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Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Developing with Kafka Producers	15-20%	- Producer Configuration and Tuning - Exactly-Once Semantics - Error Handling and Retry Logic - Idempotent Producers - Producer Interceptors - Serialization (JSON, Avro, Protobuf) - Partitioning Strategies
Topic 2: Installing and Configuring Kafka	5-10%	- Broker Configuration Parameters - Partition Assignment Strategies - Topic Creation and Configuration - ZooKeeper vs KRaft Mode
Topic 3: Developing with Kafka Consumers	15-20%	- Multi-threaded Consumers - Consumer Interceptors - Consumer Groups and Rebalancing - Offset Management - Commit Strategies (Auto, Manual, Cooperative) - Deserialization - Consumer Configuration and Tuning
Topic 4: Kafka Fundamentals	10-15%	- Log Segments and Retention - Replication Factor and ISR - Brokers and Clusters - Topics, Partitions, and Offsets - Producer and Consumer Basics
Topic 5: Security	5-10%	- Encryption in Transit - Authorization (ACLs) - Securing Schema Registry - Authentication (SASL, SSL/TLS)
Topic 6: Monitoring and Operations	5-10%	- Consumer Lag and Health Checks - Disaster Recovery - Cross-region Replication - Kafka Metrics and Monitoring - Log Compaction
Topic 7: Kafka Connect	10-15%	- Converters and Transforms - Connector Configuration - Source and Sink Connectors - Connect Architecture (Workers, Connectors, Tasks) - Single Message Transformations (SMT) - Offset Management in Connect
Topic 8: Schema Management	5-10%	- Schema Registry Architecture - Protobuf and JSON Schemas - Schema Registration and Retrieval - Avro Schemas - Schema Evolution and Compatibility
Topic 9: Kafka Streams	20-25%	- Testing Kafka Streams Applications - Exactly-Once Processing - State Stores and Processors - Streams Architecture and Topology - Transformation Operations (map, filter, join, aggregate) - Interactive Queries - Windowed Operations (Tumbling, Hopping, Session)

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q24-Q29):

NEW QUESTION # 24
There are 3 brokers in the cluster. You want to create a topic with a single partition that is resilient to one broker failure and one broker maintenance. What is the replication factor will you specify while creating the topic?

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

Answer: C

Explanation:
1 is not possible as it doesn't provide resilience to failure, 2 is not enough as if we take a broker down for maintenance, we cannot tolerate a broker failure, and 6 is impossible as we only have 3 brokers (RF cannot be greater than the number of brokers). Here the correct answer is 3

NEW QUESTION # 25
Using the Confluent Schema Registry, where are Avro schema stored?

A. In the Schema Registry embedded SQL database
B. In the Zookeeper node /schemas
C. In the message bytes themselves
D. In the _schemas topic

Answer: D

Explanation:
The Schema Registry stores all the schemas in the _schemas Kafka topic

NEW QUESTION # 26
Which configuration is used to determine which directory the connectors are stored in?

A. plugin.path
B. offset.storage.topic
C. status.storage.topic
D. group.id

Answer: A

NEW QUESTION # 27
What is true about partitions? (select two)

A. A broker can have a partition and its replica on its disk
B. A partition has one replica that is a leader, while the other replicas are followers
C. Only out of sync replicas are replicas, the remaining partitions that are in sync are also leader
D. A broker can have different partitions numbers for the same topic on its disk
E. You cannot have more partitions than the number of brokers in your cluster

Answer: B,D

Explanation:
Only one of the replicas is elected as partition leader. And a broker can definitely hold many partitions from the same topic on its disk, try creating a topic with 12 partitions on one broker!

NEW QUESTION # 28
The Controller is a broker that is... (select two)

A. elected by Zookeeper ensemble
B. is responsible for partition leader election
C. is responsible for consumer group rebalances
D. elected by broker majority

Answer: A,B

Explanation:
Controller is a broker that in addition to usual broker functions is responsible for partition leader election. The election of that broker happens thanks to Zookeeper and at any time only one broker can be a controller

NEW QUESTION # 29
......

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