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CCDAK Most Reliable Questions | CCDAK Vce Free

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Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is designed for developers who wish to demonstrate their expertise in developing Apache Kafka-based applications using Confluent's platform. Confluent is a leading provider of Apache Kafka-based solutions, and the CCDAK certification confirms that developers have the necessary skills to design, develop, and troubleshoot Kafka-based applications using Confluent's platform.

Confluent CCDAK (Confluent Certified Developer for Apache Kafka) Certification Exam is a globally recognized certification exam that tests the expertise of developers in Apache Kafka. Apache Kafka is an open-source distributed event streaming platform that is widely used by companies for building real-time data pipelines and streaming applications. The CCDAK exam is designed to test the knowledge and skills of developers in building and managing Kafka-based applications.

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q25-Q30):

NEW QUESTION # 25
Which of the following statements are true regarding the number of partitions of a topic?

A. The number of partitions in a topic cannot be altered
B. We can add partitions in a topic by adding a broker to the cluster
C. We can remove partitions in a topic using the kafka-topics.sh command
D. We can add partitions in a topic using the kafka-topics.sh command
E. We can remove partitions in a topic by removing a broker

Answer: D

Explanation:
We can only add partitions to an existing topic, and it must be done using the kafka-topics.sh command

NEW QUESTION # 26
What is the disadvantage of request/response communication?

A. Reliability
B. Cost
C. Scalability
D. Coupling

Answer: D

Explanation:
Point-to-point (request-response) style will couple client to the server.

NEW QUESTION # 27
Kafka producers can batch messages going to the same partition.
Which statement is correct about producer batching?

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

Answer: B

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 # 28
What is returned by a producer.send() call in the Java API?

A. Unit
B. Future<RecordMetadata> object
C. Future<ProducerRecord> object
D. A Boolean indicating if the call succeeded

Answer: B

Explanation:
Seehttps://kafka.apache.org/21/javadoc/org/apache/kafka/clients/producer/KafkaProducer.html

NEW QUESTION # 29
How do you read a table or stream from the beginning of a topic?

A. id as orderId
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. SELECT STRUCT(f1 := v1, f2 := v2) FROM s1 EMIT CHANGES;
D. SET 'auto.offset.reset' = 'latest';
SELECT STRUCT(f1 := v1, f2 := v2) FROM s1 EMIT CHANGES;
E. CREATE STREAM shipped_orders AS
SELECT
F. id as shipmentId,
G. SET 'auto.offset.reset' = 'earliest';
SELECT STRUCT(f1 := v1, f2 := v2) FROM s1 EMIT CHANGES;
H. itemId as itemId,

Answer: G

NEW QUESTION # 30
......

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