CCDAK Trustworthy Practice & CCDAK Valid Exam Tips

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n modern society, whether to obtain CCDAK certification has become a standard to test the level of personal knowledge. Many well-known companies require the CCDAK certification at the time of recruitment. Whether you're a student or a white-collar worker, you're probably trying to get the certification in order to get more job opportunities or wages. If you are one of them, our CCDAK Exam Guide will effectively give you a leg up.

Confluent CCDAK certification exam is a comprehensive exam that covers all aspects of Kafka development, including Kafka architecture, Kafka producers and consumers, Kafka Streams, Kafka Connect, Confluent Platform, and Kafka Security. CCDAK exam is designed to test the candidate's ability to build Kafka-based applications using Confluent Platform, and their ability to troubleshoot and optimize Kafka applications.

The CCDAK Certification Exam is designed to test the proficiency of developers in building Kafka-based solutions. CCDAK exam covers various topics such as Kafka architecture, configuration, messaging, API, and security. By achieving the CCDAK certification, developers can demonstrate their understanding of Kafka concepts and their ability to build scalable and fault-tolerant Kafka applications.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q37-Q42):

NEW QUESTION # 37
Which two statements are correct when assigning partitions to the consumers in a consumer group using the assign() API?
(Select two.)

Answer: A,C

Explanation:
Using assign() givesmanual controlover partition assignment. In this mode:
* B is true: The applicationchooses partitionsdirectly without involving the group coordinator.
* C is true: Since no group coordination occurs,no rebalancinghappens if a consumer dies.
FromKafka Consumer API Docs:
"assign() manually assigns a list of partitions to this consumer. No coordination takes place and no rebalancing is triggered."
* A is false: subscribe() and assign() aremutually exclusive.
* D is incorrect: Partitions don't need to be equal across topics.
Reference:Kafka Consumer Java API > assign() and subscribe()


NEW QUESTION # 38
In Avro, removing or adding a field that has a default is a __ schema evolution

Answer: C

Explanation:
Clients with new schema will be able to read records saved with old schema and clients with old schema will be able to read records saved with new schema.


NEW QUESTION # 39
To produce data to a topic, a producer must provide the Kafka client with...

Answer: C

Explanation:
All brokers can respond to a Metadata request, so a client can connect to any broker in the cluster and then figure out on its own which brokers to send data to.


NEW QUESTION # 40
What data format isn't natively available with the Confluent REST Proxy?

Answer: A

Explanation:
Protocol buffers isn't a natively supported type for the Confluent REST Proxy, but you may use the binary format instead


NEW QUESTION # 41
Kafka producers can batch messages going to the same partition.
Which statement is correct about producer batching?

Answer: C

Explanation:
Kafka producers can group messages destined fordifferent partitionsintoseparate batches, and send multiple batches in one requestto optimize network usage.
FromKafka Producer Internals:
"The producer maintains buffers (batches) for each partition and can send multiple of these batches together in a single request to the broker."
* Message size is not a constraint for batching (A is false).
* Broker failures don't disable batching (B is false).
* There isno separate thread per batch(C is false).
Reference:Kafka Producer Architecture and Internals


NEW QUESTION # 42
......

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