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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q20-Q25):

NEW QUESTION # 20
(You have a Kafka consumer in production actively reading from a critical topic from which multiple other applications are consuming.
You have a new requirement to update the offset of your consumer to start reading from the beginning of the topic.
Which action would you take?)

Answer: C

Explanation:
The Apache Kafka documentation states that consumer offsets are stored per consumer group and must be explicitly reset if an application needs to reprocess data from an earlier position. The officially supported and safest way to reset offsets for an existing consumer group is by using the kafka-consumer-groups CLI tool with the --reset-offsets option and the --to-earliest flag.
Setting auto.offset.reset=earliest (Option D) only applies when no committed offset exists for a partition.
Since this consumer is already running in production, offsets are already committed, making this option ineffective. Option C does not change offsets because Kafka identifies consumers by group ID, not application instance. Option B is extremely dangerous and incorrect, as setting retention.ms=0 deletes data for all consumers and impacts other applications.
Therefore, using the CLI to reset offsets for the specific consumer group ensures controlled, auditable, and targeted offset management without affecting other consumers or the topic itself. This approach is explicitly documented in Kafka's consumer group administration tools.


NEW QUESTION # 21
Your streams application is reading from an input topic that has 5 partitions. You run 5 instances of your application, each with num.streams.threads set to 5. How many stream tasks will be created and how many will be active?

Answer: A

Explanation:
One partition is assigned a thread, so only 5 will be active, and 25 threads (i.e. tasks) will be created


NEW QUESTION # 22
Which two producer exceptions are examples of the class RetriableException? (Select two.)

Answer: A,D

Explanation:
RetriableException is a subclass of KafkaException, indicating transient issues that might succeed if retried.
Examples include:
LeaderNotAvailableException: Happens when metadata is not yet propagated or leader election is in progress.
NotEnoughReplicasException: Happens when the number of in-sync replicas is insufficient. This can be transient if replicas come back online.
From the Apache Kafka Java Client documentation:
"These exceptions (like LeaderNotAvailableException, NotEnoughReplicasException) are transient and the client will retry them automatically depending on retry configuration." RecordTooLargeException and AuthorizationException are non-retriable as they indicate client-side or permission errors.
Reference: Apache Kafka Java Client API > org.apache.kafka.common.errors


NEW QUESTION # 23
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 # 24
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 2. How many brokers can go down before a producer with acks=1 can't produce?

Answer: C

Explanation:
min.insync.replicas does not impact producers when acks=1 (only when acks=all)


NEW QUESTION # 25
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