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Confluent CCDAK Exam Syllabus Topics:

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. What is accomplished by producing data to a topic with a message key?

A) Kafka brokers allow you to add more partitions to a given topic, without impacting the data flow for existing keys.
B) Consumers can filter messages in real time based on the message key without processing unrelated messages.
C) Messages with the same key are routed to a deterministically selected partition, enabling order guarantees within that partition.
D) It provides a mechanism for encrypting messages at the partition level to ensure secure data transmission.

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) 0
B) 589
C) 218
D) 318

3. Kafka producers can batch messages going to the same partition.
Which statement is correct about producer batching?

A) Two or more broker failures will automatically disable batching on the producer.
B) Producers have a separate background thread for each batch.
C) Producers can only batch messages of the same size.
D) Producers can include multiple batches in a single request to a broker.

4. (An S3 source connector named s3-connector stopped running.
You use the Kafka Connect REST API to query the connector and task status.
One of the three tasks has failed.
You need to restart the connector and all currently running tasks.
Which REST request will restart the connector instance and all its tasks?)

A) POST /connectors/s3-connector/restart?includeTasks=true&onlyFailed=true
B) POST /connectors/s3-connector/tasks/0/restart
C) POST /connectors/s3-connector/restart
D) POST /connectors/s3-connector/restart?includeTasks=true

5. 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) Sliding
B) Session
C) Tumbling
D) Hopping

Solutions: