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Confluent CCDAK Exam Overview:

Certification Vendor:	Confluent
Exam Name:	Confluent Certified Developer for Apache Kafka Certification Examination
Exam Number:	CCDAK
Passing Score:	Pass / Fail
Related Certifications:	Confluent Cloud Certified Operator (CCAC) Confluent Certified Administrator for Apache Kafka (CCAAK)
Exam Price:	$150 USD
Available Languages:	English
Exam Duration:	90 minutes
Real Exam Qty:	60
Exam Format:	Multiple-choice, Matching, List order
Certificate Validity Period:	2 years
Recommended Training:	Confluent Developer Training for Apache Kafka Confluent Documentation
Exam Registration:	Confluent Certification Portal
Sample Questions:	Confluent CCDAK Sample Questions
Exam Way:	Remote proctored online exam; requires webcam, microphone, Google Chrome browser
Pre Condition:	No mandatory prerequisites; recommended experience: 6+ months developing applications with Apache Kafka
Official Syllabus URL:	https://www.confluent.io/certification/

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To become certified as a Confluent CCDAK certified developer for Apache Kafka, candidates must pass a rigorous online examination. CCDAK exam is computer-based and consists of 90 multiple choice questions, and has a time limit of 120 minutes. CCDAK exam is designed to challenge the technical skills and knowledge needed for creating and managing Apache Kafka applications using Confluent's platform. Passing the Confluent CCDAK Exam demonstrates a proficiency in working with Kafka streams in a distributed environment using Confluent platform, allowing candidates to leverage this certification to advance their careers.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q26-Q31):

NEW QUESTION # 26
Refer to the producer code below. It features a 'Callback' class with a method called 'onCompletion()'. When will the 'onCompletion()' method be Invoked?

producer.send(record, new MyCallback(record));

A. When a broker sends an acknowledgement to the producer
B. When the producer puts the message into its socket buffer
C. When the producer batches the message
D. When a consumer sends an acknowledgement to the producer

Answer: A

NEW QUESTION # 27
What are two examples of performance metrics?
(Select two.)

A. Number of active users
B. fetch-rate
C. Time of last failed login
D. incoming-byte-rate
E. Number of active user sessions
F. total-login-attempts

Answer: B,D

Explanation:
* fetch-rate: Measures how frequently consumers fetch data - critical for monitoring throughput.
* incoming-byte-rate: Shows how much data is being written to the broker per second - a key producer-side metric.
FromKafka JMX Metrics Guide:
"fetch-rate, incoming-byte-rate, request-latency are key performance metrics for producers and consumers."
* B, C, E, and F areapplication-layer business metrics, not Kafka performance metrics.
Reference:Kafka Monitoring > JMX Metrics

NEW QUESTION # 28
Using the Confluent Schema Registry, where are Avro schema stored?

A. In the Schema Registry embedded SQL database
B. In the message bytes themselves
C. In the Zookeeper node /schemas
D. In the _schemas topic

Answer: D

Explanation:
The Schema Registry stores all the schemas in the _schemas Kafka topic

NEW QUESTION # 29
A consumer starts and has auto.offset.reset=none, and the topic partition currently has data for offsets going from 45 to 2311. The consumer group has committed the offset 10 for the topic before. Where will the consumer read from?

A. offset 10
B. offset 2311
C. offset 45
D. it will crash

Answer: D

Explanation:
auto.offset.reset=none means that the consumer will crash if the offsets it's recovering from have been deleted from Kafka, which is the case here, as 10 < 45

NEW QUESTION # 30
You need to collect logs from a host and write them to a Kafka topic named 'logs-topic'. You decide to use Kafka Connect File Source connector for this task.
What is the preferred deployment mode for this connector?

A. Parallel mode
B. Standalone mode
C. SingleCluster mode
D. Distributed mode

Answer: B

Explanation:
Kafka Connect can run in standalone mode or distributed mode. For simple tasks like reading logs from a file on a single host, standalone mode is recommended.
From Kafka Connect User Guide:
"Standalone mode is useful when running connectors on a single machine (e.g., for development or simple deployments like log collection from a local file)." Distributed mode is preferred for scalability and fault tolerance but overkill for this use case.
Reference: Kafka Connect User Guide > Deployment Modes

NEW QUESTION # 31
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