Test CCDAK Practice | Pdf CCDAK Version

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Confluent CCDAK Exam Syllabus Topics:

SectionObjectives
Topic 1: Kafka Fundamentals- Data flow in Kafka
  • 1. Offset management
    • 2. Producer and consumer model
      - Kafka architecture and core concepts
      • 1. Brokers, topics, partitions
        • 2. Replication and fault tolerance
          Topic 2: Kafka Streams and Processing- Kafka Streams API
          • 1. Stream processing fundamentals
            • 2. Stateful vs stateless processing
              - Event processing patterns
              • 1. Exactly-once semantics
                • 2. Windowing and aggregation
                  Topic 3: 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 4: Kafka Ecosystem and Confluent Platform- ksqlDB and connectors
                          • 1. Kafka Connect basics
                            • 2. Stream querying concepts
                              - Schema Registry
                              • 1. Avro, Protobuf, JSON Schema usage

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                                Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q62-Q67):

                                NEW QUESTION # 62
                                Which KSQL queries write to Kafka?

                                Answer: A,C

                                Explanation:
                                SHOW STREAMS and EXPLAIN <query> statements run against the KSQL server that the KSQL client is connected to. They don't communicate directly with Kafka. CREATE STREAM WITH <topic> and CREATE TABLE WITH <topic> write metadata to the KSQL command topic. Persistent queries based on CREATE STREAM AS SELECT and CREATE TABLE AS SELECT read and write to Kafka topics.
                                Non-persistent queries based on SELECT that are stateless only read from Kafka topics, for example:
                                SELECT A FROM foo WHERE A;
                                Non-persistent queries that are stateful read and write to Kafka, for example, COUNT and JOIN. The data in Kafka is deleted automatically when you terminate the query with CTRL-C.


                                NEW QUESTION # 63
                                What exceptions may be caught by the following producer? (select two)
                                ProducerRecord<String, String> record =
                                new ProducerRecord<>("topic1", "key1", "value1");
                                try {
                                producer.send(record);
                                } catch (Exception e) {
                                e.printStackTrace();
                                }

                                Answer: B,C

                                Explanation:
                                These are the client side exceptions that may be encountered before message is sent to the broker, and before a future is returned by the .send() method.


                                NEW QUESTION # 64
                                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: B

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


                                NEW QUESTION # 65
                                (You are developing a Java application that includes a Kafka consumer.
                                You need to integrate Kafka client logs with your own application logs.
                                Your application is using the Log4j2 logging framework.
                                Which Java library dependency must you include in your project?)

                                Answer: B

                                Explanation:
                                According to the official Apache Kafka client documentation, Kafka uses SLF4J (Simple Logging Facade for Java) for all client-side logging. SLF4J is only an abstraction layer and requires a concrete logging implementation to route log messages to the actual logging framework used by the application.
                                Since the application uses Log4j2, an SLF4J-to-Log4j2 binding must be provided. The correct and officially recommended dependency is org.apache.logging.log4j:log4j-slf4j-impl. This dependency acts as the SLF4J implementation and forwards all Kafka client log messages to Log4j2, ensuring consistent logging across the application.
                                Option B is incorrect because it targets the legacy Log4j 1.2 framework, which is deprecated and incompatible with Log4j2. Option C is insufficient because Log4j2 alone does not satisfy Kafka's SLF4J dependency. Option D is incorrect because Kafka intentionally does not include a logging implementation transitively, allowing applications to choose their preferred logging framework.
                                Therefore, including the SLF4J implementation for Log4j2 is required to properly integrate Kafka client logs.


                                NEW QUESTION # 66
                                What is a generic unique id that I can use for messages I receive from a consumer?

                                Answer: A

                                Explanation:
                                (Topic,Partition,Offset) uniquely identifies a message in Kafka


                                NEW QUESTION # 67
                                ......

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