Confluent CCDAK Test Dumps | CCDAK Paper

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The CCDAK certification exam consists of a series of multiple-choice questions that assess the candidate's knowledge in various aspects of Kafka development. CCDAK exam covers topics such as Kafka architecture, Kafka APIs, Kafka Connect, Kafka Streams, and Kafka Security. Candidates must pass the exam with a minimum score of 70% to earn the CCDAK certification. Confluent Certified Developer for Apache Kafka Certification Examination certification is valid for two years and can be renewed by passing the recertification exam. The CCDAK certification program is an excellent way for developers to demonstrate their Kafka development skills, increase their marketability, and advance their careers in the field of big data and streaming technologies.

Earning the CCDAK Certification is a great way to showcase your expertise in Kafka and gain recognition in the industry. Confluent Certified Developer for Apache Kafka Certification Examination certification is valid for two years, and to maintain it, you need to either retake the exam or earn a higher-level certification offered by Confluent.

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q59-Q64):

NEW QUESTION # 59
Match the testing tool with the type of test it is typically used to perform.

Answer:

Explanation:

Explanation:
Unit Testing # MockProducer
Integration Testing # Testcontainers
Performance Testing # Trogdor
Mock Data Generation # Connect Datagen
MockProducer: Simulates a Kafka producer in unit tests (no real broker interaction).
Testcontainers: Spawns Kafka in Docker for real environment testing.
Trogdor: Kafka's built-in performance load testing framework.
Connect Datagen: Creates sample source records for test and demo purposes.
From Kafka Developer Tools Guide:
"Kafka developers commonly use MockProducer for unit tests, Testcontainers for integration, and Trogdor for performance tests." Reference: Kafka Testing and Tools Overview

NEW QUESTION # 60
A client connects to a broker in the cluster and sends a fetch request for a partition in a topic. It gets an exception Not Leader For Partition Exception in the response. How does client handle this situation?

A. Send metadata request to the same broker for the topic and select the broker hosting the leader replica
B. Send metadata request to Zookeeper for the topic and select the broker hosting the leader replica
C. Send fetch request to each Broker in the cluster
D. Get the Broker id from Zookeeper that is hosting the leader replica and send request to it

Answer: A

Explanation:
In case the consumer has the wrong leader of a partition, it will issue a metadata request. The Metadata request can be handled by any node, so clients know afterwards which broker are the designated leader for the topic partitions. Produce and consume requests can only be sent to the node hosting partition leader.

NEW QUESTION # 61
To prevent network-induced duplicates when producing to Kafka, I should use

A. enable.idempotence=true
B. retries=200000
C. max.in.flight.requests.per.connection=1
D. batch.size=1

Answer: A

Explanation:
Producer idempotence helps prevent the network introduced duplicates. More details herehttps://cwiki.apache.org/confluence/display/KAFKA/Idempotent+Producer

NEW QUESTION # 62
Which of the following is a push query?

A. SELECT windowstart, windowend, item_id, SUM(quantity)
FROM orders
WINDOW TUMBLING (SIZE 20 SECONDS)
GROUP BY item_id
EMIT CHANGES;
B. CREATE TABLE LEFT_TABLE (ID BIGINT PRIMARY KEY, NAME varchar, VALUE bigint) WITH (kafka_topic='left_topic', value_format='JSON', partitions=4);
C. CREATE STREAM STUDENTS (ID STRING KEY, SCORE INT)
WITH (kafka_topic='students_topic', value_format='JSON', partitions=4);
D. SELECT *
FROM NUMBER_OF_TESTS
WHERE ID='10';

Answer: A

NEW QUESTION # 63
You have a topic t1 in a Kafka cluster. A producer running on host A can successfully write messages to t1.
Then, you move that producer code to run on host B, but it fails writing messages to t1.
What is a likely reason for that failure?

A. Another producer started writing to t1.
B. The producer is connecting to a different broker in the same cluster.
C. Kafka ACLs are not configured to allow host B's IP address.
D. Topic T1 no longer exists in the same environment as host B.

Answer: C

NEW QUESTION # 64
......

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