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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. (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?)

A) Update the consumer group's offset to the earliest position using the kafka-consumer-groups CLI tool.
B) Start a new consumer application with the same consumer group id.
C) Update the consumer configuration by setting the auto.offset.reset property to earliest.
D) Temporarily configure the topic's retention.ms parameter to 0 to empty the topic.

2. You have a Kafka client application that has real-time processing requirements.
Which Kafka metric should you monitor?

A) Total time to serve requests to replica followers
B) Aggregate incoming byte rate
C) Consumer lag between brokers and consumers
D) Consumer heartbeat rate to group coordinator

3. A stream processing application is consuming from a topic with five partitions. You run three instances of the application. Each instance has num.stream.threads=5.
You need to identify the number of stream tasks that will be created and how many will actively consume messages from the input topic.

A) 5 created, 1 actively consuming
B) 5 created, 5 actively consuming
C) 15 created, 15 actively consuming
D) 15 created, 5 actively consuming

4. (You create an Orders topic with 10 partitions.
The topic receives data at high velocity.
Your Kafka Streams application initially runs on a server with four CPU threads.
You move the application to another server with 10 CPU threads to improve performance.
What does this example describe?)

A) Vertical Scaling
B) Scaling Out
C) Horizontal Scaling
D) Plain Scaling

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

Solutions: