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Confluent CCDAK Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Kafka Fundamentals | 23% | - Kafka architecture and data flow - Configuration basics and cluster setup - Core concepts: brokers, topics, partitions, replicas, offsets - Delivery semantics: at-most-once, at-least-once, exactly-once |
| Apache Kafka Application Development | 28% | - Schema management: Confluent Schema Registry, compatibility rules, evolution - Producer API: configuration, serialization, partitioning, error handling - Transactional messaging and idempotence - Consumer API: configuration, offset management, consumer groups, rebalancing |
| Application Testing | 8% | - Mocking and test utilities - Integration testing and test clusters - Unit testing producers and consumers |
| Kafka Connect | 15% | - Data transformation and integration patterns - Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters |
| Application Observability | 13% | - Logging and monitoring metrics - Tracing and performance tuning - Error diagnosis and troubleshooting |
| Apache Kafka Streams | 12% | - Streams API concepts: topology, processors, state stores - Windowing and time semantics - Stream processing operations: map, filter, join, aggregation - Error handling and state management |
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
1. (Your configuration parameters for a Source connector and Connect worker are:
* offset.flush.interval.ms=60000
* offset.flush.timeout.ms=500
* offset.storage.topic=connect-offsets
* offset.storage.replication.factor=-1
Which two statements match the expected behavior?
Select two.)
A) The offsets topic will use the broker default replication factor.
B) The connector will commit offsets to a topic called connect-offsets.
C) The connector will wait 500 ms before trying to commit offsets for tasks.
D) The connector will commit offsets to the broker default offsets topic.
2. Your company has three Kafka clusters: Development, Testing, and Production.
The Production cluster is running out of storage, so you add a new node.
Which two statements about the new node are true?
(Select two.)
A) A new node can be added without stopping existing cluster nodes.
B) A newly added node will have KRaft controller role by default.
C) A new node will not have any partitions assigned to it unless a new topic is created or reassignment occurs.
D) A node ID will be assigned to the new node automatically.
3. (You want to enrich the content of a topic by joining it with key records from a second topic.
The two topics have a different number of partitions.
Which two solutions can you use?
Select two.)
A) Create as many Kafka Streams application instances as the maximum number of partitions of the two topics and use a KStream-KTable join.
B) Repartition one topic to a new topic with the same number of partitions as the other topic (co- partitioning constraint) and use a KStream-KTable join.
C) Use a GlobalKTable for one of the topics where data does not change frequently and use a KStream- GlobalKTable join.
D) Use a KStream-KTable join; Kafka Streams will automatically repartition the topics to satisfy the co- partitioning constraint.
4. Which configuration allows more time for the consumer poll to process records?
A) heartbeat.interval.ms
B) max.poll.interval.ms
C) fetch.max.wait.ms
D) session.timeout.ms
5. You are building a system for a retail store selling products to customers.
Which three datasets should you model as a GlobalKTable?
(Select three.)
A) Catalog of products
B) Customer profile information
C) Inventory of products at a warehouse
D) Log of payment transactions
E) All purchases at a retail store occurring in real time
Solutions:
| Question # 1 Answer: A,B | Question # 2 Answer: A,C | Question # 3 Answer: B,C | Question # 4 Answer: B | Question # 5 Answer: A,B,C |
