Confluent CCDAK : Confluent Certified Developer for Apache Kafka Certification Examination

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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. Which is true about topic compaction?

A) When a client produces a new event with an existing key, the broker immediately deletes the offset of the existing event.
B) When a client produces a new event with an existing key, the old value is overwritten with the new value in the compacted log segment.
C) Compaction will keep exactly one message per key after compaction of inactive log segments.
D) Topic compaction does not remove old events; instead, when clients consume events from a compacted topic, they store events in a hashmap that maintains the latest value.

2. Which two statements about Kafka Connect Single Message Transforms (SMTs) are correct?
(Select two.)

A) SMTs are often used to join multiple records from a source data system into a single Kafka record.
B) SMT functionality is included within Kafka Connect converters.
C) Multiple SMTs can be chained together and act on source or sink messages.
D) Masking data is a good example of an SMT.

3. You need to collect logs from a host and write them to a Kafka topic named 'logs-topic'. You decide to use Kafka Connect File Source connector for this task.
What is the preferred deployment mode for this connector?

A) SingleCluster mode
B) Parallel mode
C) Standalone mode
D) Distributed mode

4. (You have a Kafka Connect cluster with multiple connectors deployed.
One connector is not working as expected.
You need to find logs related to that specific connector to investigate the issue.
How can you find the connector's logs?)

A) Make no change; there is no way to isolate connector logs.
B) Modify the log4j.properties file to add a dedicated log appender for the connector.
C) Change the log level to DEBUG to include connector context information.
D) Modify the log4j.properties file to enable connector context.

5. 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) Check the value of ProducerRecord.status().
C) Check that producer.send() returned a RecordMetadata object and is not null.
D) Use a callback argument in producer.send() where you check delivery status.

Solutions: