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[General] Confluent CCDAK Actual Exam Dumps | CCDAK Exam Course

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【General】 Confluent CCDAK Actual Exam Dumps | CCDAK Exam Course

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P.S. Free & New CCDAK dumps are available on Google Drive shared by PassTestking: https://drive.google.com/open?id=1i19ZNx2xvh8f3_e3LX7BVzUyIuP6_ofx
In order to cater to meet different needs of our customers, three versions of CCDAK exam bootcamp are available. Each version has its own advantages, and you can choose the most suitable one in accordance with your needs. Furthermore, CCDAK exam bootcamp is compiled by outstanding experts, therefore the quality and the accuracy can be guaranteed. Besides, we have the professional technicians to examine the website on a regular basis, hence a clean and safe shopping environment will be provided to you. You just need to buy the CCDAK Exam Dumps with ease.
Confluent CCDAK exam is a performance-based exam that tests the developer’s ability to create and manage Kafka clusters, design and develop Kafka producers and consumers, and configure Kafka security. CCDAK exam consists of 60 multiple-choice and multiple-response questions that need to be completed in 90 minutes. CCDAK exam is conducted online and can be taken from anywhere in the world.
The CCDAK Certification Exam is an important certification for developers who want to work with Kafka and Confluent's platform. It demonstrates to employers and clients that a developer has the skills and knowledge necessary to build and manage Kafka-based applications using Confluent's platform. In addition, the certification can help developers advance their careers and increase their earning potential.
To prepare for the CCDAK Certification examination, candidates must have a solid understanding of Kafka's architecture, design principles, and implementation details. They must also have experience working with Kafka in a production environment. Confluent offers a range of training courses and resources that can help candidates prepare for the exam. These courses cover topics such as Kafka architecture, Kafka Streams, Kafka Connect, and Kafka security.
CCDAK Exam Course, CCDAK Test BookAll of the traits above are available in this web-based Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) practice test of PassTestking. The main distinction is that the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) online practice test works with not only Windows but also Mac, Linux, iOS, and Android. Above all, taking the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) web-based practice test while preparing for the examination does not need any software installation.
Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q74-Q79):NEW QUESTION # 74
(Your configuration parameters for a Source connector and Connect worker are:
* offset.flush.interval.ms=60000
* offset.flush.timeout.ms=500
* offset.storage.topic=connect-offsets
* offset.storage.replication.factor=-1
Which two statements match the expected behavior?
Select two.)
  • A. The connector will commit offsets to a topic called connect-offsets.
  • B. The connector will wait 500 ms before trying to commit offsets for tasks.
  • C. The connector will commit offsets to the broker default offsets topic.
  • D. The offsets topic will use the broker default replication factor.
Answer: A,D
Explanation:
Apache Kafka Connect stores source connector offsets in a Kafka topic defined by the offset.storage.topic configuration. Since this property is explicitly set to connect-offsets, Kafka Connect will commit offsets to that topic, making Option C correct.
The offset.storage.replication.factor controls how many replicas the offsets topic will have. When this value is set to -1, Kafka Connect uses the broker's default replication factor, as documented in the Kafka Connect worker configuration reference. Therefore, Option A is also correct.
Option B is incorrect because Kafka Connect does not use Kafka's internal consumer offsets topic (__consumer_offsets). It always uses the configured offsets topic. Option D is incorrect because offset.flush.
timeout.ms defines how long Connect will wait for offset commits to complete, not how long it waits before attempting a commit. The commit interval itself is controlled by offset.flush.interval.ms (60 seconds in this case).
Thus, the correct statements that match the expected behavior are A and C.

NEW QUESTION # 75
There are two consumers C1 and C2 belonging to the same group G subscribed to topics T1 and T2. Each of the topics has 3 partitions. How will the partitions be assigned to consumers with Partition Assigner being Round Robin Assigner?
  • A. C1 will be assigned partitions 0 and 2 from T1 and partition 1 from T2. C2 will have partition 1 from T1 and partitions 0 and 2 from T2.
  • B. Two consumers cannot read from two topics at the same time
  • C. C1 will be assigned partitions 0 and 1 from T1 and T2, C2 will be assigned partition 2 from T1 and T2.
  • D. All consumers will read from all partitions
Answer: A
Explanation:
The correct option is the only one where the two consumers share an equal number of partitions amongst the two topics of three partitions. An interesting article to read ishttps://medium.com/@anyili0928/w ... rategy-799fdf15d3ab

NEW QUESTION # 76
You create a topic named loT-Data with 10 partitions and replication factor of three.
A producer sends 1 MB messages compressed with Gzip.
Which two statements are true in this scenario?
(Select two.)
  • A. Compression type will be stored in batch attributes.
  • B. By default, compression is the producer's responsibility.
  • C. All compressed messages will be stored in the same topic partition.
  • D. The message is already compressed so it will not be serialized.
Answer: A,B
Explanation:
* A:Kafka batches storecompression metadata in their headers, indicating how the batch was compressed.
* B:Compression is controlled via theproducer config compression.type, which defaults to none.
Producers explicitly set Gzip or other formats.
FromKafka Producer Docs:
"Compression is done by the producer, and the type is stored in the message batch metadata. The broker does not recompress."
* C is false: messages are serializedbeforecompression.
* D is false: messages without keys are distributed acrossmultiple partitions.
Reference:Kafka Producer Configs > compression.type

NEW QUESTION # 77
An application is writing AVRO messages using Schema Registry to topic t1. During this process, the Schema Registry becomes unavailable for a few seconds.
What is the expected impact to the application?
  • A. Since messages are cached by the producer, the application will only get an error if the producer is sending the batch at that time.
  • B. The application may not have any impact, unless it is writing messages with a new Schema Definition.
  • C. Since the broker will eventually replicate the message Schema, there will not be an error.
  • D. All messages within that time will receive an error.
Answer: B

NEW QUESTION # 78
If I produce to a topic that does not exist, and the broker setting auto.create.topic.enable=true, what will happen?
  • A. Kafka will automatically create the topic with the broker settings num.partitions and default.replication.
    factor
  • B. Kafka will automatically create the topic with num.partitions=#of brokers and replication.factor=3
  • C. Kafka will automatically create the topic with 1 partition and 1 replication factor
  • D. Kafka will automatically create the topic with the indicated producer settings num.partitions and default.
    replication.factor
Answer: A
Explanation:
The broker settings comes into play when a topic is auto created

NEW QUESTION # 79
......
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CCDAK Exam Course: https://www.passtestking.com/Confluent/CCDAK-practice-exam-dumps.html
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