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The CCDAK Certification Exam covers a wide range of topics, including Kafka architecture, configuration, security, performance tuning, and troubleshooting. CCDAK exam consists of multiple-choice questions, and passing the exam requires a thorough understanding of Kafka concepts and hands-on experience working with Kafka APIs and tools. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is a rigorous process that requires preparation and dedication, but it can be a valuable asset for developers who want to demonstrate their Kafka expertise and advance their careers.

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Confluent CCDAK Certification Exam is intended for developers who want to demonstrate their expertise in Kafka development and Confluent platform. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is designed for developers who have a solid understanding of Java programming language, Kafka architecture, and Kafka development using Confluent platform. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is ideal for developers who want to enhance their career prospects by demonstrating their skills and knowledge in Kafka development using Confluent platform.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q62-Q67):

NEW QUESTION # 62
You are running a Kafka Streams application in a Docker container managed by Kubernetes, and upon application restart, it takes a long time for the docker container to replicate the state and get back to processing the dat a. How can you improve dramatically the application restart?

Answer: B

Explanation:
Although any Kafka Streams application is stateless as the state is stored in Kafka, it can take a while and lots of resources to recover the state from Kafka. In order to speed up recovery, it is advised to store the Kafka Streams state on a persistent volume, so that only the missing part of the state needs to be recovered.


NEW QUESTION # 63
You are composing a REST request to create a new connector in a running Connect cluster. You invoke POST /connectors with a configuration and receive a 409 (Conflict) response.
What are two reasons for this response? (Select two.)

Answer: A,D

Explanation:
A409 Conflictresponse in Kafka Connect REST API usually means:
* The connector name provided already exists (i.e., a connector with that name is already deployed).
* The Kafka Connect cluster is temporarily unavailable to accept new tasks due toa rebalance in progress.
From theConfluent Developer documentationand Kafka Connect REST API spec:
"409 - Conflict. The connector name is already in use or the worker group is in the process of rebalancing and cannot complete the request at this time." Option A is incorrect because invalid configurations return400 Bad Request, not 409.
Option B is invalid because Kafka Connect does not have a strict concept of "capacity" that prevents connector creation with a 409.
Reference:Apache Kafka Connect REST API documentation


NEW QUESTION # 64
How can you gracefully make a Kafka consumer to stop immediately polling data from Kafka and gracefully shut down a consumer application?

Answer: A

Explanation:
See https://stackoverflow.com/a/37748336/3019499


NEW QUESTION # 65
(You need to send a JSON message on the wire. The message key is a string.
How would you do this?)

Answer: D

Explanation:
According to the Apache Kafka producer documentation, serialization is configured independently for message keys and values. The key and value can use different serializers depending on their data types.
In this scenario, the message key is a string, so the producer must be configured with org.apache.kafka.
common.serialization.StringSerializer for the key. The value contains JSON, so a suitable JSON serializer must be configured for the value, such as a custom JSON serializer, a library-based serializer, or a byte-array serializer after converting the JSON to bytes.
Option B correctly reflects this separation by specifying a string serializer for the key and a JSON serializer for the value. Kafka does not automatically infer serializers, and setting a serializer to null is invalid.
Additionally, there is no built-in "JSON" serializer for keys, making Option D incorrect.
Therefore, the correct approach-fully aligned with Kafka's producer configuration model-is to explicitly configure a StringSerializer for the key and a JSON-capable serializer for the value.


NEW QUESTION # 66
You have an existing topic t1 with four partitions.
Which statement is correct about changing the number of partitions for this topic?

Answer: D


NEW QUESTION # 67
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