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The CCDAK exam covers a range of topics related to Kafka, including Kafka architecture, configuration, and management, message producers and consumers, stream processing with Kafka Streams, and Kafka Connect. CCDAK Exam is designed to test your ability to configure, develop, and manage Kafka clusters, as well as your knowledge of Kafka best practices.

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The CCDAK certification exam is a comprehensive test that covers a wide range of topics related to Kafka, including its architecture, fundamental concepts, and practical implementation techniques. CCDAK Exam is designed to assess the candidate’s ability to create robust and scalable Kafka applications that can handle large volumes of data in real-time. It also evaluates the candidate’s knowledge of Kafka Connect, Kafka Streams, Schema Registry, and other related technologies.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q63-Q68):

NEW QUESTION # 63
You have a topic with four partitions. The application reads from it using two consumers in a single consumer group.
Processing is CPU-bound, and lag is increasing.
What should you do?

Answer: C

Explanation:
If the application is CPU-bound and lagging, adding more consumers to the group will allow better parallel processing, especially since the topic has 4 partitions, allowing up to 4 active consumers.
From Kafka Consumer Group Docs:
"Kafka achieves parallelism by distributing partitions across consumers in a group. Adding consumers helps reduce lag if partitions are underutilized." B may help but requires repartitioning and coordination.
C or D affects how much data is polled, not how fast it's processed.
Reference: Kafka Consumer Concepts > Parallelism and Scaling


NEW QUESTION # 64
There are 3 producers writing to a topic with 5 partitions. There are 10 consumers consuming from the topic as part of the same group. How many consumers will remain idle?

Answer: B

Explanation:
One consumer per partition assignment will keep 5 consumers idle.


NEW QUESTION # 65
You are writing to a topic with acks=all.
The producer receives acknowledgments but you notice duplicate messages.
You find that timeouts due to network delay are causing resends.
Which configuration should you use to prevent duplicates?

Answer: B

Explanation:
To ensure exactly-once delivery and avoid duplicates even during retries:
enable.idempotence=true ensures deduplication on the broker
retries=2147483647 allows unlimited retries on retriable errors
max.in.flight.requests.per.connection=5 is the maximum value that preserves message order with idempotence From Kafka Producer Config Docs:
"To achieve exactly-once semantics, set enable.idempotence=true, and max.in.flight.requests.per.connection #
5."
A is unrelated (consumer-side)
C disables retries
D disables idempotence, leading to duplicates
Reference: Kafka Producer Configs > enable.idempotence, retries


NEW QUESTION # 66
Compaction is enabled for a topic in Kafka by setting log.cleanup.policy=compact. What is true about log compaction?

Answer: A

Explanation:
Log compaction retains at least the last known value for each record key for a single topic partition. All compacted log offsets remain valid, even if record at offset has been compacted away as a consumer will get the next highest offset.


NEW QUESTION # 67
The rule "same key goes to the same partition" is true unless...

Answer: B

Explanation:
Increasing the number of partition causes new messages keys to get hashed differently, and breaks the guarantee "same keys goes to the same partition". Kafka logs are immutable and the previous messages are not re-shuffled.


NEW QUESTION # 68
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