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Confluent Certified Developer for Apache Kafka (CCDAK)

The Confluent Certified Developer for Apache Kafka exam assesses the most critical job activities that an Apache Kafka Developer performs.The skills and knowledge certified by this examination represent a level of expertise where a Certified Developer can publish data to and subscribe to data from an Apache Kafka cluster. Passing the examination demonstrates the candidate is proficient as a Kafka Developer, is able to discuss core Kafka architectural concepts and understands Kafka's role in the modern data distribution pipeline.CCDAK covers Confluent and Apache Kafka with a particular focus on knowledge of the platform needed in order to develop applications that work with Kafka. This includes general knowledge of Kafka features and architecture, designing, monitoring, and troubleshooting in the context of Kafka, and development of custom applications that use Kafka's APIs. 

Exam Details

The exam consists of 60 multiple choice questions in 90 minutes, costs $150 and can be taken on demand under remote proctored conditions. After passing the exam, the certification is valid for two years. Test item formats used in this examination are Multiple-choice and Multiple-response. Completing the certification helped you understand the different use cases for Kafka and solidify core concepts of streaming architectures in my mind.

Exam Objectives

Application Design - 40%

• Kafka's command-line tools
• Pub/Sub and streaming concepts
• Kafka architecture and design decisions
• Kafka APIs, configuration and metrics
• Message structure, key selection (choices and factors) and metadata
• System metrics
• Schema management

Domain Development - 30%

• Kafka Clients: Producer and Consumer key concepts and functions
• Troubleshooting/debugging
• Performance, throughput, latency, scaling considerations
• Message ordering and delivery guarantees
• Serialisation/deserialisation
• Producer partition selection
• Consumer offset management
• Consumer groups, partition assignments, partition rebalances
• Data retention strategies and implications
• Topic co-partitioning

Deployment/Testing - 30%

• Application deployment choices
• Security
• Kafka Streams features and use cases
• KSQL features and use cases

View Online Confluent Certified Developer for Apache Kafka (CCDAK) Free Questions

Where are the dynamic configurations for a topic stored?
A. In Zookeeper
B. In an internal Kafka topic __topic_configuratins
C. In server.properties
D. On the Kafka broker file system
Answer: A

What happens when broker.rack configuration is provided in broker configuration in Kafka cluster?
A. You can use the same broker.id as long as they have different broker.rack configuration
B. Replicas for a partition are placed in the same rack
C. Replicas for a partition are spread across different racks
D. Each rack contains all the topics and partitions, effectively making Kafka highly available
Answer: C

What is the disadvantage of request/response communication?
A. Scalability
B. Reliability
C. Coupling
D. Cost
Answer: C

A kafka topic has a replication factor of 3 and min.insync.replicas setting of 2.
How many brokers can go down before a producer with acks=all can't produce?
A. 0
B. 2
C. 1
D. 3
Answer: C

Where are KSQL-related data and metadata stored?
A. Kafka Topics
B. Zookeeper
C. PostgreSQL database
D. Schema Registry
Answer: A

Where are the ACLs stored in a Kafka cluster by default?
A. Inside the broker's data directory
B. Under Zookeeper node /kafka-acl/
C. In Kafka topic __kafka_acls
D. Inside the Zookeeper's data directory
Answer: A