Confluent CCDAK Exam Questions 2026 - Instant Access, just revised

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Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Apache Kafka Application Development	28%	- Consumer API: configuration, offset management, consumer groups, rebalancing - Producer API: configuration, serialization, partitioning, error handling - Schema management: Confluent Schema Registry, compatibility rules, evolution - Transactional messaging and idempotence
Topic 2: Apache Kafka Streams	12%	- Windowing and time semantics - Stream processing operations: map, filter, join, aggregation - Error handling and state management - Streams API concepts: topology, processors, state stores
Topic 3: Application Observability	13%	- Logging and monitoring metrics - Tracing and performance tuning - Error diagnosis and troubleshooting
Topic 4: Application Testing	8%	- Mocking and test utilities - Unit testing producers and consumers - Integration testing and test clusters
Topic 5: Apache Kafka Fundamentals	23%	- Delivery semantics: at-most-once, at-least-once, exactly-once - Kafka architecture and data flow - Core concepts: brokers, topics, partitions, replicas, offsets - Configuration basics and cluster setup
Topic 6: Kafka Connect	15%	- Connect architecture: workers, connectors, tasks, converters - Data transformation and integration patterns - Source and sink connectors configuration

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Confluent Certified Developer for Apache Kafka Certification Examination practice certkingdom dumps & CCDAK pdf training torrent

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q67-Q72):

NEW QUESTION # 67
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 producer will stop working
B. The producer will automatically produce to the broker that has been elected leader
C. The topic will be unavailable

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 # 68
Which two statements are correct when assigning partitions to the consumers in a consumer group using the assign() API?
(Select two.)

A. All topics must have the same number of partitions to use assign() API.
B. The consumer chooses which partition to read without any assignment from brokers.
C. It is mandatory to subscribe to a topic before calling assign() to assign partitions.
D. The consumer group will not be rebalanced if a consumer leaves the group.

Answer: B,D

Explanation:
Using assign() givesmanual controlover partition assignment. In this mode:
* B is true: The applicationchooses partitionsdirectly without involving the group coordinator.
* C is true: Since no group coordination occurs,no rebalancinghappens if a consumer dies.
FromKafka Consumer API Docs:
"assign() manually assigns a list of partitions to this consumer. No coordination takes place and no rebalancing is triggered."
* A is false: subscribe() and assign() aremutually exclusive.
* D is incorrect: Partitions don't need to be equal across topics.
Reference:Kafka Consumer Java API > assign() and subscribe()

NEW QUESTION # 69
You are sending messages with keys to a topic. To increase throughput, you decide to increase the number of partitions of the topic. Select all that apply.

A. New records may get written to a different partition
B. New records with the same key will get written to the partition where old records with that key were written
C. All the existing records will get rebalanced among the partitions to balance load
D. Old records will stay in their partitions

Answer: A,D

Explanation:
Increasing the number of partition causes new messages keys to get hashed differently, and breaks the guarantee "same keys goes to the same partition". Kafka logs are immutable and the previous messages are not re-shuffled

NEW QUESTION # 70
There are 3 producers writing to a topic with 5 partitions. There are 10 consumers consuming from the topic as part of the same group. How many consumers will remain idle?

A. 0
B. None
C. 1
D. 2

Answer: A

Explanation:
One consumer per partition assignment will keep 5 consumers idle.

NEW QUESTION # 71
There are 3 producers writing to a topic with 5 partitions. There are 5 consumers consuming from the topic.
How many Controllers will be present in the cluster?

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

Answer: D

Explanation:
There is only one controller in a cluster at all times.

NEW QUESTION # 72
......

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