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To become certified as a Confluent CCDAK certified developer for Apache Kafka, candidates must pass a rigorous online examination. CCDAK exam is computer-based and consists of 90 multiple choice questions, and has a time limit of 120 minutes. CCDAK exam is designed to challenge the technical skills and knowledge needed for creating and managing Apache Kafka applications using Confluent's platform. Passing the Confluent CCDAK Exam demonstrates a proficiency in working with Kafka streams in a distributed environment using Confluent platform, allowing candidates to leverage this certification to advance their careers.

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Apache Kafka has become one of the most popular open-source distributed streaming platforms used by software developers and data engineers. Kafka is used for building real-time data pipelines and streaming applications, making it a crucial component of the modern data architecture. To validate the knowledge and expertise of developers working with Kafka, Confluent has introduced the Confluent Certified Developer for Apache Kafka (CCDAK) certification exam.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q43-Q48):

NEW QUESTION # 43
What are stateful operations in Kafka Streams API? (Choose 2.)

A. joins
B. windowing
C. branch
D. map

Answer: A,B

NEW QUESTION # 44
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 1. What is the maximum number of brokers that can be down so that a producer with acks=all can still produce to the topic?

A. 0
B. 1
C. 2
D. 3

Answer: C

Explanation:
Two brokers can go down, and one replica will still be able to receive and serve data

NEW QUESTION # 45
Which of the following is NOT a supported serialization format in ksqlDB?

A. BSON
B. Delimited
C. Protobuf
D. Avro

Answer: A

NEW QUESTION # 46
You are writing to a topic with acks=all.
The producer receives acknowledgments but you notice duplicate messages.
You find that timeouts due to network delay are causing resends.
Which configuration should you use to prevent duplicates?

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

Answer: D

Explanation:
To ensure exactly-once delivery and avoid duplicates even during retries:
enable.idempotence=true ensures deduplication on the broker
retries=2147483647 allows unlimited retries on retriable errors
max.in.flight.requests.per.connection=5 is the maximum value that preserves message order with idempotence From Kafka Producer Config Docs:
"To achieve exactly-once semantics, set enable.idempotence=true, and max.in.flight.requests.per.connection #
5."
A is unrelated (consumer-side)
C disables retries
D disables idempotence, leading to duplicates
Reference: Kafka Producer Configs > enable.idempotence, retries

NEW QUESTION # 47
You need to configure a sink connector to write records that fail into a dead letter queue topic. Requirements:
Topic name: DLQ-Topic
Headers containing error context must be added to the messagesWhich three configuration parameters are necessary?(Select three.)

A. errors.deadletterqueue.context.headers.enable=true
B. errors.deadletterqueue.topic.name=DLQ-Topic
C. errors.tolerance=all
D. errors.log.include.messages=true
E. errors.tolerance=none
F. errors.log.enable=true

Answer: A,B,C

Explanation:
To send failed records to a dead letter queue (DLQ), you must configure:
errors.tolerance=all: Tells the connector to not fail on errors but handle them (e.g., send to DLQ).
errors.deadletterqueue.topic.name=DLQ-Topic: Specifies the DLQ topic.
errors.deadletterqueue.context.headers.enable=true: Includes error context in message headers.
From Kafka Connect Error Handling Docs:
"Kafka Connect supports directing problematic records to a separate topic (DLQ) using errors.* configs.
Headers can include failure metadata."
Options D, E, F are related to logging, not DLQ behavior.
Reference: Kafka Connect Configurations > Error Handling

NEW QUESTION # 48
......

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