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Confluent CCDAK Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Kafka Ecosystem and Confluent Platform | - ksqlDB and connectors
|
| Topic 2: Kafka Streams and Processing | - Event processing patterns
|
| Topic 3: Kafka Producers and Consumers | - Consumer API
|
| Topic 4: Kafka Fundamentals | - Data flow in Kafka
|
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
Which two statements are correct about transactions in Kafka?
(Select two.)
- A. All messages from a failed transaction will be deleted from a Kafka topic.
- B. Transactions guarantee at least once delivery of messages.
- C. Transactions are only possible when writing messages to a topic with single partition.
- D. Information about producers and their transactions is stored in the _transaction_state topic.
- E. Consumers can consume both committed and uncommitted transactions.
Correct Answer: D,E 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
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. SLF4J implementation for Log4j 1.2 (org.slf4j:slf4j-log4j12)
- B. SLF4J implementation for Log4j2 (org.apache.logging.log4j:log4j-slf4j-impl)
- C. None, the right dependency will be added by the Kafka client dependency by transitivity.
- D. Just the log4j2 dependency of the application
Correct Answer: B 🗳️
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What is a consequence of increasing the number of partitions in an existing Kafka topic?
- A. The acknowledgment process will increase latency for producers using acks=all.
- B. Existing data will be redistributed across the new number of partitions temporarily increasing cluster load.
- C. Consumers will need to process data from more partitions which will significantly increase consumer lag.
- D. Records with the same key could be located in different partitions.
Correct Answer: C 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
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. Split consumers in different consumer groups.
- C. Reduce max.poll.records property.
- D. Increase session.timeout.ms property.
Correct Answer: D 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
(You are developing a Java application that includes a Kafka consumer.
You need to integrate Kafka client logs with your own application logs.
Your application is using the Log4j2 logging framework.
Which Java library dependency must you include in your project?)
- A. SLF4J implementation for Log4j 1.2 (org.slf4j:slf4j-log4j12)
- B. SLF4J implementation for Log4j2 (org.apache.logging.log4j:log4j-slf4j-impl)
- C. Just the Log4j2 dependency of the application
- D. None, the correct dependency will be added transitively by the Kafka client
Correct Answer: B 🗳️
Explanation: Only visible for PassCollection members. You can sign-up / login (it's free).
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