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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. (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) Plain Scaling
C) Scaling Out
D) Horizontal Scaling

2. (A consumer application runs once every two weeks and reads from a Kafka topic.
The last time the application ran, the last offset processed was 217.
The application is configured with auto.offset.reset=latest.
The current offsets in the topic start at 318 and end at 588.
Which offset will the application start reading from when it starts up for its next run?)

A) 318
B) 589
C) 218
D) 0

3. (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) Add more consumers to increase the level of parallelism of the processing.
B) Decrease the max.poll.records property of consumers.
C) Increase the max.poll.records property of consumers.
D) Add more partitions to the topic to increase the level of parallelism of the processing.

4. (You are building real-time streaming applications using Kafka Streams.
Your application has a custom transformation.
You need to define custom processors in Kafka Streams.
Which tool should you use?)

A) Kafka Streams Domain Specific Language (DSL)
B) Processor API
C) Kafka Streams Custom Transformation Language
D) TopologyTestDriver

5. (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=0
C) min.cleanable.dirty.ratio=-1
D) retention.ms=infinite

Solutions: