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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Topic 1: Kafka Fundamentals- Data flow in Kafka
  • 1. Producer and consumer model
    • 2. Offset management
      - Kafka architecture and core concepts
      • 1. Replication and fault tolerance
        • 2. Brokers, topics, partitions
          Topic 2: Kafka Producers and Consumers- Consumer API
          • 1. Rebalancing and offset commits
            • 2. Consumer groups
              - Producer API
              • 1. Reliability and acknowledgments
                • 2. Serialization and partitioning strategies
                  Topic 3: 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 4: Kafka Ecosystem and Confluent Platform- Schema Registry
                          • 1. Avro, Protobuf, JSON Schema usage
                            - ksqlDB and connectors
                            • 1. Kafka Connect basics
                              • 2. Stream querying concepts

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q21-Q26):

                                NEW QUESTION # 21
                                Your streams application is reading from an input topic that has 5 partitions. You run 5 instances of your application, each with num.streams.threads set to 5. How many stream tasks will be created and how many will be active?

                                Answer: B

                                Explanation:
                                One partition is assigned a thread, so only 5 will be active, and 25 threads (i.e. tasks) will be created


                                NEW QUESTION # 22
                                How will you find out all the partitions where one or more of the replicas for the partition are not in-sync with the leader?

                                Answer: B


                                NEW QUESTION # 23
                                What will happen if a producer tries to send messages to a topic that does not exist in the Kafka cluster?

                                Answer: A


                                NEW QUESTION # 24
                                Which of the following event processing application is stateless? (select two)

                                Answer: A,D

                                Explanation:
                                Stateless means processing of each message depends only on the message, so converting from JSON to Avro or filtering a stream are both stateless operations


                                NEW QUESTION # 25
                                A topic "sales" is being produced to in the Americas region. You are mirroring this topic using Mirror Maker to the European region. From there, you are only reading the topic for analytics purposes. What kind of mirroring is this?

                                Answer: A

                                Explanation:
                                This is active-passing as the replicated topic is used for read-only purposes only


                                NEW QUESTION # 26
                                ......

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