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CCDAK Certification Materials - New CCDAK Exam Vce

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q13-Q18):

NEW QUESTION # 13
Which configuration determines how many bytes of data are collected before sending messages to the Kafka broker?

A. batch.size
B. buffer.memory
C. max.block.size
D. send.buffer.bytes

Answer: A

Explanation:
The batch.size config sets the maximum number of bytes to batch per partition before sending. This allows Kafka producers to amortize I/O and improve throughput.
From Kafka Producer Configuration Docs:
"batch.size is the maximum amount of data per partition the producer will batch before sending." buffer.memory sets total memory for the producer, not per-batch.
send.buffer.bytes is a TCP socket buffer, not a Kafka config.
max.block.ms controls blocking time, not size.
Reference: Kafka Producer Configs > batch.size

NEW QUESTION # 14
Which of the following statements are true regarding the number of partitions of a topic?

A. We can remove partitions in a topic by removing a broker
B. We can add partitions in a topic using the kafka-topics.sh command
C. The number of partitions in a topic cannot be altered
D. We can remove partitions in a topic using the kafka-topics.sh command
E. We can add partitions in a topic by adding a broker to the cluster

Answer: B

Explanation:
We can only add partitions to an existing topic, and it must be done using the kafka-topics.sh command

NEW QUESTION # 15
A bank uses a Kafka cluster for credit card payments. What should be the value of the property unclean.leader.election.enable?

A. TRUE
B. FALSE

Answer: B

Explanation:
Setting unclean.leader.election.enable to true means we allow out-of-sync replicas to become leaders, we will lose messages when this occurs, effectively losing credit card payments and making our customers very angry.

NEW QUESTION # 16
(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?)

A. Enable compaction on the output topic to handle duplicates.
B. Set processing.guarantee=exactly_once_v2 in the Kafka Streams configuration.
C. Set enable.idempotence=true in the internal producer configuration of the Kafka Streams application.
D. Set enable.exactly_once=true in the Kafka Streams configuration.

Answer: B

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 # 17
There are five brokers in a cluster, a topic with 10 partitions and replication factor of 3, and a quota of producer_bytes_rate of 1 MB/sec has been specified for the client. What is the maximum throughput allowed for the client?

A. 1 MB/s
B. 10 MB/s
C. 5 MB/s
D. 0.33 MB/s

Answer: C

Explanation:
Each producer is allowed to produce @ 1MB/s to a broker. Max throughput 5 * 1MB, because we have 5 brokers.

NEW QUESTION # 18
......

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