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Last Updated: Oct 25, 2026
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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Kafka Streams | 12% | - Streams API concepts: topology, processors, state stores - Error handling and state management - Stream processing operations: map, filter, join, aggregation - Windowing and time semantics |
| Apache Kafka Application Development | 28% | - Transactional messaging and idempotence - Consumer API: configuration, offset management, consumer groups, rebalancing - Producer API: configuration, serialization, partitioning, error handling - Schema management: Confluent Schema Registry, compatibility rules, evolution |
| Application Observability | 13% | - Tracing and performance tuning - Error diagnosis and troubleshooting - Logging and monitoring metrics |
| Apache Kafka Fundamentals | 23% | - Kafka architecture and data flow - Configuration basics and cluster setup - Core concepts: brokers, topics, partitions, replicas, offsets - Delivery semantics: at-most-once, at-least-once, exactly-once |
| Application Testing | 8% | - Unit testing producers and consumers - Integration testing and test clusters - Mocking and test utilities |
| Kafka Connect | 15% | - Connect architecture: workers, connectors, tasks, converters - Data transformation and integration patterns - Source and sink connectors configuration |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
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. YAML
- C. JSON Schema
- D. Protobuf
Correct Answer: D 🗳️
Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).
Which two statements about Kafka Connect Single Message Transforms (SMTs) are correct?
(Select two.)
- A. Multiple SMTs can be chained together and act on source or sink messages.
- B. SMT functionality is included within Kafka Connect converters.
- C. SMTs are often used to join multiple records from a source data system into a single Kafka record.
- D. Masking data is a good example of an SMT.
Correct Answer: A,D 🗳️
Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).
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)
Correct 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 only in-sync replicas can be elected as leaders. If disabled, an out-of-sync replica may become leader, potentially leading to data loss.
replication.factor defines how many brokers will maintain copies of each partition, directly impacting durability and availability.
min.insync.replicas determines how many replicas must acknowledge a write when acks=all is used, enforcing write durability.
Reference: Apache Kafka Topic Configuration Documentation
(You are building real-time streaming applications using Kafka Streams.
Your application has a custom transformation.
You need to define custom processors in Kafka Streams.
Which tool should you use?)
- A. TopologyTestDriver
- B. Processor API
- C. Kafka Streams Custom Transformation Language
- D. Kafka Streams Domain Specific Language (DSL)
Correct Answer: B 🗳️
Explanation: Only visible for TestSimulate members. You can sign-up / login (it's free).
Which two statements are correct about transactions in Kafka?
(Select two.)
- A. Transactions guarantee at least once delivery of messages.
- B. Information about producers and their transactions is stored in the _transaction_state topic.
- C. Consumers can consume both committed and uncommitted transactions.
- D. Transactions are only possible when writing messages to a topic with single partition.
- E. All messages from a failed transaction will be deleted from a Kafka topic.
Correct Answer: B,C 🗳️
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