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The Confluent CCDAK exam covers essential concepts such as Kafka clusters and components, key Kafka APIs, Kafka Connect and Streams API, Kafka Security, and Kafka Monitoring. It also evaluates candidates on their ability to configure and tune various Kafka components, build data streams processing applications using Kafka Streams API, and integrate Kafka with other data systems.

The CCDAK certification exam covers a range of topics related to Kafka-based solutions, including Kafka architecture, basic and advanced Kafka APIs, Kafka Streams, Kafka Connect, and Kafka security. CCDAK Exam is designed to test the ability of the developer to design and implement a Kafka-based solution that meets the requirements of a given use case, as well as troubleshoot and optimize Kafka-based solutions.

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To prepare for the CCDAK Certification examination, candidates must have a solid understanding of Kafka's architecture, design principles, and implementation details. They must also have experience working with Kafka in a production environment. Confluent offers a range of training courses and resources that can help candidates prepare for the exam. These courses cover topics such as Kafka architecture, Kafka Streams, Kafka Connect, and Kafka security.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q12-Q17):

NEW QUESTION # 12
Select the Kafka Streams joins that are always windowed joins.

Answer: C

Explanation:
Seehttps://docs.confluent.io/current/streams/developer-guide/dsl-api.html#joining


NEW QUESTION # 13
You are building a system for a retail store selling products to customers.
Which three datasets should you model as a GlobalKTable?
(Select three.)

Answer: C,D,E

Explanation:
AGlobalKTableis a replicated, read-only table available in full on all instances. It's best forreference or lookup datasetssuch as:
* Product catalog
* Customer profiles
* Warehouse inventory
FromKafka Streams Developer Guide:
"Use GlobalKTable when you need to perform joins using non-partition-aligned reference data that's small enough to replicate."
* Purchases and transactions are high-throughput, time-sensitive streams, not static reference data.
Reference:Kafka Streams Concepts > GlobalKTable


NEW QUESTION # 14
Match the testing tool with the type of test it is typically used to perform.

Answer:

Explanation:

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


NEW QUESTION # 15
You have a Zookeeper cluster that needs to be able to withstand the loss of 2 servers and still be able to function. What size should your Zookeeper cluster have?

Answer: D

Explanation:
Your Zookeeper cluster needs to have an odd number of servers, and must maintain a majority of servers up to be able to vote. Therefore, a 2N+1 zookeeper cluster can survive to N zookeeper being down, so here the right answer is N=2, 2*N+1=5


NEW QUESTION # 16
A consumer application runs once a week and reads from a Kafka topic. The last time the application ran, the last offset processed was 217. The application is configured with auto.offset.reset set to "latest". The current offsets in the topic start at 318 and end at 588.
What offset will the application start reading when it starts up for its next run?

Answer: B


NEW QUESTION # 17
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