Confluent CCDAK Exam Details & Actual Exam Questions

  • Exam Code/Number: CCDAK
  • Exam Name/Title: Confluent Certified Developer for Apache Kafka Certification Examination
  • Certification Provider: Confluent
  • Corresponding Certification: Confluent Certified Developer
  • Exam Questions: 92
  • Updated On: Jul,13 2026
  • Certification Level: Intermediate / Professional

Confluent Certified Developer for Apache Kafka Certification Examination Exam Questions

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Confluent CCDAK Exam Overview:

Certification Vendor:Confluent
Exam Name:Confluent Certified Developer for Apache Kafka Certification Examination
Exam Number:CCDAK
Passing Score:Pass / Fail
Related Certifications:Confluent Certified Administrator for Apache Kafka (CCAAK)
Confluent Cloud Certified Operator (CCAC)
Real Exam Qty:60
Exam Duration:90 minutes
Exam Price:$150 USD
Available Languages:English
Certificate Validity Period:2 years
Exam Format:Multiple-choice, Matching, List order
Sample Questions:Confluent CCDAK Sample Questions
Exam Way:Remote proctored online exam; requires webcam, microphone, Google Chrome browser
Pre Condition:No mandatory prerequisites; recommended experience: 6+ months developing applications with Apache Kafka
Official Syllabus URL:https://www.confluent.io/certification/

Confluent CCDAK Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Kafka Connect15%- Data transformation and integration patterns
- Connect architecture: workers, connectors, tasks, converters
- Source and sink connectors configuration
Topic 2: Application Testing8%- Mocking and test utilities
- Unit testing producers and consumers
- Integration testing and test clusters
Topic 3: Apache Kafka Application Development28%- Consumer API: configuration, offset management, consumer groups, rebalancing
- Schema management: Confluent Schema Registry, compatibility rules, evolution
- Producer API: configuration, serialization, partitioning, error handling
- Transactional messaging and idempotence
Topic 4: Apache Kafka Streams12%- Error handling and state management
- Windowing and time semantics
- Stream processing operations: map, filter, join, aggregation
- Streams API concepts: topology, processors, state stores
Topic 5: Apache Kafka Fundamentals23%- Kafka architecture and data flow
- Delivery semantics: at-most-once, at-least-once, exactly-once
- Configuration basics and cluster setup
- Core concepts: brokers, topics, partitions, replicas, offsets
Topic 6: Application Observability13%- Tracing and performance tuning
- Error diagnosis and troubleshooting
- Logging and monitoring metrics


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