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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.

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q24-Q29):

NEW QUESTION # 24
Match the topic configuration setting with the reason the setting affects topic durability.
(You are given settings like unclean.leader.election.enable=false, replication.factor, min.insync.replicas=2)

Answer:

Explanation:

* unclean.leader.election.enable=false# Prevents data loss by only considering in-sync replicas when rebalancing.
* replication.factor# Specifies how many redundant copies of partitions are distributed across brokers.
* min.insync.replicas=2# Sets the standard for the number of partition instances that must keep up with the latest committed message.
* unclean.leader.election.enable=false ensures that onlyin-sync replicascan be elected as leaders. If disabled, an out-of-sync replica may become leader, potentially leading to data loss.
* replication.factor defineshow many brokerswill maintain copies of each partition, directly impacting durability and availability.
* min.insync.replicas determineshow many replicas must acknowledgea write when acks=all is used, enforcing write durability.
Reference:Apache Kafka Topic Configuration Documentation

NEW QUESTION # 25
What does producing data to a topic with a message key allow?

A. Consumers to subscribe to a message with a specific key
B. Messages to be secured with encryption
C. Producers to add extra metadata with the message
D. Messages to have a strategy for partition assignment

Answer: D

NEW QUESTION # 26
You need to explain the best reason to implement the consumer callback interface ConsumerRebalanceListener prior to a Consumer Group Rebalance.
Which statement is correct?

A. Partition leaders may change.
B. Partitions assigned to a consumer may change.
C. Offsets are compacted.
D. Previous log files are deleted.

Answer: B

Explanation:
The ConsumerRebalanceListener lets youhandle partition assignments and revocationsduring rebalances.
This is critical for managingoffsets,stateful processing, orexternal transactions.
FromKafka Consumer Rebalance Docs:
"Implementing ConsumerRebalanceListener allows your application to take action before and after partitions are reassigned."
* A is true: It lets your app react when partitionsassigned to the consumer change.
* B, C, and D are unrelated to consumer rebalancing directly.
Reference:Kafka Consumer JavaDocs > ConsumerRebalanceListener

NEW QUESTION # 27
Which two statements are correct about transactions in Kafka?
(Select two.)

A. Transactions are only possible when writing messages to a topic with single partition.
B. Information about producers and their transactions is stored in the _transaction_state topic.
C. Transactions guarantee at least once delivery of messages.
D. All messages from a failed transaction will be deleted from a Kafka topic.
E. Consumers can consume both committed and uncommitted transactions.

Answer: B,E

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
* #C. Consumers can consume both committed and uncommitted transactions.By default,Kafka consumers only read committed messagesif they are configured with isolation.level=read_committed.
However, if configured as read_uncommitted, theycan 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_stateto maintain metadata about producer transactions. This topic is essential for tracking thetransaction 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 # 28
Which of these joins does not require input topics to be sharing the same number of partitions?

A. KStream-KTable join
B. KStream-KStream join
C. KTable-KTable join
D. KStream-GlobalKTable

Answer: D

Explanation:
GlobalKTables have their datasets replicated on each Kafka Streams instance and therefore no repartitioning is required

NEW QUESTION # 29
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