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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Kafka Connect | 10-15% | - Offset Management in Connect - Connector Configuration - Connect Architecture (Workers, Connectors, Tasks) - Source and Sink Connectors - Converters and Transforms - Single Message Transformations (SMT) |
| Topic 2: Kafka Fundamentals | 10-15% | - Brokers and Clusters - Producer and Consumer Basics - Replication Factor and ISR - Topics, Partitions, and Offsets - Log Segments and Retention |
| Topic 3: Kafka Streams | 20-25% | - Testing Kafka Streams Applications - Interactive Queries - Streams Architecture and Topology - Exactly-Once Processing - Transformation Operations (map, filter, join, aggregate) - Windowed Operations (Tumbling, Hopping, Session) - State Stores and Processors |
| Topic 4: Schema Management | 5-10% | - Schema Registration and Retrieval - Schema Registry Architecture - Schema Evolution and Compatibility - Protobuf and JSON Schemas - Avro Schemas |
| Topic 5: Developing with Kafka Consumers | 15-20% | - Multi-threaded Consumers - Deserialization - Consumer Interceptors - Consumer Groups and Rebalancing - Offset Management - Commit Strategies (Auto, Manual, Cooperative) - Consumer Configuration and Tuning |
| Topic 6: Monitoring and Operations | 5-10% | - Consumer Lag and Health Checks - Disaster Recovery - Kafka Metrics and Monitoring - Cross-region Replication - Log Compaction |
| Topic 7: Developing with Kafka Producers | 15-20% | - Idempotent Producers - Exactly-Once Semantics - Partitioning Strategies - Producer Interceptors - Producer Configuration and Tuning - Serialization (JSON, Avro, Protobuf) - Error Handling and Retry Logic |
| Topic 8: Installing and Configuring Kafka | 5-10% | - Topic Creation and Configuration - Partition Assignment Strategies - Broker Configuration Parameters - ZooKeeper vs KRaft Mode |
| Topic 9: Security | 5-10% | - Authorization (ACLs) - Securing Schema Registry - Authentication (SASL, SSL/TLS) - Encryption in Transit |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. (You create an Orders topic with 10 partitions.
The topic receives data at high velocity.
Your Kafka Streams application initially runs on a server with four CPU threads.
You move the application to another server with 10 CPU threads to improve performance.
What does this example describe?)
A) Vertical Scaling
B) Plain Scaling
C) Scaling Out
D) Horizontal Scaling
2. Which two statements are correct when assigning partitions to the consumers in a consumer group using the assign() API?
(Select two.)
A) It is mandatory to subscribe to a topic before calling assign() to assign partitions.
B) The consumer group will not be rebalanced if a consumer leaves the group.
C) The consumer chooses which partition to read without any assignment from brokers.
D) All topics must have the same number of partitions to use assign() API.
3. You have a topic with four partitions. The application reads from it using two consumers in a single consumer group.
Processing is CPU-bound, and lag is increasing.
What should you do?
A) Decrease the max.poll.records property of consumers.
B) Increase the max.poll.records property of consumers.
C) Add more consumers to increase the level of parallelism of the processing.
D) Add more partitions to the topic to increase the level of parallelism of the processing.
4. This schema excerpt is an example of which schema format?
package com.mycorp.mynamespace;
message SampleRecord {
int32 Stock = 1;
double Price = 2;
string Product_Name = 3;
}
A) Avro
B) JSON Schema
C) Protobuf
D) YAML
5. (Which configuration determines the maximum number of records a consumer can poll in a single call to poll()?)
A) max.records.consumer
B) max.poll.records
C) fetch.max.records
D) max.poll.records.interval
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B,C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: B |








