                        Topic 4: Kafka Fundamentals- Data flow in Kafka
                        • 1. Producer and consumer model
                          • 2. Offset management
                            - 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 (Q83-Q88):

                                NEW QUESTION # 83
                                There are 3 producers writing to a topic with 5 partitions. There are 5 consumers consuming from the topic. How many Controllers will be present in the cluster?

                                Answer: D

                                Explanation:
                                There is only one controller in a cluster at all times.


                                NEW QUESTION # 84
                                Which configuration allows more time for the consumer poll to process records?

                                Answer: B

                                Explanation:
                                max.poll.interval.ms defines the maximum delay between invocations of poll() before the consumer is considered failed. It essentially gives consumers more time to process records before needing to poll again.
                                From Kafka Consumer Configuration Reference:
                                "max.poll.interval.ms: The maximum delay between invocations of poll() when using consumer group management. If poll() is not called before expiration, the consumer is considered failed." session.timeout.ms and heartbeat.interval.ms relate to group coordination and heartbeats.
                                fetch.max.wait.ms affects how long the broker waits to accumulate data before sending a fetch response.
                                Reference: Apache Kafka Consumer Configs


                                NEW QUESTION # 85
                                Kafka is configured with following parameters - log.retention.hours = 168 log.retention.minutes = 168 log.
                                retention.ms = 168 How long will the messages be retained for?

                                Answer: B

                                Explanation:
                                If more than one similar config is specified, the smaller unit size will take precedence.


                                NEW QUESTION # 86
                                A Kafka producer application wants to send log messages to a topic that does not include any key. What are the properties that are mandatory to configure for the producer configuration? (select three)

                                Answer: A,B,D

                                Explanation:
                                Both key and value serializer are mandatory.


                                NEW QUESTION # 87
                                Which of the following statements are true regarding the number of partitions of a topic?

                                Answer: E

                                Explanation:
                                We can only add partitions to an existing topic, and it must be done using the kafka-topics.sh command


                                NEW QUESTION # 88
                                ......

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