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Confluent is a company that provides a distributed streaming platform built on Apache Kafka. The Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam is designed for developers who want to demonstrate their knowledge and skills in building and managing Kafka-based applications using Confluent's platform. CCDAK Exam is an industry-recognized certification that validates a developer's ability to work with Kafka and Confluent.

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Confluent CCDAK Certification validates a candidate's ability to build and manage Kafka-based systems by providing comprehensive knowledge, practical experience, and demonstrated skills required to design, develop, and test Kafka applications. Confluent Certified Developer for Apache Kafka Certification Examination certification exam acknowledges expertise in how to configure, deploy, and manage Kafka ecosystem components, including producer and consumer APIs, Kafka Connect, Kafka Streams, Avro, and schema management.

Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is a comprehensive test that evaluates an individual's proficiency in developing and deploying Kafka-based solutions. CCDAK examination assesses the knowledge and skills required to use Kafka's features effectively and efficiently in real-world scenarios. The CCDAK exam is designed by Confluent, the company founded by the original creators of Apache Kafka, and is recognized globally as a benchmark for Kafka expertise.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q34-Q39):

NEW QUESTION # 34
Kafka producers can batch messages going to the same partition.
Which statement is correct about producer batching?

A. Two or more broker failures will automatically disable batching on the producer.
B. Producers have a separate background thread for each batch.
C. Producers can include multiple batches in a single request to a broker.
D. Producers can only batch messages of the same size.

Answer: C

Explanation:
Kafka producers can group messages destined for different partitions into separate batches, and send multiple batches in one request to optimize network usage.
From Kafka 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 is no separate thread per batch (C is false).
Reference: Kafka Producer Architecture and Internals

NEW QUESTION # 35
How do you read a table or stream from the beginning of a topic?

A. SET 'auto.offset.reset' = 'earliest';
SELECT STRUCT(f1 := v1, f2 := v2) FROM s1 EMIT CHANGES;
B. id as paymentId
FROM orders o
INNER JOIN payments p WITHIN 1 HOURS ON p.id = o.id
INNER JOIN shipments s WITHIN 2 HOURS ON s.id
= o.id;
C. id as shipmentId,
D. CREATE STREAM shipped_orders AS
SELECT
E. SELECT STRUCT(f1 := v1, f2 := v2) FROM s1 EMIT CHANGES;
F. SET 'auto.offset.reset' = 'latest';
SELECT STRUCT(f1 := v1, f2 := v2) FROM s1 EMIT CHANGES;
G. itemId as itemId,
H. id as orderId

Answer: A

NEW QUESTION # 36
What are two examples of performance metrics?
(Select two.)

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

Answer: A,E

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 # 37
Where are the ACLs stored in a Kafka cluster by default?

A. Inside the Zookeeper's data directory
B. In Kafka topic __kafka_acls
C. Inside the broker's data directory
D. Under Zookeeper node /kafka-acl/

Answer: C

Explanation:
ACLs are stored in Zookeeper node /kafka-acls/ by default.

NEW QUESTION # 38
Your manager would like to have topic availability over consistency. Which setting do you need to change in order to enable that?

A. min.insync.replicas
B. unclean.leader.election.enable
C. compression.type

Answer: B

Explanation:
unclean.leader.election.enable=true allows non ISR replicas to become leader, ensuring availability but losing consistency as data loss will occur

NEW QUESTION # 39
......

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