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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:

1. You are writing a producer application and need to ensure proper delivery. You configure the producer with acks=all.
Which two actions should you take to ensure proper error handling?
(Select two.)

A) Check the value of ProducerRecord.status().
B) Surround the call of producer.send() with a try/catch block to catch KafkaException.
C) Use a callback argument in producer.send() where you check delivery status.
D) Check that producer.send() returned a RecordMetadata object and is not null.

2. (You are configuring a source connector that writes records to an Orders topic.
You need to send some of the records to a different topic.
Which Single Message Transform (SMT) is best suited for this requirement?)

A) RegexRouter
B) InsertField
C) TombstoneHandler
D) HeaderFrom

3. What are two examples of performance metrics?
(Select two.)

A) fetch-rate
B) Number of active user sessions
C) incoming-byte-rate
D) total-login-attempts
E) Time of last failed login
F) Number of active users

4. (You are writing to a Kafka topic with producer configuration acks=all.
The producer receives acknowledgements from the broker but still creates duplicate messages due to network timeouts and retries.
You need to ensure that duplicate messages are not created.
Which producer configuration should you set?)

A) retries=2147483647max.in.flight.requests.per.connection=5enable.idempotence=false
B) retries=0max.in.flight.requests.per.connection=5enable.idempotence=true
C) retries=2147483647max.in.flight.requests.per.connection=1enable.idempotence=true
D) enable.auto.commit=true

5. (You are implementing a Kafka Streams application to process financial transactions.
Each transaction must be processed exactly once to ensure accuracy.
The application reads from an input topic, performs computations, and writes results to an output topic.
During testing, you notice duplicate entries in the output topic, which violates the exactly-once processing requirement.
You need to ensure exactly-once semantics (EOS) for this Kafka Streams application.
Which step should you take?)

A) Set enable.exactly_once=true in the Kafka Streams configuration.
B) Set enable.idempotence=true in the internal producer configuration of the Kafka Streams application.
C) Enable compaction on the output topic to handle duplicates.
D) Set processing.guarantee=exactly_once_v2 in the Kafka Streams configuration.

Solutions: