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Confluent CCDAK Certification Exam is designed to be challenging and covers a variety of topics, including Kafka core concepts, Kafka ecosystem, developing Kafka producers and consumers, Kafka Connect, Kafka Streams, and several other application development and testing topics. Candidates who pass the certification exam will have demonstrated proficiency in working with the Confluent platform to develop and deploy Kafka-based applications, creating and using Avro schemas, and leveraging various Kafka tools and frameworks.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q34-Q39):

NEW QUESTION # 34
If I supply the setting compression.type=snappy to my producer, what will happen? (select two)

Answer: B

Explanation:
Kafka transfers data with zero copy and no transformation. Any transformation (including compression) is the responsibility of clients.


NEW QUESTION # 35
What is the protocol used by Kafka clients to securely connect to the Confluent REST Proxy?

Answer: A

Explanation:
TLS - but it is still called SSL.


NEW QUESTION # 36
You need to set alerts on key broker metrics to trigger notifications when the cluster is unhealthy.
Which are three minimum broker metrics to monitor?
(Select three.)

Answer: A,C,D

Explanation:
These three metrics are critical for cluster health:
* OfflinePartitionsCount: Indicates partitions without active leaders - a sign of broker failure.
* ActiveControllerCount: There should beexactly one active controller. A count # 1 signals controller failure.
* UncleanLeaderElectionsPerSec: Tracks leader elections where out-of-sync replicas were selected - risky for data loss.
FromKafka Monitoring Documentation:
"Offline partitions and unclean leader elections should trigger alerts. Also, ensure a single active controller is running."
* A is about topics pending deletion - not critical.
* E is a per-topic record metric, not broker-level.
Reference:Kafka Monitoring > Key JMX Metrics


NEW QUESTION # 37
How often is log compaction evaluated?

Answer: D

Explanation:
Log compaction is evaluated every time a segment is closed. It will be triggered if enough data is "dirty" (see dirty ratio config)


NEW QUESTION # 38
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?

Answer: D

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 # 39
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