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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.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?
A) Update the consumer configuration by setting auto.offset.reset=earliest.
B) Update the consumer group's offset to the earliest position using the kafka-consumer-groups CLI tool.
C) Start a new consumer application with the same consumer group id.
D) Temporarily configure the topic's retention.ms parameter to 0 to empty the topic.
2. (You have a topic with four partitions. The application reading this topic is using a consumer group with two consumers.
Throughput is smoothly distributed among partitions, but application lag is increasing.
Application monitoring shows that message processing is consuming all available CPU resources.
Which action should you take to resolve this issue?)
A) Decrease the max.poll.records property of consumers.
B) Increase the max.poll.records property of consumers.
C) Add more partitions to the topic to increase the level of parallelism of the processing.
D) Add more consumers to increase the level of parallelism of the processing.
3. (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 enable.idempotence=true in the internal producer configuration of the Kafka Streams application.
C) Set enable.exactly_once=true in the Kafka Streams configuration.
D) Set processing.guarantee=exactly_once_v2 in the Kafka Streams configuration.
4. (You are designing a stream pipeline to monitor the real-time location of GPS trackers, where historical location data is not required.
Each event has:
* Key: trackerId
* Value: latitude, longitude
You need to ensure that the latest location for each tracker is always retained in the Kafka topic.
Which topic configuration parameter should you set?)
A) cleanup.policy=compact
B) retention.ms=infinite
C) min.cleanable.dirty.ratio=-1
D) retention.ms=0
5. Match each configuration parameter with the correct option.
To answer choose a match for each option from the drop-down. Partial
credit is given for each correct answer.
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: Only visible for members |
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