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Confluent Certified Administrator for Apache Kafka Questions 6–10 (page: 3)

Updated On: 10-Feb-2026

You are using Confluent Schema Registry to provide a RESTful interface for storing and retrieving schemas.
Which types of schemas are supported? (Choose three.)

  1. Avro
  2. gRPC
  3. JSON
  4. Thrift
  5. Protobuf

Answer(s): A,C,E

Explanation:

Avro is the original and most commonly used schema format supported by Schema Registry. Confluent Schema Registry supports JSON Schema for validation and compatibility checks. Protocol Buffers (Protobuf) are supported for schema management in Schema Registry.



Multiple clients are sharing a Kafka cluster.
As an administrator, how would you ensure that Kafka resources are distributed fairly to all clients?

  1. Quotas
  2. Consumer Groups
  3. Rebalancing
  4. ACLs

Answer(s): A

Explanation:

Kafka quotas allow administrators to control and limit the rate of data production and consumption per client (producer/consumer), ensuring fair use of broker resources among multiple clients.



A customer has a use case for a ksqlDB persistent query. You need to make sure that duplicate messages are not processed and messages are not skipped.
Which property should you use?

  1. processing.guarantee=exactly_once
  2. ksql.streams auto offset.reset=earliest
  3. ksql.streams auto.offset.reset=latest
  4. ksql.fail.on.production.error=false

Answer(s): A

Explanation:

processing.guarantee=exactly_once ensures that messages are processed exactly once by ksqlDB, preventing both duplicates and message loss.



If a broker's JVM garbage collection takes too long, what can occur?

  1. There will be a trigger of the broker's log cleaner thread.
  2. ZooKeeper believes the broker to be dead.
  3. There is backpressure to, and pausing of, Kafka clients.
  4. Log files written to disk are loaded into the page cache.

Answer(s): B

Explanation:

If the broker's JVM garbage collection (GC) pause is too long, it may fail to send heartbeats to ZooKeeper within the expected interval. As a result, ZooKeeper considers the broker dead, and the broker may be removed from the cluster, triggering leader elections and partition reassignments.



You are managing a Kafka cluster with five brokers (broker id '0', '1','2','3','4') and three ZooKeepers. There are 100 topics, five partitions for each topic, and replication factor three on the cluster. Broker id `0' is currently the Controller, and this broker suddenly fails.
Which statements are correct? (Choose three.)

  1. Kafka uses ZooKeeper's ephemeral node feature to elect a controller.
  2. The Controller is responsible for electing Leaders among the partitions and replicas.
  3. The Controller uses the epoch number to prevent a split brain scenario.
  4. The broker id is used as the epoch number to prevent a split brain scenario.
  5. The number of Controllers should always be equal to the number of brokers alive in the cluster.
  6. The Controller is responsible for reassigning partitions to the consumers in a Consumer Group.

Answer(s): A,B,C

Explanation:

Kafka relies on ZooKeeper's ephemeral nodes to detect if a broker (controller) goes down and to elect a new controller.
The controller manages partition leadership assignments and handles leader election when a broker fails.

The epoch number ensures coordination and avoids outdated controllers acting on stale data.



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