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Confluent CCDAK Exam Syllabus Topics:

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

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The Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) certification is a valuable credential that every Confluent professional should earn it. The Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) certification exam offers a great opportunity for beginners and experienced professionals to demonstrate their expertise. With the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) certification exam everyone can upgrade their skills and knowledge. There are other several benefits that the Confluent CCDAK exam holders can achieve after the success of the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) certification exam.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q53-Q58):

NEW QUESTION # 53
Match the topic configuration setting with the reason the setting affects topic durability.
(You are given settings like unclean.leader.election.enable=false, replication.factor, min.insync.replicas=2)

Answer:

Explanation:

* unclean.leader.election.enable=false# Prevents data loss by only considering in-sync replicas when rebalancing.
* replication.factor# Specifies how many redundant copies of partitions are distributed across brokers.
* min.insync.replicas=2# Sets the standard for the number of partition instances that must keep up with the latest committed message.
* unclean.leader.election.enable=false ensures that onlyin-sync replicascan be elected as leaders. If disabled, an out-of-sync replica may become leader, potentially leading to data loss.
* replication.factor defineshow many brokerswill maintain copies of each partition, directly impacting durability and availability.
* min.insync.replicas determineshow many replicas must acknowledgea write when acks=all is used, enforcing write durability.
Reference:Apache Kafka Topic Configuration Documentation

NEW QUESTION # 54
How would you describe a connector in ksqlDB?

A. DESCRIBE connector_name CONNECTOR;
B. DROP CONNECTOR [IF EXISTS] connector_name;
C. DESCRIBE CONNECTOR connector_name;
D. DESCRIBE ip_sum EXTENDED;

Answer: C

NEW QUESTION # 55
To allow consumers in a group to resume at the previously committed offset, I need to set the proper value for...

A. group.id
B. auto.offset.resets
C. value.deserializer
D. enable.auto.commit

Answer: A

Explanation:
Setting a group.id that's consistent across restarts will allow your consumers part of the same group to resume reading from where offsets were last committed for that group

NEW QUESTION # 56
Select the Kafka Streams joins that are always windowed joins.

A. KStream-GlobalKTable
B. KTable-KTable join
C. KStream-KStream join
D. KStream-KTable join

Answer: C

Explanation:
Seehttps://docs.confluent.io/current/streams/developer-guide/dsl-api.html#joining

NEW QUESTION # 57
Which message delivery semantic is guaranteed by Kafka Connect?

A. At most once
B. At least once
C. Exactly once

Answer: B

NEW QUESTION # 58
......

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