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CCDAK test Format | CCDAK Course Contents | CCDAK Course Outline | CCDAK test Syllabus | CCDAK test Objectives

Exam Code: CCDAK

Exam Name: Confluent CCDAK Confluent Certified Developer for Apache Kafka

Number of questions: ~60 questions (multiple-choice and scenario-based)

Exam duration: 90 minutes (1 hour 30 minutes)

Passing Marks: ~70-75%

Format: Multiple choice (and possibly multiple response/scenario questions)

Proctoring: Remote proctor or testing center (webcam required)



Introductory Concepts

- Write code to connect to a Kafka cluster

- Distinguish between leaders and followers and work with replicas

- Explain what a segment is and explore retention

- Use the CLI to work with topics, producers, and consumers



Working with Producers



- Describe the work a producer performs, and the core components needed to produce messages

- Create producers and specify configuration properties

- Explain how to configure producers to know that Kafka receives messages

- Delve into how batching works and explore batching configurations

- Explore reacting to failed delivery and tuning producers with timeouts

- Use the APIs for Java, C#/.NET, or Python to create a Producer



Consumers, Groups, and Partitions



- Create and manage consumers and their property files

- Illustrate how consumer groups and partitions provide scalability and fault tolerance

- Explore managing consumer offsets

- Tune fetch requests

- Explain how consumer groups are managed and their benefits

- Compare and contrast group management strategies and when you might use each

- Use the API for Java, C#/.NET, or Python to create a Consumer



Schemas and the Confluent Schema Registry



- Describe Kafka schemas and how they work

- Write an Avro compatible schema and explore using Protobuf and JSON schemas

- Write schemas that can evolve

- Write and read messages using schema-enabled Kafka client applications

- Using Avro, the API for Java, C#/.NET, or Python, write a schema-enabled producer or consumer that leverages the Confluent Schema Registry



Streaming and Kafka Streams



- Develop an appreciation for what streaming applications can do for you back on the job

- Describe Kafka Streams and explore steams properties and topologies

- Compare and contrast steams and tables, and relate events in streams to records/messages in topics

- Write an application using the Streams DSL (Domain-Specific Language)



Introduction to Confluent ksqlDB



- Describe how Kafka Streams and ksqlDB relate

- Explore the ksqlDB CLI

- Use ksqlDB to filter and transform data

- Compare and contrast types of ksqlDB queries

- Leverage ksqlDB to perform time-based stream operations

- Write a ksqlDB query that relates data between two streams or a stream and a table Kafka Connect

- List some of the components of Kafka Connect and describe how they relate

- Set configurations for components of Kafka Connect

- Describe connect integration and how data flows between applications and Kafka

- Explore some use-cases where Kafka Connect makes development efficient

- Use Kafka Connect in conjunction with other tools to process data in motion in the most efficient way

- Create a Connector and import data from a database to a Kafka cluster



Design Decisions and Considerations



- Delve into how compaction affects consumer offsets

- Explore how consumers work with offsets in scenarios outside of normal processing behavior and understand how to manipulate offsets to deal with anomalies

- Evaluate decisions about consumer and partition counts and how they relate

- Address decisions that arise from default key-based partitioning and consider alternative partitioning strategies

- Configure producers to deliver messages without duplicates and with ordering guarantees

- List ways to manage large message sizes

- Describe how to work with messages in transactions and how Kafka enables transactions



Robust Development



- Compare and contrast error handling options with Kafka Connect, including the dead letter queue

- Distinguish between various categories of testing

- List considerations for stress and load test a Kafka system

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