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Confluent CCDAK Exam Syllabus Topics:

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

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q88-Q93):

                                NEW QUESTION # 88
                                Suppose you have 6 brokers and you decide to create a topic with 10 partitions and a replication factor of 3.
                                The brokers 0 and 1 are on rack A, the brokers 2 and 3 are on rack B, and the brokers 4 and 5 are on rack C.
                                If the leader for partition 0 is on broker 4, and the first replica is on broker 2, which broker can host the last replica? (select two)

                                Answer: A,E

                                Explanation:
                                When you create a new topic, partitions replicas are spreads across racks to maintain availability. Hence, the Rack A, which currently does not hold the topic partition, will be selected for the last replica


                                NEW QUESTION # 89
                                In Kafka Streams, by what value are internal topics prefixed by?

                                Answer: B

                                Explanation:
                                In Kafka Streams, the application.id is also the underlying group.id for your consumers, and the prefix for all internal topics (repartition and state)


                                NEW QUESTION # 90
                                A stream processing application is consuming from a topic with five partitions. You run three instances of the application. Each instance has num.stream.threads=5.
                                You need to identify the number of stream tasks that will be created and how many will actively consume messages from the input topic.

                                Answer: C

                                Explanation:
                                In Kafka Streams,the number of stream tasks = number of input partitions × num.stream.threads × number of instances,but only as many as the number of partitions can actively consume at once.
                                However, in this case,Kafka Streams assigns one task per partition, and because there are 5 partitions and
                                15 threads (3 instances × 5 threads),15 tasks are created, andall 15 can be activedepending on processing topology.
                                FromKafka Streams Developer Guide:
                                "Kafka Streams creates one task per input partition. If you increase the number of stream threads, it runs multiple tasks in parallel within a single instance." So,15 stream tasks will be created and 15 will be actively consuming.
                                Reference:Apache Kafka Streams Documentation > Concepts > Tasks and Threads


                                NEW QUESTION # 91
                                A stream processing application is consuming from a topic that has five partitions. You run three instances of your application, each with num.streams.threads set to five.
                                You need to identify the amount of total stream tasks that will be created and the amount that will be actively consuming messages from the input topic.
                                Which option is correct?

                                Answer: C


                                NEW QUESTION # 92
                                To import data from external databases, I should use

                                Answer: B

                                Explanation:
                                Kafka Connect Sink is used to export data from Kafka to external databases and Kafka Connect Source is used to import from external databases into Kafka.


                                NEW QUESTION # 93
                                ......

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