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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Topic 1: Kafka Ecosystem and Confluent Platform- Schema Registry
  • 1. Avro, Protobuf, JSON Schema usage
    - ksqlDB and connectors
    • 1. Kafka Connect basics
      • 2. Stream querying concepts
        Topic 2: Kafka Fundamentals- Kafka architecture and core concepts
        • 1. Replication and fault tolerance
          • 2. Brokers, topics, partitions
            - Data flow in Kafka
            • 1. Producer and consumer model
              • 2. Offset management
                Topic 3: 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 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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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q37-Q42):

                                NEW QUESTION # 37
                                You want to perform table lookups against a KTable everytime a new record is received from the KStream. What is the output of KStream-KTable join?

                                Answer: A

                                Explanation:
                                Here KStream is being processed to create another KStream.


                                NEW QUESTION # 38
                                In Avro, removing or adding a field that has a default is a __ schema evolution

                                Answer: D

                                Explanation:
                                Clients with new schema will be able to read records saved with old schema and clients with old schema will be able to read records saved with new schema.


                                NEW QUESTION # 39
                                In stream processing applications, handling out-of-order data can be a challenge which could affect the implemented business logic.
                                Which type of Join handles out-of-order records?

                                Answer: D


                                NEW QUESTION # 40
                                In Kafka, every broker... (select three)

                                Answer: B,E,F

                                Explanation:
                                Kafka topics are divided into partitions and spread across brokers. Each brokers knows about all the metadata and each broker is a bootstrap broker, but only one of them is elected controller


                                NEW QUESTION # 41
                                When using plain JSON data with Connect, you see the following error messageorg.apache.kafka.connect.
                                errors.DataExceptionJsonDeserializer with schemas.enable requires "schema" and "payload" fields and may not contain additional fields. How will you fix the error?

                                Answer: D

                                Explanation:
                                You will need to set the schemas.enable parameters for the converter to false for plain text with no schema.


                                NEW QUESTION # 42
                                ......

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