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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q152-Q157):

NEW QUESTION # 152
A producer application in a developer machine was able to send messages to a Kafka topic. After copying the producer application into another developer's machine, the producer is able to connect to Kafka but unable to produce to the same Kafka topic because of an authorization issue. What is the likely issue?

A. You cannot copy a producer application from one machine to another
B. The Kafka Broker needs to be rebooted
C. Broker configuration needs to be changed to allow a different producer
D. The Kafka ACL does not allow another machine IP

Answer: D

Explanation:
ACLs take "Host" as a parameter, which represents an IP. It can be * (all IP), or a specific IP. Here, it's a specific IP as moving a producer to a different machine breaks the consumer, so the ACL needs to be updated

NEW QUESTION # 153
You are developing a Java application using a Kafka consumer.
You need to integrate Kafka's client logs with your own application's logs using log4j2.
Which Java library dependency must you include in your project?

A. None, the right dependency will be added by the Kafka client dependency by transitivity.
B. SLF4J implementation for Log4j 1.2 (org.slf4j:slf4j-log4j12)
C. SLF4J implementation for Log4j2 (org.apache.logging.log4j:log4j-slf4j-impl)
D. Just the log4j2 dependency of the application

Answer: C

Explanation:
Kafka clients useSLF4Jas a logging facade. To redirect Kafka logs tolog4j2, you must include theSLF4J binding for log4j2in your classpath:
"org.apache.logging.log4j:log4j-slf4j-impl bridges SLF4J to Log4j2 so that Kafka's logs integrate into your application's Log4j2 configuration."
* Option A is forLog4j 1.x, which is outdated.
* Option C is incorrect; Kafka clients don't include logging bindings.
* Option D is insufficient without the SLF4J bridge.
Reference:Kafka Logging Integration Practices

NEW QUESTION # 154
Your application is consuming from a topic with one consumer group.
The number of running consumers is equal to the number of partitions.
Application logs show that some consumers are leaving the consumer group during peak time, triggering a rebalance. You also notice that your application is processing many duplicates.
You need to stop consumers from leaving the consumer group.
What should you do?

A. Add more consumer instances.
B. Increase session.timeout.ms property.
C. Split consumers in different consumer groups.
D. Reduce max.poll.records property.

Answer: B

Explanation:
If the consumer fails to send heartbeats in time (due to being slow under load), it is considereddead, causing a rebalance. Increasing session.timeout.ms gives the consumermore time to process messages and send heartbeats, preventing premature removal.
FromKafka Docs > Heartbeats and Failures:
"If the consumer does not send a heartbeat in session.timeout.ms, it is considered dead and the group coordinator will trigger a rebalance." Reducing max.poll.records mightslow consumption further. More consumers won't help since each partition already has a dedicated consumer.
Reference:Apache Kafka Consumer Configs > session.timeout.ms

NEW QUESTION # 155
If you enable an SSL endpoint in Kafka, what feature of Kafka will be lost?

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

Answer: D

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 # 156
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.)

A. kafka.controller:type=KafkaController,name=OfflinePartitionsCount
B. kafka.controller:type=KafkaController,name=LastCommittedRecordOffset
C. kafka.controller:type=KafkaController,name=TopicsToDeleteCount
D. kafka.controller:type=ControllerStats,name=UncleanLeaderElectionsPerSec
E. kafka.controller:type=KafkaController,name=ActiveControllerCount

Answer: A,D,E

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 # 157
......

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