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The CCDAK exam mainly focuses on Kafka core concepts and API usage, including Kafka architecture, topics, partitions, replication, and the Kafka producer and consumer API. Kafka Connect and Kafka Streams API are two important components of the Kafka ecosystem, and candidates have to demonstrate their proficiency in these areas too. The Kafka Connect API is used for building connectors that transfer data between Kafka and other data sources, while the Kafka Streams library is used for stream processing in Kafka.
Confluent CCDAK Exam Overview:
| Certification Vendor: | Confluent |
| Exam Name: | Confluent Certified Developer for Apache Kafka Certification Examination |
| Exam Number: | CCDAK |
| Related Certifications: | Confluent Certified Administrator for Apache Kafka (CCAAK) |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Passing Score: | Approximately 60% |
| Exam Format: | Multiple Choice (Single Answer), Multiple Choice (Multiple Answers) |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 60 |
| Exam Price: | $150 USD |
| Sample Questions: | Confluent CCDAK Sample Questions |
| Exam Way: | Online proctored exam (Pearson VUE) or in-person testing center |
| Pre Condition: | Recommended: 6+ months of hands-on experience with Apache Kafka and Confluent Platform. Familiarity with distributed systems concepts is strongly recommended. |
| Official Syllabus URL: | https://www.confluent.io/certification/ |
Confluent Certified Developer for Apache Kafka (CCDAK) certification examination is a comprehensive test designed to evaluate the proficiency of developers in designing, building, and deploying Apache Kafka-based applications using Confluent's platform. CCDAK exam is a rigorous assessment of the candidate's knowledge and skills, covering various topics such as Kafka architecture, data modeling, stream processing, and security.
Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Kafka Streams | 20-25% | - Exactly-Once Processing - State Stores and Processors - Streams Architecture and Topology - Interactive Queries - Windowed Operations (Tumbling, Hopping, Session) - Transformation Operations (map, filter, join, aggregate) - Testing Kafka Streams Applications |
| Developing with Kafka Producers | 15-20% | - Partitioning Strategies - Idempotent Producers - Serialization (JSON, Avro, Protobuf) - Producer Interceptors - Error Handling and Retry Logic - Producer Configuration and Tuning - Exactly-Once Semantics |
| Monitoring and Operations | 5-10% | - Consumer Lag and Health Checks - Disaster Recovery - Log Compaction - Cross-region Replication - Kafka Metrics and Monitoring |
| Installing and Configuring Kafka | 5-10% | - Partition Assignment Strategies - Broker Configuration Parameters - ZooKeeper vs KRaft Mode - Topic Creation and Configuration |
| Security | 5-10% | - Authentication (SASL, SSL/TLS) - Securing Schema Registry - Encryption in Transit - Authorization (ACLs) |
| Kafka Fundamentals | 10-15% | - Log Segments and Retention - Topics, Partitions, and Offsets - Producer and Consumer Basics - Brokers and Clusters - Replication Factor and ISR |
| Developing with Kafka Consumers | 15-20% | - Multi-threaded Consumers - Consumer Configuration and Tuning - Consumer Interceptors - Deserialization - Commit Strategies (Auto, Manual, Cooperative) - Consumer Groups and Rebalancing - Offset Management |
| Schema Management | 5-10% | - Schema Registration and Retrieval - Schema Registry Architecture - Schema Evolution and Compatibility - Avro Schemas - Protobuf and JSON Schemas |
| Kafka Connect | 10-15% | - Connect Architecture (Workers, Connectors, Tasks) - Converters and Transforms - Source and Sink Connectors - Offset Management in Connect - Connector Configuration - Single Message Transformations (SMT) |
By Burnell
