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Official CCDAK Study Guide | Latest CCDAK: Confluent Certified Developer for Apache Kafka Certification Examination

Candidates who become Confluent CCDAK certified demonstrate their worth in the Confluent field. CCDAK certification is proof of their competence and skills. This is a highly sought after credential and it makes career advancement easier for the candidate. To become Confluent CCDAK Certified, you must pass the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) Exam. For this task, you need actual and updated CCDAK Questions.

The CCDAK Certification Exam is a hands-on exam that requires developers to demonstrate their skills in a real-world scenario. CCDAK exam consists of a set of tasks that must be completed within a set time frame. The tasks are designed to test a developer's ability to work with Kafka and Confluent's tools to build and manage Kafka-based applications. CCDAK Exam is graded based on the number of tasks completed and the quality of the solutions provided.

>> Official CCDAK Study Guide <<

Pass Guaranteed Quiz Confluent - CCDAK - Latest Official Confluent Certified Developer for Apache Kafka Certification Examination Study Guide

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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 (Q18-Q23):

NEW QUESTION # 18
How often is log compaction evaluated?

A. Every time a new partition is created
B. Every time a message is flushed to disk
C. Every time a segment is closed
D. Every time a message is sent to Kafka

Answer: C

Explanation:
Log compaction is evaluated every time a segment is closed. It will be triggered if enough data is "dirty" (see dirty ratio config)

NEW QUESTION # 19
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?

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

Answer: C

NEW QUESTION # 20
What happens when broker.rack configuration is provided in broker configuration in Kafka cluster?

A. You can use the same broker.id as long as they have different broker.rack configuration
B. Replicas for a partition are placed in the same rack
C. Replicas for a partition are spread across different racks
D. Each rack contains all the topics and partitions, effectively making Kafka highly available

Answer: C

Explanation:
Partitions for newly created topics are assigned in a rack alternating manner, this is the only change broker.rack does

NEW QUESTION # 21
Which SMTs is used to change the data type?

A. org.apache.kafka.connect.transforms.Cast
B. io.confluent.connect.transforms.TombstoneHandler
C. org.apache.kafka.connect.transforms.Flatten
D. org.apache.kafka.connect.transforms.TimestampRouter

Answer: A

NEW QUESTION # 22
An ecommerce wesbite sells some custom made goods. What's the natural way of modeling this data in Kafka streams?

A. Purchase as table, Product as table, Customer as table
B. Purchase as stream, Product as table, Customer as stream
C. Purchase as stream, Product as stream, Customer as stream
D. Purchase as stream, Product as table, Customer as table

Answer: D

Explanation:
Mostly-static data is modeled as a table whereas business transactions should be modeled as a stream.

NEW QUESTION # 23
......

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