Confluent CCDAK Dumps PDF - CCDAK Valid Exam Guide

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2026 CCDAK Dumps PDF | High Pass-Rate CCDAK Valid Exam Guide: Confluent Certified Developer for Apache Kafka Certification Examination

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q36-Q41):

NEW QUESTION # 36
Which two statements are correct about transactions in Kafka?
(Select two.)

Answer: D,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 # 37
A stream processing application is tracking the user activity of online shopping carts. The application tracks items added to the cart, items removed from the cart, and items ordered from the cart throughout the day for each user.
You need to capture the data to identify possible periods of user inactivity.
Which type of Kafka Streams window should you use?

Answer: D


NEW QUESTION # 38
What happens if you write the following code in your producer? producer.send(producerRecord).get()

Answer: D

Explanation:
Using Future.get() to wait for a reply from Kafka will limit throughput.


NEW QUESTION # 39
We have a store selling shoes. What dataset is a great candidate to be modeled as a KTable in Kafka Streams?

Answer: A,C

Explanation:
Aggregations of stream are stored in table, whereas Streams must be modeled as a KStream to avoid data explosion


NEW QUESTION # 40
(You are configuring a source connector that writes records to an Orders topic.
You need to send some of the records to a different topic.
Which Single Message Transform (SMT) is best suited for this requirement?)

Answer: C

Explanation:
According to the official Apache Kafka Connect documentation, RegexRouter is the SMT specifically designed to dynamically change the destination topic name of records produced by a connector. It works by applying a regular expression to the original topic name and rewriting it to a new topic name.
This makes RegexRouter the correct choice when some records must be routed to a different topic, typically in combination with connector-level logic, predicates, or multiple connectors. It is commonly used for topic renaming, topic versioning, or routing records to alternate topics.
InsertField (Option B) only adds metadata fields (such as topic, partition, or timestamp) to the record payload and does not affect routing. TombstoneHandler (Option C) is used to manage null-value records, especially with compacted topics. HeaderFrom (Option D) copies fields into headers but does not change the target topic.
Therefore, RegexRouter is the only SMT that directly supports changing the output topic, as documented in the Kafka Connect SMT reference.


NEW QUESTION # 41
......

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