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| Certification Vendor: | Confluent |
|---|---|
| Exam Name: | Confluent Certified Developer for Apache Kafka Certification Examination |
| Exam Number: | CCDAK |
| Exam Price: | $150 USD |
| Available Languages: | English |
| Exam Format: | Matching, List order, Multiple-choice |
| Passing Score: | Pass / Fail |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Related Certifications: | Confluent Certified Administrator for Apache Kafka (CCAAK) Confluent Cloud Certified Operator (CCAC) |
| Recommended Training: | Confluent Developer Training for Apache Kafka Confluent Documentation |
| Exam Registration: | Confluent Certification Portal |
| Sample Questions: | Confluent CCDAK Sample Questions |
| Exam Way: | Remote proctored online exam; requires webcam, microphone, Google Chrome browser |
| Pre Condition: | No mandatory prerequisites; recommended experience: 6+ months developing applications with Apache Kafka |
| Official Syllabus URL: | https://www.confluent.io/certification/ |
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The CCDAK certification is a valuable asset for developers who want to advance their careers in the field of big data and data engineering. Confluent Certified Developer for Apache Kafka Certification Examination certification demonstrates a developer's proficiency in Apache Kafka and makes them stand out in the job market. Companies that use Apache Kafka value the CCDAK certification as it indicates that the developer has the skills and knowledge necessary to build and manage Kafka-based applications.
The CCDAK exam covers a wide range of topics, including Kafka architecture, data modeling, stream processing, and security. CCDAK examination comprises multiple-choice questions and hands-on exercises that require the candidate to demonstrate their practical knowledge of Kafka. Successful completion of the CCDAK exam certifies that the individual has the expertise to design, build, and maintain Kafka-based solutions, making them a valuable asset to any organization that uses Kafka for data processing and messaging.
NEW QUESTION # 77
Which actions will trigger partition rebalance for a consumer group? (select three)
Answer: A,B,E
Explanation:
Rebalance occurs when a new consumer is added, removed or consumer dies or paritions increased.
NEW QUESTION # 78
How will you read all the messages from a topic in your KSQL query?
Answer: C
Explanation:
Consumers can set auto.offset.reset property to earliest to start consuming from beginning. For KSQL, SET 'auto.offset.reset'='earliest';
NEW QUESTION # 79
You are developing a Java application using a Kafka consumer.
You need to integrate Kafka's client logs with your own application's logs using log4j2.
Which Java library dependency must you include in your project?
Answer: C
Explanation:
Kafka clients useSLF4Jas a logging facade. To redirect Kafka logs tolog4j2, you must include theSLF4J binding for log4j2in your classpath:
"org.apache.logging.log4j:log4j-slf4j-impl bridges SLF4J to Log4j2 so that Kafka's logs integrate into your application's Log4j2 configuration."
* Option A is forLog4j 1.x, which is outdated.
* Option C is incorrect; Kafka clients don't include logging bindings.
* Option D is insufficient without the SLF4J bridge.
Reference:Kafka Logging Integration Practices
NEW QUESTION # 80
You want to send a message of size 3 MB to a topic with default message size configuration. How does KafkaProducer handle large messages?
Answer: C
Explanation:
MessageSizeTooLarge is not a retryable exception.
NEW QUESTION # 81
(Which configuration is valid for deploying a JDBC Source Connector to read all rows from the orders table and write them to the dbl-orders topic?)
Answer: C
Explanation:
According to the official Apache Kafka Connect and Confluent JDBC Source Connector documentation, the correct connector class for a JDBC source connector is io.confluent.connect.jdbc.JdbcSourceConnector. This connector is used to read data from relational databases and publish each table as a Kafka topic.
To read all rows from a specific table, the configuration must include table.whitelist (or table.include.list in newer versions) with the table name, and a topic.prefix to determine the Kafka topic name. In this case, using topic.prefix=dbl- with table.whitelist=orders results in records being written to the dbl-orders topic, which matches the requirement.
Options A, B, and C are invalid because they reference a non-existent connector class (DdbcSourceConnector), contain unsupported properties such as topic.whitelist for a source connector, or include malformed/incorrect JDBC parameters. Additionally, blacklisting tables does not ensure that only the orders table is read.
Therefore, option D is the only configuration that is syntactically correct, uses the proper connector class, and aligns with the official Kafka Connect JDBC Source Connector documentation.
NEW QUESTION # 82
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