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The CCDAK Certification Exam covers a wide range of topics related to Apache Kafka, including core Kafka concepts, Kafka cluster management, Kafka Streams, and Kafka Connect. CCDAK exam also includes hands-on exercises that require developers to demonstrate their ability to apply their knowledge of Kafka to real-world scenarios.

Apache Kafka is a popular open-source, distributed streaming platform that is widely used for handling real-time data streaming in modern enterprises. It has been gaining rapid acceptance for its ability to handle massive amounts of data and support different workloads. Many businesses are now leveraging Apache Kafka to enable streaming data processing in their organizations, making it essential for developers to become proficient in using Kafka to build, manage and maintain these applications.

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q137-Q142):

NEW QUESTION # 137
A consumer sends a request to commit offset 2000. There is a temporary communication problem, so the broker never gets the request and therefore never responds. Meanwhile, the consumer processed another batch and successfully committed offset 3000. What should you do?

A. Use the kafka-consumer-group command to manually commit the offsets 2000 for the consumer group
B. Add a new consumer to the group
C. Nothing
D. Restart the consumer

Answer: C

Explanation:
In this case, because the offset 3000 has been committed and all the messages between 0 and 3000 have all been processed, it is okay not to have committed offset 2000. The right answer is to do "nothing", this behaviour is acceptable

NEW QUESTION # 138
Your Kafka cluster has five brokers. The topic t1 on the cluster has two partitions, and it has replication.factor
= 4, min.insync.replicas = 3.
You want to have strong durability guarantees for messages written to topic t1.
If you configure a producer 'acks=all', how many brokers need to acknowledge a message before it is considered committed?

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

Answer: A

NEW QUESTION # 139
What's a Kafka partition made of?

A. One file and two indexes per segment
B. One file and two indexes
C. One file and one index
D. One file

Answer: A

Explanation:
Kafka partitions are made of segments (usually each segment is 1GB), and each segment has two corresponding indexes (offset index and time index)

NEW QUESTION # 140
Producing with a key allows to...

A. Allow a Kafka Consumer to subscribe to a (topic,key) pair and only receive that data
B. Add more information to my message
C. Influence partitioning of the producer messages
D. Ensure per-record level security

Answer: C

Explanation:
Keys are necessary if you require strong ordering or grouping for messages that share the same key. If you require that messages with the same key are always seen in the correct order, attaching a key to messages will ensure messages with the same key always go to the same partition in a topic. Kafka guarantees order within a partition, but not across partitions in a topic, so alternatively not providing a key - which will result in round-robin distribution across partitions - will not maintain such order.

NEW QUESTION # 141
Select all the way for one consumer to subscribe simultaneously to the following topics - topic.history, topic.sports, topic.politics? (select two)

A. consumer.subscribe("topic.history"); consumer.subscribe("topic.sports"); consumer.subscribe("topic.politics");
B. consumer.subscribe(Pattern.compile("topic..*"));
C. consumer.subscribePrefix("topic.");
D. consumer.subscribe(Arrays.asList("topic.history", "topic.sports", "topic.politics"));

Answer: B,D

Explanation:
Multiple topics can be passed as a list or regex pattern.

NEW QUESTION # 142
......

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