Confluent CCDAK Demo Test | Fresh CCDAK Dumps

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Confluent, the company that created Kafka, offers training and certification programs for professionals who want to learn and demonstrate their expertise in Kafka. The CCDAK certification exam is one of the many programs offered by Confluent. With the growing popularity of Kafka among enterprises, the CCDAK Certification can help professionals advance their careers in big data and real-time processing.

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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.

Preparing for the CCDAK Exam requires a deep understanding of Apache Kafka architecture, programming languages, and Kafka APIs. Developers can prepare for the exam by taking courses and training programs offered by Confluent, reading Kafka documentation, and practicing with sample applications. Passing the CCDAK exam will validate a developer's proficiency in developing Kafka-based applications and open up new career opportunities in the growing field of real-time data processing.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q60-Q65):

NEW QUESTION # 60
(You are implementing a Kafka Streams application to process financial transactions.
Each transaction must be processed exactly once to ensure accuracy.
The application reads from an input topic, performs computations, and writes results to an output topic.
During testing, you notice duplicate entries in the output topic, which violates the exactly-once processing requirement.
You need to ensure exactly-once semantics (EOS) for this Kafka Streams application.
Which step should you take?)

Answer: A

Explanation:
According to the official Apache Kafka documentation for Kafka Streams, exactly-once semantics (EOS) are controlled using the processing.guarantee configuration. To ensure that each input record is processed once and only once, and that the results are written atomically to the output topic, Kafka Streams provides built-in EOS support.
The correct and recommended configuration is processing.guarantee=exactly_once_v2, which is the default EOS implementation starting from Kafka 3.0. This mode uses Kafka's transactional APIs to atomically commit consumer offsets and produce output records within a single transaction. As documented, this prevents duplicates even in the presence of failures, retries, or application restarts.
Option A is incorrect because log compaction does not guarantee exactly-once processing; it only retains the latest record per key. Option B is insufficient because enable.idempotence alone does not handle consumer offset commits or state store consistency in Kafka Streams. Option C is invalid because no such configuration exists in Kafka Streams.
Therefore, setting processing.guarantee=exactly_once_v2 is the only fully correct and officially supported solution for achieving EOS in Kafka Streams applications.


NEW QUESTION # 61
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 # 62
You have a Kafka cluster and all the topics have a replication factor of 3. One intern at your company stopped a broker, and accidentally deleted all the data of that broker on the disk. What will happen if the broker is restarted?

Answer: A

Explanation:
Kafka replication mechanism makes it resilient to the scenarios where the broker lose data on disk, but can recover from replicating from other brokers. This makes Kafka amazing!


NEW QUESTION # 63
You are building a consumer application that processes events from a Kafka topic. What is the most important metric to monitor to ensure real-time processing?

Answer: B

Explanation:
This metric shows the current lag (number of messages behind the broker)


NEW QUESTION # 64
A Zookeeper ensemble contains 3 servers. Over which ports the members of the ensemble should be able to communicate in default configuration? (select three)

Answer: A,C,E

Explanation:
2181 - client port, 2888 - peer port, 3888 - leader port


NEW QUESTION # 65
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