To prepare for the Confluent CCDAK exam, developers can attend the Confluent Developer Training or take online courses, such as the Confluent Cloud Fundamentals for Developers course, which is available on Udemy. They can also refer to the official documentation and practice using Kafka clusters, producers, and consumers. There are also practice exams available online to help developers prepare for the certification exam.
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Confluent CCDAK Certification Exam covers a range of topics, including Kafka core concepts, producers and consumers, Kafka Streams, Kafka Connect, and security. CCDAK exam is designed to test a developer's understanding of Kafka architecture and best practices for building scalable and reliable Kafka applications. CCDAK exam is conducted online and consists of 60 multiple-choice questions that need to be answered in 90 minutes.
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The CCDAK certification exam is offered by Confluent, which is the company behind the popular open-source Apache Kafka project. CCDAK exam is designed to test developers' knowledge of Kafka concepts, including Kafka architecture, producers and consumers, message delivery semantics, and Kafka Streams. CCDAK exam is also designed to test developers' ability to build and manage Kafka clusters and write efficient Kafka applications.
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The Confluent CCDAK exam consists of 60 multiple-choice questions that must be completed within 90 minutes. The questions are designed to test the developer's knowledge of Kafka concepts and their ability to apply them in real-world scenarios. CCDAK exam is available online and can be taken from anywhere in the world. The cost of the exam is $300, and developers who pass will receive a digital badge and certificate that they can use to showcase their certification.
Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Schema Management | 5-10% | - Schema Registration and Retrieval - Protobuf and JSON Schemas - Schema Evolution and Compatibility - Avro Schemas - Schema Registry Architecture |
| Kafka Connect | 10-15% | - Single Message Transformations (SMT) - Source and Sink Connectors - Connector Configuration - Offset Management in Connect - Converters and Transforms - Connect Architecture (Workers, Connectors, Tasks) |
| Monitoring and Operations | 5-10% | - Cross-region Replication - Disaster Recovery - Kafka Metrics and Monitoring - Consumer Lag and Health Checks - Log Compaction |
| Kafka Streams | 20-25% | - State Stores and Processors - Windowed Operations (Tumbling, Hopping, Session) - Streams Architecture and Topology - Transformation Operations (map, filter, join, aggregate) - Testing Kafka Streams Applications - Interactive Queries - Exactly-Once Processing |
| Security | 5-10% | - Authorization (ACLs) - Authentication (SASL, SSL/TLS) - Securing Schema Registry - Encryption in Transit |
| Installing and Configuring Kafka | 5-10% | - Broker Configuration Parameters - Topic Creation and Configuration - ZooKeeper vs KRaft Mode - Partition Assignment Strategies |
| Kafka Fundamentals | 10-15% | - Topics, Partitions, and Offsets - Brokers and Clusters - Replication Factor and ISR - Producer and Consumer Basics - Log Segments and Retention |
| Developing with Kafka Consumers | 15-20% | - Offset Management - Multi-threaded Consumers - Consumer Groups and Rebalancing - Consumer Interceptors - Deserialization - Commit Strategies (Auto, Manual, Cooperative) - Consumer Configuration and Tuning |
| Developing with Kafka Producers | 15-20% | - Producer Interceptors - Producer Configuration and Tuning - Exactly-Once Semantics - Idempotent Producers - Partitioning Strategies - Serialization (JSON, Avro, Protobuf) - Error Handling and Retry Logic |
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