CCDAK Latest Study Questions & CCDAK New Question

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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Kafka Streams and Processing- Kafka Streams API
  • 1. Stream processing fundamentals
    • 2. Stateful vs stateless processing
      - Event processing patterns
      • 1. Windowing and aggregation
        • 2. Exactly-once semantics
          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
                  Kafka Fundamentals- Data flow in Kafka
                  • 1. Offset management
                    • 2. Producer and consumer model
                      - Kafka architecture and core concepts
                      • 1. Replication and fault tolerance
                        • 2. Brokers, topics, partitions
                          Kafka Ecosystem and Confluent Platform- Schema Registry
                          • 1. Avro, Protobuf, JSON Schema usage
                            - ksqlDB and connectors
                            • 1. Stream querying concepts
                              • 2. Kafka Connect basics

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                                CCDAK New Question, Valid CCDAK Test Preparation

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q91-Q96):

                                NEW QUESTION # 91
                                You are working on an Orders microservice Thai is publishing messages lo an Orders topic. II is a business requirement that the Orders for a given customer are processed sequentially. Also, the Orders topic is partitioned tor scalability.
                                Which factors would you need to address during application development?

                                Answer: B


                                NEW QUESTION # 92
                                What is encoding and decoding of a message also known as?

                                Answer: A


                                NEW QUESTION # 93
                                You are managing the schema of data in a Kafka Topic using Schema Registry. You need to add new fields to the message schema. You need to select a compatibility type that allows you to add required fields, delete optional fields, and allows consumers to read all previous versions of the schema.
                                Which compatibility type is correct?

                                Answer: A


                                NEW QUESTION # 94
                                What is ISR in Apache Kafka?

                                Answer: B


                                NEW QUESTION # 95
                                A consumer application needs to use an "at most once" delivery semantic.
                                What is the best consumer configuration lo avoid duplicate messages being read?

                                Answer: D


                                NEW QUESTION # 96
                                ......

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