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Confluent CCDAK Exam Overview:

Certification Vendor:	Confluent
Exam Name:	Confluent Certified Developer for Apache Kafka (CCDAK) Certification Exam
Exam Number:	CCDAK
Real Exam Qty:	60
Passing Score:	70%
Available Languages:	English
Exam Price:	$150 USD
Related Certifications:	Confluent Certified Administrator for Apache Kafka (CCAK) Confluent Certified Developer for Apache Kafka (CCDAK)
Exam Duration:	90 minutes
Exam Format:	Multiple choice, Multiple select
Certificate Validity Period:	3 years
Recommended Training:	Kafka Fundamentals Course Apache Kafka Developer Training (Confluent)
Exam Registration:	Confluent Training and Exams Confluent Certification Portal
Sample Questions:	Confluent CCDAK Sample Questions
Exam Way:	Online proctored exam or authorized testing center
Pre Condition:	Basic understanding of Java or another JVM language and familiarity with distributed systems concepts is recommended.
Official Syllabus URL:	https://www.confluent.io/certification/

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Confluent Certified Developer for Apache Kafka (CCDAK) certification exam is intended for developers who want to demonstrate their expertise in building and implementing applications that use Apache Kafka. CCDAK exam is designed to test the developer's knowledge of Kafka's key concepts, architecture, and APIs. The CCDAK Certification is a valuable credential that can help developers stand out in the job market and demonstrate their ability to develop robust and reliable Kafka applications.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q58-Q63):

NEW QUESTION # 58
Clients that connect to a Kafka cluster are required to specify one or more brokers in the bootstrap.servers parameter.
What is the primary advantage of specifying more than one broker?

A. It is the mechanism to distribute a topic's partitions across multiple brokers.
B. It provides redundancy in making the initial connection to the Kafka cluster.
C. It provides the ability to wake up dormant brokers.
D. It forces clients to enumerate every single broker in the cluster.

Answer: B

Explanation:
The bootstrap.servers setting is used by clients (producers and consumers) to initially connect to the Kafka cluster. It does not need to list all brokers-just a few that are up and reachable. The client will then use the cluster metadata to discover the full broker list.
From Kafka Java Client Configuration Docs:
"This is a list of host/port pairs to use for establishing the initial connection to the Kafka cluster. The client will make use of all servers irrespective of which servers are specified here for bootstrapping." Hence, listing multiple brokers provides redundancy and fault tolerance in the event one is down during client startup.
Reference: Apache Kafka Java Client Configuration > bootstrap.servers

NEW QUESTION # 59
Which actions will trigger partition rebalance for a consumer group? (select three)

A. Increase partitions of a topic
B. Add a new consumer to consumer group
C. A consumer in a consumer group shuts down
D. Remove a broker from the cluster

Answer: A,B,C

Explanation:
Add a broker to the cluster
Explanation:
Rebalance occurs when a new consumer is added, removed or consumer dies or paritions increased.

NEW QUESTION # 60
You are writing a producer application and need to ensure proper delivery. You configure the producer with acks=all.
Which two actions should you take to ensure proper error handling?
(Select two.)

A. Check that producer.send() returned a RecordMetadata object and is not null.
B. Check the value of ProducerRecord.status().
C. Surround the call of producer.send() with a try/catch block to catch KafkaException.
D. Use a callback argument in producer.send() where you check delivery status.

Answer: C,D

Explanation:
For proper delivery handling with acks=all:
* Usecallbackto log or act on success/failure.
* Usetry/catchto handle synchronous exceptions like serialization errors or network failures.
FromKafka Producer Documentation:
"Errors can be caught either via the returned Future<RecordMetadata> or via the callback interface. For fatal errors, use a try/catch block around the send call." Option B is incorrect because send() returns a Future, not RecordMetadata directly.
Option D is invalid - ProducerRecord has no method called status().
Reference:Kafka Producer Error Handling and Callback APIs

NEW QUESTION # 61
You create a topic named loT-Data with 10 partitions and replication factor of three.
A producer sends 1 MB messages compressed with Gzip.
Which two statements are true in this scenario?
(Select two.)

A. All compressed messages will be stored in the same topic partition.
B. Compression type will be stored in batch attributes.
C. By default, compression is the producer's responsibility.
D. The message is already compressed so it will not be serialized.

Answer: B,C

Explanation:
A: Kafka batches store compression metadata in their headers, indicating how the batch was compressed.
B: Compression is controlled via the producer config compression.type, which defaults to none. Producers explicitly set Gzip or other formats.
From Kafka Producer Docs:
"Compression is done by the producer, and the type is stored in the message batch metadata. The broker does not recompress." C is false: messages are serialized before compression.
D is false: messages without keys are distributed across multiple partitions.
Reference: Kafka Producer Configs > compression.type

NEW QUESTION # 62
You have a Kafka consumer in production actively reading from a critical topic.
You need to update the offset of your consumer to start reading from the beginning of the topic.
Which action should you take?

A. Update the consumer group's offset to the earliest position using the kafka-consumer-groups CLI tool.
B. Update the consumer configuration by setting auto.offset.reset=earliest.
C. Temporarily configure the topic's retention.ms parameter to 0 to empty the topic.
D. Start a new consumer application with the same consumer group id.

Answer: A

Explanation:
To reset offsets for anexisting consumer group, you must use thekafka-consumer-groups.shtool with the -- reset-offsets and --to-earliest flags.
FromKafka Consumer Group Tool Documentation:
"You can use the kafka-consumer-groups tool to reset offsets for a consumer group. This is required if the consumer has already committed offsets."
* Setting auto.offset.reset=earliest only worksif no committed offset exists.
* Starting a new consumer with the same group won't reset offsets.
* Retention settings don't affect committed offsets.
Reference:Kafka Consumer Group CLI Tool

NEW QUESTION # 63
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