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| Certification Vendor: | Confluent |
|---|---|
| Exam Name: | Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam |
| Exam Number: | CCDAK |
| Real Exam Qty: | 60 |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Exam Format: | Multiple choice, Multiple select |
| Exam Price: | $150 USD |
| Passing Score: | 70% |
| Related Certifications: | Confluent Certified Administrator for Apache Kafka (CCAK) Confluent Certified Developer for Apache Kafka (CCDAK) |
| Certificate Validity Period: | 3 years |
| Recommended Training: | Apache Kafka Developer Training (Confluent) Kafka Fundamentals Course |
| Exam Registration: | Confluent Training and Exams Confluent Certification Portal |
| Sample Questions: | Confluent CCDAK Sample Questions |
| Exam Way: | Online proctored exam or authorized testing center |
| Pre Condition: | Basic understanding of Java or another JVM language and familiarity with distributed systems concepts is recommended. |
| Official Syllabus URL: | https://www.confluent.io/certification/ |
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The CCDAK certification exam is a hands-on exam that tests the candidate's ability to apply their technical knowledge to real-world scenarios. CCDAK exam covers topics such as Kafka installation and configuration, producer and consumer development, stream processing, and Kafka security. Candidates must demonstrate their ability to design, develop, and deploy Kafka-based solutions in a distributed environment. The CCDAK Certification is an excellent way for developers to demonstrate their expertise in Apache Kafka and advance their career in Kafka-based application development.
NEW QUESTION # 65
A Kafka cluster has four brokers with a topic t1 with eight partitions. A client application has just one broker specified in the bootstrap URL.
Brokers:
b1.host.domain.com
b2.host.domain.com
b3.host.domain.com
b4.host.domain.com
Bootstrap URL:
b2.host.domain.com
What would be the impact of such configuration?
Answer: B
NEW QUESTION # 66
(You deploy a Kafka Streams application with five application instances.
Kafka Streams stores application metadata using internal topics.
Auto-topic creation is disabled in the Kafka cluster.
Which statement about this scenario is true?)
Answer: C
Explanation:
According to the official Apache Kafka Streams documentation, Kafka Streams relies on internal topics (such as changelog topics and repartition topics) to store state, task assignments, and application metadata. These topics are essential for fault tolerance, rebalancing, and state recovery.
When auto-topic creation is disabled, Kafka Streams cannot automatically create the required internal topics unless they already exist. In this situation, the Streams application will fail during startup with a fatal, non- retriable exception, indicating that the necessary internal topics could not be created.
Kafka Streams does not pause or wait for manual topic creation, nor does it operate without storing metadata.
Instead, it explicitly requires these topics to exist or be creatable. While administrators can manually pre- create the required internal topics with the correct configuration, failure to do so causes the application to terminate.
Therefore, the correct and documented behavior is that the Kafka Streams application terminates with a non- retriable exception when auto-topic creation is disabled and required internal topics are missing.
NEW QUESTION # 67
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: D
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 # 68
How often is log compaction evaluated?
Answer: B
Explanation:
Log compaction is evaluated every time a segment is closed. It will be triggered if enough data is "dirty" (see dirty ratio config)
NEW QUESTION # 69
In Kafka, every broker... (select three)
Answer: A,C,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 # 70
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