CCDAK Exam Dumps : Confluent Certified Developer for Apache Kafka Certification Examination

This syntax is a clear match toProtocol Buffers (Protobuf). It defines a schema with fields, types, and tags, which is a format supported by Kafka when usingProtobuf-based schema registry serialization.

FromConfluent Schema Registry Docs:

“Kafka supports Protobuf serialization, where schemas are written in .proto files and include fields with tags.”

int32, double, and string are standard Protobuf types.

Avro uses JSON-style schema.

JSON Schema uses JSON object structure, not .proto.

YAML is unrelated.

The bootstrap.servers setting is used by clients (producers and consumers) toinitially connectto the Kafka cluster. It does not need to list all brokers—just a few that are up and reachable. The client will then use the cluster metadata to discover the full broker list.

FromKafka Java Client Configuration Docs:

“This is a list of host/port pairs to use for establishing the initial connection to the Kafka cluster. The client will make use of all servers irrespective of which servers are specified here for bootstrapping.”

Hence,listing multiple brokers provides redundancyand fault tolerance in the event one is down during client startup.

Kafka Streams usestransactional producersto guaranteeexactly-once semantics (EOS). This ensures that both theoutput recordsandstate store updatesare committed atomically, avoiding duplication or partial writes.

FromKafka Streams Documentation > Processing Guarantees:

“Kafka Streams leveragesKafka’s transactional APIsto commit the output records and internal state updatesas a single atomic unit, thereby providing exactly-once semantics.”

Option A is incorrect because log compaction is not disabled for EOS.

Option C incorrectly describes a checkpointing system Kafka Streams does not use.

Option D refers to deduplication, which is not how EOS is achieved in Streams.