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Confluent CCDAK Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Kafka Ecosystem and Confluent Platform | - ksqlDB and connectors
|
| Kafka Producers and Consumers | - Consumer API
|
| Kafka Streams and Processing | - Kafka Streams API
|
| Kafka Fundamentals | - Data flow in Kafka
|
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions:
(You create an Orders topic with 10 partitions.
The topic receives data at high velocity.
Your Kafka Streams application initially runs on a server with four CPU threads.
You move the application to another server with 10 CPU threads to improve performance.
What does this example describe?)
- A. Horizontal Scaling
- B. Scaling Out
- C. Vertical Scaling
- D. Plain Scaling
Correct Answer: C 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
(You are experiencing low throughput from a Java producer.
Kafka producer metrics show a low I/O thread ratio and low I/O thread wait ratio.
What is the most likely cause of the slow producer performance?)
- A. There is a bad data link layer (Layer 2) connection from the producer to the cluster.
- B. Compression is enabled.
- C. The producer code has an expensive callback function.
- D. The producer is sending large batches of messages.
Correct Answer: C 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
(A stream processing application tracks user activity in online shopping carts, including items added, removed, and ordered throughout the day for each user.
You need to capture data to identify possible periods of user inactivity.
Which type of Kafka Streams window should you use?)
- A. Session
- B. Sliding
- C. Tumbling
- D. Hopping
Correct Answer: A 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
Match the testing tool with the type of test it is typically used to perform.
Reveal Solution Discussion 0Correct Answer:
Explanation:
Unit Testing # MockProducer
Integration Testing # Testcontainers
Performance Testing # Trogdor
Mock Data Generation # Connect Datagen
MockProducer: Simulates a Kafka producer in unit tests (no real broker interaction).
Testcontainers: Spawns Kafka in Docker for real environment testing.
Trogdor: Kafka's built-in performance load testing framework.
Connect Datagen: Creates sample source records for test and demo purposes.
From Kafka Developer Tools Guide:
"Kafka developers commonly use MockProducer for unit tests, Testcontainers for integration, and Trogdor for performance tests." Reference: Kafka Testing and Tools Overview
You use Kafka Connect with the JDBC source connector to extract data from a large database and push it into Kafka.
The database contains tens of tables, and the current connector is unable to process the data fast enough.
You add more Kafka Connect workers, but throughput doesn't improve.
What should you do next?
- A. Modify the database schemas to enable horizontal sharding.
- B. Increase the number of Kafka partitions for the topics.
- C. Add more Kafka brokers to the cluster.
- D. Increase the value of the connector's property tasks.max.
Correct Answer: D 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
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