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The CCDAK certification exam is administered by Confluent, the creators of Apache Kafka. Confluent is a company that provides an enterprise-ready distribution of Apache Kafka, along with tools and services for building and managing Kafka-based applications. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is intended for developers who work with Apache Kafka in their day-to-day roles and want to validate their skills and knowledge.
Confluent CCDAK (Confluent Certified Developer for Apache Kafka Certification Examination) is an exam designed for professionals seeking to validate their knowledge and skills in Apache Kafka. CCDAK Exam is administered by Confluent, a leading provider of enterprise data streaming platforms, and is intended for developers who have experience with Kafka and want to demonstrate their proficiency in the technology. The CCDAK exam is a crucial step for professionals who want to pursue a career in data streaming and messaging, and it is highly regarded in the industry.
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Apache Kafka has emerged as a leading distributed streaming platform in the market, providing real-time data processing for businesses across a range of industries. As more organizations adopt Kafka, the demand for skilled Kafka developers has grown significantly. To meet this demand, Confluent has introduced the Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam, which aims to validate the proficiency of developers in Kafka development.
NEW QUESTION # 83
(An S3 source connector named s3-connector stopped running.
You use the Kafka Connect REST API to query the connector and task status.
One of the three tasks has failed.
You need to restart the connector and all currently running tasks.
Which REST request will restart the connector instance and all its tasks?)
Answer: A
Explanation:
According to the official Apache Kafka Connect REST API documentation, restarting a connector can be done at different granularities: connector-level, task-level, or both. By default, calling POST /connectors/
{name}/restart only restarts the connector instance, not its tasks.
To restart the connector and all of its tasks, the request must explicitly include the query parameter includeTasks=true. This instructs Kafka Connect to restart the connector and all associated tasks, regardless of whether they are currently running or failed.
Option B (onlyFailed=true) limits the restart to only failed tasks, which does not meet the requirement to restart all tasks. Option C restarts only the connector instance, leaving tasks untouched. Option D restarts a single specific task and does not restart the connector itself.
Therefore, the correct and officially documented REST request to restart the connector instance and all tasks is:
POST /connectors/s3-connector/restart?includeTasks=true
This ensures a full restart of the connector and its execution context across the Kafka Connect cluster.
NEW QUESTION # 84
(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.)
Answer: C,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 # 85
Which partition assignment minimizes partition movements between two assignments?
Answer: D
Explanation:
TheStickyAssignortries to minimize partition movement bypreserving existing assignmentsas much as possible while still achieving a balanced assignment. This improvesconsumer stabilityand reduces rebalances.
From theKafka Consumer Assignor Documentation:
"The StickyAssignor attempts topreserve as many existing assignments as possible, which helps minimize partition movement between rebalances."
* RoundRobinAssignor focuses on even distribution, not stability.
* RangeAssignor groups partitions by topic and assigns them consecutively, but can lead to imbalances.
* PartitionAssignor is an abstract base class, not an assignor used directly.
Reference:Kafka Consumer Assignor Docs
NEW QUESTION # 86
How does a consumer commit offsets in Kafka?
Answer: B
Explanation:
Consumers do not directly write to the __consumer_offsets topic, they instead interact with a broker that has been elected to manage that topic, which is the Group Coordinator broker
NEW QUESTION # 87
Which two producer exceptions are examples of the class RetriableException? (Select two.)
Answer: A,D
Explanation:
BothLeaderNotAvailableExceptionandNotEnoughReplicasExceptionare subclasses of RetriableException, which representstransient issuesthat may succeed upon retry.
FromApache Kafka Java Client Documentation:
"RetriableException indicates that the request can be retried. This includes network errors and certain broker- side failures like leader not available or not enough replicas."
* RecordTooLargeException and AuthorizationException arenon-retriablebecause they represent client misconfigurations or access issues.
Reference:Kafka Error Handling Guide > Retriable vs. Non-Retriable Exceptions
NEW QUESTION # 88
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