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| Certification Vendor: | Confluent |
|---|---|
| Exam Name: | Confluent Certified Developer for Apache Kafka Certification Examination |
| Exam Number: | CCDAK |
| Exam Price: | $150 USD |
| Exam Format: | Multiple-choice, Matching, List order |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Confluent Certified Administrator for Apache Kafka (CCAAK) Confluent Cloud Certified Operator (CCAC) |
| Passing Score: | Pass / Fail |
| Recommended Training: | Confluent Documentation Confluent Developer Training for Apache Kafka |
| 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/ |
>> Confluent CCDAK Best Preparation Materials <<
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By becoming certified, developers can demonstrate their proficiency in Apache Kafka and differentiate themselves from their peers. Confluent Certified Developer for Apache Kafka Certification Examination certification showcases the candidate's knowledge and validates their ability to design and develop high-quality streaming applications using Kafka. Furthermore, it helps organizations to identify individuals with the necessary skills and expertise to design and build data streaming applications, which is essential for addressing business problems in real-time.
The CCDAK certification is an important credential for developers who want to demonstrate their expertise in working with Kafka. Confluent Certified Developer for Apache Kafka Certification Examination certification is offered by Confluent, which is the company that created Kafka. Confluent is a leading provider of data streaming platforms, and the CCDAK Certification is recognized as a valuable credential by many organizations in the industry. Confluent Certified Developer for Apache Kafka Certification Examination certification is designed to be accessible to developers of all levels of experience, from beginners to experts.
NEW QUESTION # 14
You need to explain the best reason to implement the consumer callback interface ConsumerRebalanceListener prior to a Consumer Group Rebalance.
Which statement is correct?
Answer: D
Explanation:
The ConsumerRebalanceListener lets youhandle partition assignments and revocationsduring rebalances.
This is critical for managingoffsets,stateful processing, orexternal transactions.
FromKafka Consumer Rebalance Docs:
"Implementing ConsumerRebalanceListener allows your application to take action before and after partitions are reassigned."
* A is true: It lets your app react when partitionsassigned to the consumer change.
* B, C, and D are unrelated to consumer rebalancing directly.
Reference:Kafka Consumer JavaDocs > ConsumerRebalanceListener
NEW QUESTION # 15
Refer to the producer code below. It features a 'Callback' class with a method called 'onCompletion()'. When will the 'onCompletion()' method be Invoked?
producer.send(record, new MyCallback(record));
Answer: C
NEW QUESTION # 16
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: B
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 # 17
Which two statements are correct when assigning partitions to the consumers in a consumer group using the assign() API?
(Select two.)
Answer: A,B
Explanation:
Using assign() gives manual control over partition assignment. In this mode:
B is true: The application chooses partitions directly without involving the group coordinator.
C is true: Since no group coordination occurs, no rebalancing happens if a consumer dies.
From Kafka Consumer API Docs:
"assign() manually assigns a list of partitions to this consumer. No coordination takes place and no rebalancing is triggered." A is false: subscribe() and assign() are mutually exclusive.
D is incorrect: Partitions don't need to be equal across topics.
Reference: Kafka Consumer Java API > assign() and subscribe()
NEW QUESTION # 18
By default, which replica will be elected as a partition leader? (select two)
Answer: B,D
Explanation:
Preferred leader is a broker that was leader when topic was created. It is preferred because when partitions are first created, the leaders are balanced between brokers. Otherwise, any of the in-sync replicas (ISR) will be elected leader, as long as unclean.leader.election=false (by default)
NEW QUESTION # 19
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