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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.

The CCDAK certification is ideal for developers who want to demonstrate their expertise in Apache Kafka and advance their careers in this field. Confluent Certified Developer for Apache Kafka Certification Examination certification is also beneficial for organizations that use Kafka in their infrastructure, as it ensures that their developers have the necessary skills to build and manage Kafka clusters and applications. Confluent Certified Developer for Apache Kafka Certification Examination certification is valid for two years, and developers are required to renew their certification by passing a recertification exam.

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The CCDAK exam is a comprehensive test that covers various aspects of the Kafka platform, including Kafka architecture, configuration, monitoring, performance tuning, and security. CCDAK examination measures one's ability to use Kafka to handle real-time data feeds, messaging, and stream processing. CCDAK Exam is designed to assess one's understanding of the platform and their ability to apply their knowledge to solve real-world problems.

Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q62-Q67):

NEW QUESTION # 62
Which message delivery semantic is guaranteed by Kafka Connect?

Answer: C


NEW QUESTION # 63
Which two statements are correct about transactions in Kafka?
(Select two.)

Answer: C,D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
# C. Consumers can consume both committed and uncommitted transactions.By default, Kafka consumers only read committed messages if they are configured with isolation.level=read_committed. However, if configured as read_uncommitted, they can also consume uncommitted (potentially aborted) transactional messages.
From Kafka Documentation:
"The isolation.level setting controls whether the consumer will read only committed messages or all messages, including uncommitted messages from ongoing or aborted transactions."
# D. Information about producers and their transactions is stored in the _transaction_state topic.Kafka uses an internal topic named __transaction_state to maintain metadata about producer transactions. This topic is essential for tracking the transaction lifecycle, fencing, and recovery.
From Kafka Internals:
"Kafka stores the state of active and completed transactions in an internal topic called __transaction_state."


NEW QUESTION # 64
The producer code below features a Callback class with a method called onCompletion().
When will the onCompletion() method be invoked?

Answer: B

Explanation:
The onCompletion() method of Kafka'sCallback interfaceis executedonce the broker acknowledgesthe message. This includes success or failure, and it isinvoked asynchronouslyby the producer.
FromKafka Java Client API Documentation:
"The onCompletion method will be called when the record sent to the server has been acknowledged, or when an error occurs." This ensures thatthe record was sent and acknowledged, not just added to a batch or local buffer.
Reference:Kafka Java Client API > org.apache.kafka.clients.producer.Callback


NEW QUESTION # 65
You create a topic named stream-logs with:
* A replication factor of 3
* Four partitions
* Messages that are plain logs without a keyHow will messages be distributed across partitions?

Answer: B

Explanation:
If amessage key is not provided, Kafka's default partitioner usesround-robin distributionacross available partitions.
FromKafka Producer Design:
"If no key is provided, the default partitioner distributes messages round-robin to available partitions."
* A is incorrect - not all go to partition 0.
* C is invalid - Kafka doesn't group messages into one segment without a key.
* D is false - ordering isnot preservedacross partitions without a key.
Reference:Kafka Producer Partitioner Behavior


NEW QUESTION # 66
To read data from a topic, the following configuration is needed for the consumers

Answer: C

Explanation:
All brokers can respond to Metadata request, so a client can connect to any broker in the cluster.


NEW QUESTION # 67
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