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Confluent CCDAK (Confluent Certified Developer for Apache Kafka Certification Examination) Certification Exam is a valuable certification for developers who work with Kafka. CCDAK exam tests the skills and knowledge of developers in various aspects of Kafka, and passing it demonstrates proficiency in working with Kafka. Candidates can prepare for the exam by gaining theoretical knowledge and practical experience, and there are many resources available to help them do so.

The CCDAK certification is an important credential for developers who want to demonstrate their expertise in working with Kafka. Confluent Certified Developer for Apache Kafka Certification Examination certification is offered by Confluent, which is the company that created Kafka. Confluent is a leading provider of data streaming platforms, and the CCDAK Certification is recognized as a valuable credential by many organizations in the industry. Confluent Certified Developer for Apache Kafka Certification Examination certification is designed to be accessible to developers of all levels of experience, from beginners to experts.

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q25-Q30):

NEW QUESTION # 25
Kafka is configured with following parameters - log.retention.hours = 168 log.retention.minutes = 168 log.retention.ms = 168 How long will the messages be retained for?

Answer: C

Explanation:
If more than one similar config is specified, the smaller unit size will take precedence.


NEW QUESTION # 26
Which statement describes the storage location for a sink connector's offsets?

Answer: C

Explanation:
Kafka Connect sink connectors use the standard Kafka consumer mechanism to track offsets, which means offsets are stored in the __consumer_offsets internal topic.
From Kafka Connect Documentation:
"Sink connectors are regular Kafka consumers and store their offsets in the __consumer_offsets topic like any other consumer." The other options refer to source connectors or worker configuration.
offsets.storage.topic is relevant for source connectors.
Reference: Kafka Connect Concepts > Sink Connectors and Offset Storage


NEW QUESTION # 27
To import data from external databases, I should use

Answer: A

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 # 28
What happens if you write the following code in your producer? producer.send(producerRecord).get()

Answer: D

Explanation:
Using Future.get() to wait for a reply from Kafka will limit throughput.


NEW QUESTION # 29
What are three built-in abstractions in the Kafka Streams DSL?
(Select three.)

Answer: B,C,D

Explanation:
TheKafka Streams DSLprovides three primary abstractions:
* KStream: Represents an unbounded stream of records (append-only).
* KTable: Represents a changelog stream where each key has the latest value (like a materialized view).
* GlobalKTable: A fully replicated version of KTable across all stream instances, enabling global joins.
FromKafka Streams Developer Guide:
"Kafka Streams provides three core abstractions: KStream, KTable, and GlobalKTable, each serving different purposes in stream processing and joins."
* GlobalKStream and StreamTable donot existin Kafka's API.
Reference:Kafka Streams Concepts > KStream, KTable, GlobalKTable


NEW QUESTION # 30
......

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