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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q42-Q47):

NEW QUESTION # 42
Which configuration determines how many bytes of data are collected before sending messages to the Kafka broker?

A. max. request.size
B. batch .size
C. buffer, memory
D. send. buffer, bytes

Answer: B

NEW QUESTION # 43
Which is an optional field in an Avro record?

A. doc
B. fields
C. namespace
D. name

Answer: A

Explanation:
doc represents optional description of message

NEW QUESTION # 44
Your configuration parameters for a Source connector and Connect worker are:
* offset.flush.interval.ms=60000
* offset.flush.timeout.ms=500
* offset.storage.topic=connect-offsets
* offset.storage.replication.factor=-1Which four statements match the expected behavior?(Select four.)

A. The connector will wait 60000ms before trying to commit offsets for tasks.
B. The connector will wait 500ms for offset data to be committed.
C. The offsets topic will use the broker default replication factor.
D. The connector will commit offsets to a topic called connect-offsets.

Answer: A,B,C,D

Explanation:
Each of these settings plays a key role inKafka Connect offset management:
* offset.flush.interval.ms=60000 # Offset commits happen every 60 seconds.
* offset.flush.timeout.ms=500 # The flush operation times out if it takes more than 500 ms.
* offset.storage.topic=connect-offsets # This is the internal topic for storing source offsets.
* offset.storage.replication.factor=-1 # This uses thebroker's default replication factor(commonly set via default.replication.factor).
FromKafka Connect Docs:
"If offset.storage.replication.factor=-1, the value will be determined by the broker's default replication factor." Reference:Kafka Connect Worker Configuration

NEW QUESTION # 45
Which Kafka CLI should you use to consume from a topic?

A. kafka-console-consumer
B. kafka-consumer-groups
C. kafka-topics
D. kafka-console

Answer: A

Explanation:
Examplekafka-console-consumer --bootstrap-server 127.0.0.1:9092 --topic test --from-beginning

NEW QUESTION # 46
What are three built-in abstractions in the Kafka Streams DSL?
(Select three.)

A. GlobalKStream
B. StreamTable
C. KStream
D. GlobalKTable
E. KTable

Answer: C,D,E

Explanation:
TheKafka Streams DSLprovides three primary abstractions:
* KStream: Represents an unbounded stream of records (append-only).
* KTable: Represents a changelog stream where each key has the latest value (like a materialized view).
* GlobalKTable: A fully replicated version of KTable across all stream instances, enabling global joins.
FromKafka Streams Developer Guide:
"Kafka Streams provides three core abstractions: KStream, KTable, and GlobalKTable, each serving different purposes in stream processing and joins."
* GlobalKStream and StreamTable donot existin Kafka's API.
Reference:Kafka Streams Concepts > KStream, KTable, GlobalKTable

NEW QUESTION # 47
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