CCDAK Exam Exercise & Vce CCDAK File

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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 Producers and Consumers- Consumer API
          • 1. Consumer groups
            • 2. Rebalancing and offset commits
              - Producer API
              • 1. Reliability and acknowledgments
                • 2. Serialization and partitioning strategies
                  Kafka Ecosystem and Confluent Platform- ksqlDB and connectors
                  • 1. Kafka Connect basics
                    • 2. Stream querying concepts
                      - Schema Registry
                      • 1. Avro, Protobuf, JSON Schema usage
                        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

                                >> CCDAK Exam Exercise <<

                                Vce CCDAK File, CCDAK Latest Test Format

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q13-Q18):

                                NEW QUESTION # 13
                                You need to collect logs from a host and write them to a Kafka topic named 'logs-topic'. You decide to use Kafka Connect File Source connector for this task.
                                What is the preferred deployment mode for this connector?

                                Answer: C

                                Explanation:
                                Kafka Connect can run in standalone mode or distributed mode. For simple tasks like reading logs from a file on a single host, standalone mode is recommended.
                                From Kafka Connect User Guide:
                                "Standalone mode is useful when running connectors on a single machine (e.g., for development or simple deployments like log collection from a local file)." Distributed mode is preferred for scalability and fault tolerance but overkill for this use case.
                                Reference: Kafka Connect User Guide > Deployment Modes


                                NEW QUESTION # 14
                                A producer is configured with the default partitioner. It is sending records to a topic that is configured with five partitions. The record does not contain any key.
                                What is the result of this?

                                Answer: D

                                Explanation:
                                If a key isnot specified, thedefault Kafka partitioner uses round-robinlogic to assign partitions. This leads toeven distributionof messages across all partitions.
                                FromKafka Producer Design:
                                "If the key is null, the producer will assign the partition in a round-robin fashion to achieve load balancing." There isno error, and partition 0 isnot alwayschosen in this case.
                                Reference:Kafka Producer Partitioner Behavior - Official Docs


                                NEW QUESTION # 15
                                We have a store selling shoes. What dataset is a great candidate to be modeled as a KTable in Kafka Streams?

                                Answer: C,D

                                Explanation:
                                Aggregations of stream are stored in table, whereas Streams must be modeled as a KStream to avoid data explosion


                                NEW QUESTION # 16
                                You are sending messages to a Kafka cluster in JSON format and want to add more information related to each message:
                                Format of the message payload
                                Message creation time
                                A globally unique identifier that allows the message to be traced through the systemWhere should this additional information be set?

                                Answer: C

                                Explanation:
                                Kafka message headers are the right place to include metadata such as:
                                Payload format (e.g., schema version)
                                Timestamps (custom)
                                Trace or correlation IDs
                                From Kafka Producer API Docs:
                                "Headers are a map of key-value pairs that can be used to include metadata alongside the message, without modifying the message body." Keys determine partitioning and ordering Values are the message payload Brokers do not store arbitrary metadata fields Reference: Kafka ProducerRecord API > Headers


                                NEW QUESTION # 17
                                A Zookeeper configuration has tickTime of 2000, initLimit of 20 and syncLimit of 5. What's the timeout value for followers to connect to Zookeeper?

                                Answer: C

                                Explanation:
                                tick time is 2000 ms, and initLimit is the config taken into account when establishing a connection to Zookeeper, so the answer is 2000 * 20 = 40000 ms = 40s


                                NEW QUESTION # 18
                                ......

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