CCDAK Practice Exam, CCDAK Practice Exam Pdf

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Confluent CCDAK Exam Overview:

Certification Vendor:	Confluent
Exam Name:	Confluent Certified Developer for Apache Kafka Certification Examination
Exam Number:	CCDAK
Certificate Validity Period:	3 years
Passing Score:	Approximately 60%
Exam Duration:	90 minutes
Available Languages:	English
Related Certifications:	Confluent Certified Administrator for Apache Kafka (CCAAK)
Real Exam Qty:	60
Exam Format:	Multiple Choice (Multiple Answers), Multiple Choice (Single Answer)
Exam Price:	$150 USD
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/

>> CCDAK Practice Exam <<

Free PDF Quiz 2026 Confluent CCDAK: Newest Confluent Certified Developer for Apache Kafka Certification Examination Practice Exam

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Confluent CCDAK is a certification exam designed for individuals who want to demonstrate their expertise in Apache Kafka and related technologies. Confluent Certified Developer for Apache Kafka Certification Examination certification is offered by Confluent, the company that created Kafka, and is recognized globally as a standard for Kafka developers. Confluent CCDAK certification exam is a comprehensive examination that tests the knowledge and skills of developers in Kafka.

Confluent, the company behind Apache Kafka, offers the CCDAK Certification to developers who have demonstrated their proficiency in developing and managing Kafka-based applications. The CCDAK certification is a validation of the developer's expertise in building scalable and resilient Kafka-based applications. Confluent Certified Developer for Apache Kafka Certification Examination certification exam covers topics such as Kafka architecture, message processing, partitioning, replication, security, and monitoring.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q70-Q75):

NEW QUESTION # 70
A consumer is configured with enable.auto.commit=false. What happens when close() is called on the consumer object?

A. A rebalance in the consumer group will happen immediately
B. The group coordinator will discover that the consumer stopped sending heartbeats. It will cause rebalance after session.timeout.ms
C. The uncommitted offsets are committed

Answer: A

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

NEW QUESTION # 71
Which is true about topic compaction?

A. Topic compaction does not remove old events; instead, when clients consume events from a compacted topic, they store events in a hashmap that maintains the latest value.
B. When a client produces a new event with an existing key, the old value is overwritten with the new value in the compacted log segment.
C. Compaction will keep exactly one message per key after compaction of inactive log segments.
D. When a client produces a new event with an existing key, the broker immediately deletes the offset of the existing event.

Answer: C

Explanation:
Log compactionensures that Kafka retains at least thelatest value per keyin a topic. Compaction happensin the backgroundand removes older records with the same keyin inactive log segments, not immediately.
From theKafka Documentation > Log Compaction:
"Kafka guarantees that thelast message for each keywill be retained in the log after compaction, even if earlier messages with the same key are deleted." So, D is correct. A is incorrect because compaction does not overwrite; it's a background process. B is incorrect-deletion is not immediate. C incorrectly suggests client-side hashmap behavior.
Reference:Apache Kafka Log Compaction Docs

NEW QUESTION # 72
If you enable an SSL endpoint in Kafka, what feature of Kafka will be lost?

A. Support for Avro format
B. Cross-cluster mirroring
C. Zero copy
D. Exactly-once delivery

Answer: C

Explanation:
With SSL, messages will need to be encrypted and decrypted, by being first loaded into the JVM, so you lose the zero copy optimization. See more information herehttps://twitter.com/ijuma/status/1161303431501324293?s=09

NEW QUESTION # 73
You are working on a Kafka cluster with three nodes. You create a topic named orders with:
* replication.factor = 3
* min.insync.replicas = 2
* acks = allWhat exception will be generated if two brokers are down due to network delay?

A. NotEnoughReplicasException
B. NotLeaderForPartitionException
C. NetworkException
D. NotCoordinatorException

Answer: A

Explanation:
With acks=all and min.insync.replicas=2, Kafka requiresat least two in-sync replicasto acknowledge a write.
If onlyone broker is alive, the condition fails, andNotEnoughReplicasExceptionis thrown by the producer.
FromKafka Producer Exception Docs:
"NotEnoughReplicasException is thrown when the number of in-sync replicas is insufficient to satisfy acks=all with min.insync.replicas."
* NetworkException is generic and not raised here.
* NotCoordinatorException is related to consumer group coordination.
* NotLeaderForPartitionException is unrelated unless accessing an unassigned leader.
Reference:Kafka Producer Error Handling

NEW QUESTION # 74
A producer is configured with the default partitioner. It is sending records to a topic that is configured with five partitions. The record does not contain any key.
What is the result of this?

A. Records will be dispatched among the available partitions.
B. An error will be raised and no record will be sent.
C. Records will be sent to the least used partition.
D. Records will be sent to partition 0.

Answer: A

Explanation:
If a key isnot specified, thedefault Kafka partitioner uses round-robinlogic to assign partitions. This leads toeven distributionof messages across all partitions.
FromKafka Producer Design:
"If the key is null, the producer will assign the partition in a round-robin fashion to achieve load balancing." There isno error, and partition 0 isnot alwayschosen in this case.
Reference:Kafka Producer Partitioner Behavior - Official Docs

NEW QUESTION # 75
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