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Get 100% Pass Rate Certification CCDAK Dumps and Pass Exam in First Attempt

On each attempt, the Confluent CCDAK practice test questions taker will provide a score report. With this report, one can find mistakes and remove them for the final attempt. A situation that the web-based test creates is similar to the CCDAK Real Exam Questions. Practicing in this situation will help you kill Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) exam anxiety. The customizable feature of this format allows you to change the settings of the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) practice exam.

Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is an industry-recognized certification that enables professionals to demonstrate their understanding of Apache Kafka and its ecosystem. CCDAK examination is developed and administered by Confluent, a leading provider of Apache Kafka-based solutions. The CCDAK Certification is designed for developers who work with Apache Kafka and want to validate their skills and knowledge of the platform.

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The CCDAK exam covers a wide range of topics, including Kafka architecture, data modeling, stream processing, and security. CCDAK examination comprises multiple-choice questions and hands-on exercises that require the candidate to demonstrate their practical knowledge of Kafka. Successful completion of the CCDAK Exam certifies that the individual has the expertise to design, build, and maintain Kafka-based solutions, making them a valuable asset to any organization that uses Kafka for data processing and messaging.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q177-Q182):

NEW QUESTION # 177
You have a topic t1 with six partitions. You use Kafka Connect to send data from topic t1 in your Kafka cluster to Amazon S3. Kafka Connect is configured for two tasks.
How many partitions will each task process?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
When using Kafka Connect with sink connectors (like S3 Sink),each task is assigned one or more topic partitions. Thetotal number of partitions (6)isevenly distributedacross the available tasks (2). Thus, each task will handle3 partitions.
FromKafka Connect Documentation:
"Kafka Connect divides the topic partitions among available tasks. For example, a topic with six partitions and two tasks results in each task handling three partitions." Reference:Kafka Connect Concepts > Tasks and Partitions

NEW QUESTION # 178
To continuously export data from Kafka into a target database, I should use

A. Kafka Streams
B. Kafka Connect Sink
C. Kafka Connect Source
D. Kafka Producer

Answer: B

Explanation:
Kafka Connect Sink is used to export data from Kafka to external databases and Kafka Connect Source is used to import from external databases into Kafka.

NEW QUESTION # 179
You are using JDBC source connector to copy data from a table to Kafka topic. There is one connector created with max.tasks equal to 2 deployed on a cluster of 3 workers. How many tasks are launched?

A. 0
B. 1
C. 2
D. 3

Answer: D

Explanation:
JDBC connector allows one task per table.

NEW QUESTION # 180
What's a Kafka partition made of?

A. One file and two indexes per segment
B. One file
C. One file and one index
D. One file and two indexes

Answer: A

Explanation:
Kafka partitions are made of segments (usually each segment is 1GB), and each segment has two corresponding indexes (offset index and time index)

NEW QUESTION # 181
Which configuration allows more time for the consumer poll to process records?

A. fetch.max.wait.ms
B. max.poll.interval.ms
C. heartbeat.interval.ms
D. session.timeout.ms

Answer: B

Explanation:
max.poll.interval.ms defines themaximum delay between invocations of poll()before the consumer is considered failed. It essentially gives consumers more time to process records before needing to poll again.
FromKafka Consumer Configuration Reference:
"max.poll.interval.ms: The maximum delay between invocations of poll() when using consumer group management. If poll() is not called before expiration, the consumer is considered failed."
* session.timeout.ms and heartbeat.interval.ms relate to group coordination and heartbeats.
* fetch.max.wait.ms affects how long the broker waits to accumulate data before sending a fetch response.
Reference:Apache Kafka Consumer Configs

NEW QUESTION # 182
......

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