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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

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

2. A stream processing application is tracking user activity in online shopping carts.
You want to identify periods of user inactivity.
Which type of Kafka Streams window should you use?

A) Session
B) Hopping
C) Sliding
D) Tumbling

3. You are writing a producer application and need to ensure proper delivery. You configure the producer with acks=all.
Which two actions should you take to ensure proper error handling?
(Select two.)

A) Surround the call of producer.send() with a try/catch block to catch KafkaException.
B) Use a callback argument in producer.send() where you check delivery status.
C) Check the value of ProducerRecord.status().
D) Check that producer.send() returned a RecordMetadata object and is not null.

4. You are composing a REST request to create a new connector in a running Connect cluster. You invoke POST /connectors with a configuration and receive a 409 (Conflict) response.
What are two reasons for this response? (Select two.)

A) The connector configuration was invalid, and the response body will expand on the configuration error.
B) The connect cluster has reached capacity, and new connectors cannot be created without expanding the cluster.
C) The Connector already exists in the cluster.
D) The Connect cluster is in process of rebalancing.

5. (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) Set enable.idempotence=true in the internal producer configuration of the Kafka Streams application.
B) Set enable.exactly_once=true in the Kafka Streams configuration.
C) Enable compaction on the output topic to handle duplicates.
D) Set processing.guarantee=exactly_once_v2 in the Kafka Streams configuration.

Solutions: