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Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is a professional certification exam designed to test and validate the skills and knowledge of developers who work with Apache Kafka. CCDAK Exam is offered by Confluent, a leading provider of Apache Kafka-based streaming platforms and solutions.

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Confluent CCDAK certification exam covers a wide range of topics related to Kafka, including Kafka architecture, Kafka clusters, Kafka streams, Kafka security, and Kafka monitoring. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is designed for developers who have experience with Kafka and want to validate their skills and knowledge in the field. CCDAK Exam is designed to test the understanding and expertise of developers in Kafka and related technologies.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q27-Q32):

NEW QUESTION # 27
What is true about partitions? (select two)

Answer: A,C

Explanation:
Only one of the replicas is elected as partition leader. And a broker can definitely hold many partitions from the same topic on its disk, try creating a topic with 12 partitions on one broker!


NEW QUESTION # 28
You use Kafka Connect with the JDBC source connector to extract data from a large database and push it into Kafka.
The database contains tens of tables, and the current connector is unable to process the data fast enough.
You add more Kafka Connect workers, but throughput doesn't improve.
What should you do next?

Answer: C

Explanation:
Increasingtasks.maxallows the connector to createmultiple tasks, each responsible for processing different tables or table partitions. If onlyone taskis used,adding more workers has no effect.
FromKafka Connect JDBC Connector Docs:
"Use tasks.max to configure how many tasks are created for the connector. Each task can process a subset of the data."
* A and C help only if the bottleneck is in Kafka, not Connect.
* D is a large architectural change, not the first step.
Reference:Kafka Connect JDBC Connector Configuration


NEW QUESTION # 29
If I want to send binary data through the REST proxy to topic "test_binary", it needs to be base64 encoded. A consumer connecting directly into the Kafka topic

Answer: B

Explanation:
On the producer side, after receiving base64 data, the REST Proxy will convert it into bytes and then send that bytes payload to Kafka. Therefore consumers reading directly from Kafka will receive binary data.


NEW QUESTION # 30
A stream processing application is tracking user activity in online shopping carts.
You want to identify periods of user inactivity.
Which type of Kafka Streams window should you use?

Answer: A

Explanation:
Session windows are ideal for tracking periods of activity separated by inactivity, such as user sessions.
From Kafka Streams Documentation > Windowing:
"A session window captures streams of events that are intermittent and separated by a gap of inactivity." Tumbling/Hopping/Sliding windows are fixed in size Session windows are dynamic and close after inactivity timeout This makes them perfect for identifying gaps in user interaction.
Reference: Kafka Streams Developer Guide > Session Windows


NEW QUESTION # 31
If I produce to a topic that does not exist, and the broker setting auto.create.topic.enable=true, what will happen?

Answer: C

Explanation:
The broker settings comes into play when a topic is auto created


NEW QUESTION # 32
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