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Confluent CCDAK Certification demonstrates a developer’s expertise in Apache Kafka and can enhance their career prospects. Confluent Certified Developer for Apache Kafka Certification Examination certification is recognized globally and can help developers stand out from the competition. Certified developers can also join the Confluent Community and access exclusive resources, such as webinars, forums, and meetups. They can also showcase their certification on their professional profile and resume.

The CCDAK certification exam is a valuable credential for developers who want to demonstrate their expertise in Kafka. By passing the exam, developers can show that they have a deep understanding of Kafka and its ecosystem, including its core components and the tools and frameworks used to build Kafka applications. Confluent Certified Developer for Apache Kafka Certification Examination certification also demonstrates the ability to design, develop, and deploy Kafka solutions to meet real-world business requirements.

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q59-Q64):

NEW QUESTION # 59
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 # 60
You have a topic t1 in a Kafka cluster. A producer running on host A can successfully write messages to t1.
Then, you move that producer code to run on host B, but it fails writing messages to t1.
What is a likely reason for that failure?

Answer: C


NEW QUESTION # 61
Which statement is true about how exactly-once semantics (EOS) work in Kafka Streams?

Answer: B

Explanation:
Kafka Streams usestransactional producersto guaranteeexactly-once semantics (EOS). This ensures that both theoutput recordsandstate store updatesare committed atomically, avoiding duplication or partial writes.
FromKafka Streams Documentation > Processing Guarantees:
"Kafka Streams leveragesKafka's transactional APIsto commit the output records and internal state updates as a single atomic unit, thereby providing exactly-once semantics."
* Option A is incorrect because log compaction is not disabled for EOS.
* Option C incorrectly describes a checkpointing system Kafka Streams does not use.
* Option D refers to deduplication, which is not how EOS is achieved in Streams.
Reference:Kafka Streams Processing Guarantees


NEW QUESTION # 62
A consumer is configured with enable.auto.commit=false. What happens when close() is called on the consumer object?

Answer: A

Explanation:
Calling close() on consumer immediately triggers a partition rebalance as the consumer will not be available anymore.


NEW QUESTION # 63
If I want to send binary data through the REST proxy, it needs to be base64 encoded. Which component needs to encode the binary data into base 64?

Answer: A

Explanation:
The REST Proxy requires to receive data over REST that is already base64 encoded, hence it is the responsibility of the producer


NEW QUESTION # 64
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