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| Certification Vendor: | Confluent |
|---|---|
| Exam Name: | Confluent Certified Developer for Apache Kafka Certification Examination |
| Exam Number: | CCDAK |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Exam Price: | $150 USD |
| Passing Score: | Approximately 60% |
| Related Certifications: | Confluent Certified Administrator for Apache Kafka (CCAAK) |
| Exam Format: | Multiple Choice (Single Answer), Multiple Choice (Multiple Answers) |
| Certificate Validity Period: | 3 years |
| Real Exam Qty: | 60 |
| Sample Questions: | Confluent CCDAK Sample Questions |
| Exam Way: | Online proctored exam (Pearson VUE) or in-person testing center |
| Pre Condition: | Recommended: 6+ months of hands-on experience with Apache Kafka and Confluent Platform. Familiarity with distributed systems concepts is strongly recommended. |
| Official Syllabus URL: | https://www.confluent.io/certification/ |
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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.
The CCDAK Certification Exam is an online, proctored exam that consists of multiple-choice questions and hands-on exercises. CCDAK exam is designed to be challenging, but fair, and is intended to test the knowledge and skills of developers who have experience working with Kafka. CCDAK exam is available to anyone who meets the prerequisites, which include experience working with Kafka and a solid understanding of distributed systems and programming concepts. The CCDAK certification exam is an excellent way for developers to demonstrate their expertise in Kafka and differentiate themselves in a competitive job market.
NEW QUESTION # 39
A producer is sending messages with null key to a topic with 6 partitions using the DefaultPartitioner. Where will the messages be stored?
Answer: A
Explanation:
Message with no keys will be stored with round-robin strategy among partitions.
NEW QUESTION # 40
(You create a topic with five partitions.
What can you assume about messages read from that topic by a single consumer group?)
Answer: C
Explanation:
The Apache Kafka documentation explains that Kafka's parallelism model is based on topic partitions and consumer groups. Within a single consumer group, each partition can be assigned to at most one consumer at a time. As a result, the maximum level of parallelism for a consumer group is equal to the number of partitions in the topic.
In this scenario, the topic has five partitions, which means that up to five consumers in the same consumer group can actively consume data in parallel. If more than five consumers are added, the extra consumers will remain idle because there are no additional partitions to assign.
Option B is incorrect because Kafka does not enforce equal message consumption across partitions; message distribution depends on producers and partitioning strategy. Option C is false because partitions may be hosted on different brokers, and consumers fetch data from multiple brokers. Option D is incorrect because a single partition cannot be consumed by multiple consumers within the same group simultaneously.
Therefore, the only valid assumption is that a maximum of five consumers can actively consume messages in the same consumer group.
NEW QUESTION # 41
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 # 42
You need to configure a sink connector to write records that fail into a dead letter queue topic. Requirements:
Topic name: DLQ-Topic
Headers containing error context must be added to the messagesWhich three configuration parameters are necessary?(Select three.)
Answer: B,C,F
Explanation:
To send failed records to a dead letter queue (DLQ), you must configure:
errors.tolerance=all: Tells the connector to not fail on errors but handle them (e.g., send to DLQ).
errors.deadletterqueue.topic.name=DLQ-Topic: Specifies the DLQ topic.
errors.deadletterqueue.context.headers.enable=true: Includes error context in message headers.
From Kafka Connect Error Handling Docs:
"Kafka Connect supports directing problematic records to a separate topic (DLQ) using errors.* configs.
Headers can include failure metadata."
Options D, E, F are related to logging, not DLQ behavior.
Reference: Kafka Connect Configurations > Error Handling
NEW QUESTION # 43
A producer just sent a message to the leader broker for a topic partition. The producer used acks=1 and therefore the data has not yet been replicated to followers. Under which conditions will the consumer see the message?
Answer: B
Explanation:
The high watermark is an advanced Kafka concept, and is advanced once all the ISR replicates the latest offsets. A consumer can only read up to the value of the High Watermark (which can be less than the highest offset, in the case of acks=1)
NEW QUESTION # 44
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