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Confluent CCDAK Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Kafka Ecosystem and Confluent Platform | - ksqlDB and connectors
|
| Kafka Fundamentals | - Data flow in Kafka
|
| Kafka Streams and Processing | - Kafka Streams API
|
| Kafka Producers and Consumers | - Consumer API
|
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. (You want to enrich the content of a topic by joining it with key records from a second topic.
The two topics have a different number of partitions.
Which two solutions can you use?
Select two.)
A) Repartition one topic to a new topic with the same number of partitions as the other topic (co- partitioning constraint) and use a KStream-KTable join.
B) Create as many Kafka Streams application instances as the maximum number of partitions of the two topics and use a KStream-KTable join.
C) Use a GlobalKTable for one of the topics where data does not change frequently and use a KStream- GlobalKTable join.
D) Use a KStream-KTable join; Kafka Streams will automatically repartition the topics to satisfy the co- partitioning constraint.
2. You need to correctly join data from two Kafka topics.
Which two scenarios will allow for co-partitioning?
(Select two.)
A) Both topics have the same retention time.
B) Both topics have the same key and partitioning strategy.
C) Both topics have the same value schema.
D) Both topics have the same number of partitions.
3. Your company has three Kafka clusters: Development, Testing, and Production.
The Production cluster is running out of storage, so you add a new node.
Which two statements about the new node are true?
(Select two.)
A) A newly added node will have KRaft controller role by default.
B) A new node can be added without stopping existing cluster nodes.
C) A new node will not have any partitions assigned to it unless a new topic is created or reassignment occurs.
D) A node ID will be assigned to the new node automatically.
4. You have a consumer group with default configuration settings reading messages from your Kafka cluster.
You need to optimize throughput so the consumer group processes more messages in the same amount of time.
Which change should you make?
A) Disable auto commit and have the consumers manually commit offsets.
B) Increase the number of bytes the consumers read with each fetch request.
C) Decrease the session timeout of each consumer.
D) Remove some consumers from the consumer group.
5. (You create a topic with five partitions.
What can you assume about messages read from that topic by a single consumer group?)
A) The consumer group can only read the same number of messages from all the partitions.
B) All messages will be read from exactly one broker by the consumer group.
C) Messages from one partition can be consumed by any of the consumers in a group for faster processing.
D) Messages can be consumed by a maximum of five consumers in the same consumer group.
Solutions:
| Question # 1 Answer: A,C | Question # 2 Answer: B,D | Question # 3 Answer: B,C | Question # 4 Answer: B | Question # 5 Answer: D |







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