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Confluent Certified Developer for Apache Kafka Certification Examination Questions 46–50 (page: 11)

Updated On: 10-Feb-2026

You want to sink data from a Kafka topic to S3 using Kafka Connect. There are 10 brokers in the cluster, the topic has 2 partitions with replication factor of 3. How many tasks will you configure for the S3 connector?

  1. 10
  2. 6
  3. 3
  4. 2

Answer(s): D

Explanation:

You cannot have more sink tasks (= consumers) than the number of partitions, so 2.



Producing with a key allows to...

  1. Ensure per-record level security
  2. Influence partitioning of the producer messages
  3. Add more information to my message
  4. Allow a Kafka Consumer to subscribe to a (topic,key) pair and only receive that data

Answer(s): B

Explanation:

Keys are necessary if you require strong ordering or grouping for messages that share the same key. If you require that messages with the same key are always seen in the correct order, attaching a key to messages will ensure messages with the same key always go to the same partition in a topic. Kafka guarantees order within a partition, but not across partitions in a topic, so alternatively not providing a key - which will result in round-robin distribution across partitions - will not maintain such order.



Select all the way for one consumer to subscribe simultaneously to the following topics - topic.history, topic.sports, topic.politics? (Select two)

  1. consumer.subscribe(Pattern.compile("topic\..*"));
  2. consumer.subscribe("topic.history");consumer.subscribe("topic.sports"); consumer.subscribe("topic.politics");
  3. consumer.subscribePrefix("topic.");
  4. consumer.subscribe(Arrays.asList("topic.history", "topic.sports", "topic.politics"));

Answer(s): A,D

Explanation:

Multiple topics can be passed as a list or regex pattern.



What isn't a feature of the Confluent schema registry?

  1. Store avro data
  2. Enforce compatibility rules
  3. Store schemas

Answer(s): A

Explanation:

Data is stored on brokers.



Which of the following errors are retriable from a producer perspective? (Select two)

  1. MESSAGE_TOO_LARGE
  2. INVALID_REQUIRED_ACKS
  3. NOT_ENOUGH_REPLICAS
  4. NOT_LEADER_FOR_PARTITION
  5. TOPIC_AUTHORIZATION_FAILED

Answer(s): C,D

Explanation:

Both of these are retriable errors, others non-retriable errors. See the full list of errors and their "retriable" status herehttps://kafka.apache.org/protocol#protocol_error_codes



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