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Confluent CCDAK Exam Overview:

Certification Vendor:	Confluent
Exam Name:	Confluent Certified Developer for Apache Kafka Certification Examination
Exam Number:	CCDAK
Exam Price:	$150 USD
Available Languages:	English
Exam Format:	List order, Matching, Multiple-choice
Exam Duration:	90 minutes
Related Certifications:	Confluent Certified Administrator for Apache Kafka (CCAAK) Confluent Cloud Certified Operator (CCAC)
Passing Score:	Pass / Fail
Certificate Validity Period:	2 years
Real Exam Qty:	60
Recommended Training:	Confluent Developer Training for Apache Kafka Confluent Documentation
Exam Registration:	Confluent Certification Portal
Sample Questions:	Confluent CCDAK Sample Questions
Exam Way:	Remote proctored online exam; requires webcam, microphone, Google Chrome browser
Pre Condition:	No mandatory prerequisites; recommended experience: 6+ months developing applications with Apache Kafka
Official Syllabus URL:	https://www.confluent.io/certification/

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q17-Q22):

NEW QUESTION # 17
Which statements are correct about ksqlDB SQL? (Choose 3.)

A. It is ANSI compliant.
B. Primary key indexing is supported.
C. It can do joins.
D. It supports windowed joins.
E. Queries can run continuously.

Answer: C,D,E

NEW QUESTION # 18
A producer application was sending messages to a partition with a replication factor of 2 by connecting to Broker 1 that was hosting partition leader. If the Broker 1 goes down, what will happen?

A. The topic will be unavailable
B. The producer will automatically produce to the broker that has been elected leader
C. The producer will stop working

Answer: B

Explanation:
Once the client connects to any broker, it is connected to the entire cluster and in case of leadership changes, the clients automatically do a Metadata Request to an available broker to find out who is the new leader for the topic. Hence the producer will automatically keep on producing to the correct Kafka Broker

NEW QUESTION # 19
You are receiving orders from different customer in an "orders" topic with multiple partitions. Each message has the customer name as the key. There is a special customer named ABC that generates a lot of orders and you would like to reserve a partition exclusively for ABC. The rest of the message should be distributed among other partitions. How can this be achieved?

A. Add metadata to the producer record
B. Create a custom partitioner
C. Define a Kafka Broker routing rule
D. All messages with the same key will go the same partition, but the same partition may have messages with different keys. It is not possible to reserve

Answer: B

Explanation:
A Custom Partitioner allows you to easily customise how the partition number gets computed from a source message.

NEW QUESTION # 20
Compaction is enabled for a topic in Kafka by setting log.cleanup.policy=compact. What is true about log compaction?

A. Each message stored in the topic is compressed
B. Kafka automatically de-duplicates incoming messages based on key hashes
C. After cleanup, only one message per key is retained with the latest value
D. After cleanup, only one message per key is retained with the first value

Answer: C

Explanation:
Compaction changes the offset of messages
Explanation:
Log compaction retains at least the last known value for each record key for a single topic partition. All compacted log offsets remain valid, even if record at offset has been compacted away as a consumer will get the next highest offset.

NEW QUESTION # 21
What is true about replicas ?

A. Produce requests can be done to the replicas that are followers
B. Follower replica handles all consume requests
C. Produce and consume requests are load-balanced between Leader and Follower replicas
D. Leader replica handles all produce and consume requests

Answer: D

Explanation:
Replicas are passive - they don't handle produce or consume request. Produce and consume requests get sent to the node hosting partition leader.

NEW QUESTION # 22
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