What's more, part of that ExamDiscuss CCDAK dumps now are free: https://drive.google.com/open?id=10_1mlyQxTN2DP-U7fnT0R3-P-ajDaOLo
Students are worried about whether the CCDAK practice materials they have purchased can help them pass the exam and obtain a certificate. They often encounter situations in which the materials do not match the contents of the exam that make them waste a lot of time and effort. But with CCDAK exam dump, you do not need to worry about similar problems. Because our study material is prepared strictly according to the exam outline by industry experts, whose purpose is to help students pass the exam smoothly. As the authoritative provider of CCDAK Test Guide, we always pursue high passing rates compared with our peers to gain more attention from potential customers. In order to gain the trust of new customers, CCDAK practice materials provide 100% pass rate guarantee for all purchasers. We have full confidence that you can successfully pass the exam as long as you practice according to the content provided by CCDAK exam dump. Of course, if you fail to pass the exam, we will give you a 100% full refund.
Confluent CCDAK or Confluent Certified Developer for Apache Kafka Certification Examination is a certification exam designed for developers who want to demonstrate their expertise in Apache Kafka. Apache Kafka is an open-source distributed event streaming platform that is used to build real-time data pipelines and streaming applications. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is conducted by Confluent, a company that provides a complete event streaming platform built on Apache Kafka.
Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is a globally recognized certification for Kafka developers. CCDAK Exam is designed to test developers' knowledge and skills in building applications using Apache Kafka. Confluent Certified Developer for Apache Kafka Certification Examination certification provides Kafka developers with a competitive edge in the job market and demonstrates their expertise in building and managing Kafka clusters.
You will need to pass the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) exam to achieve the Confluent CCDAK certification. Due to extremely high competition, passing the Confluent CCDAK exam is not easy; however, possible. You can use ExamDiscuss products to pass the CCDAK Exam on the first attempt. The Confluent practice exam gives you confidence and helps you understand the criteria of the testing authority and pass the Confluent Certified Developer for Apache Kafka Certification Examination (CCDAK) exam on the first attempt.
Confluent CCDAK Certification Exam is intended for developers who want to demonstrate their expertise in Kafka development and Confluent platform. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is designed for developers who have a solid understanding of Java programming language, Kafka architecture, and Kafka development using Confluent platform. Confluent Certified Developer for Apache Kafka Certification Examination certification exam is ideal for developers who want to enhance their career prospects by demonstrating their skills and knowledge in Kafka development using Confluent platform.
NEW QUESTION # 71
A consumer is configured with enable.auto.commit=false. What happens when close() is called on the consumer object?
Answer: A
Explanation:
Calling close() on consumer immediately triggers a partition rebalance as the consumer will not be available anymore.
NEW QUESTION # 72
You are creating a Kafka Streams application to process retail data.
Match the input data streams with the appropriate Kafka Streams object.
Answer:
Explanation:
Explanation:
Table # Product, Customers
Stream # Orders_Placed, Shipment_Of_Orders
Tables represent slowly changing, reference data - e.g., customer profiles, product info.
Streams represent real-time event data - e.g., orders placed, shipments processed.
From Kafka Streams Documentation:
"Use KTable for reference datasets, and KStream for event-based processing such as orders or logs." Reference: Kafka Streams API Concepts
NEW QUESTION # 73
(You deploy a Kafka Streams application with five application instances.
Kafka Streams stores application metadata using internal topics.
Auto-topic creation is disabled in the Kafka cluster.
Which statement about this scenario is true?)
Answer: A
Explanation:
According to the official Apache Kafka Streams documentation, Kafka Streams relies on internal topics (such as changelog topics and repartition topics) to store state, task assignments, and application metadata. These topics are essential for fault tolerance, rebalancing, and state recovery.
When auto-topic creation is disabled, Kafka Streams cannot automatically create the required internal topics unless they already exist. In this situation, the Streams application will fail during startup with a fatal, non- retriable exception, indicating that the necessary internal topics could not be created.
Kafka Streams does not pause or wait for manual topic creation, nor does it operate without storing metadata.
Instead, it explicitly requires these topics to exist or be creatable. While administrators can manually pre- create the required internal topics with the correct configuration, failure to do so causes the application to terminate.
Therefore, the correct and documented behavior is that the Kafka Streams application terminates with a non- retriable exception when auto-topic creation is disabled and required internal topics are missing.
NEW QUESTION # 74
You need to explain the best reason to implement the consumer callback interface ConsumerRebalanceListener prior to a Consumer Group Rebalance.
Which statement is correct?
Answer: B
Explanation:
The ConsumerRebalanceListener lets you handle partition assignments and revocations during rebalances.
This is critical for managing offsets, stateful processing, or external transactions.
From Kafka 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 partitions assigned to the consumer change.
B, C, and D are unrelated to consumer rebalancing directly.
Reference: Kafka Consumer JavaDocs > ConsumerRebalanceListener
NEW QUESTION # 75
Kafka is configured with following parameters - log.retention.hours = 168 log.retention.minutes = 168 log.retention.ms = 168 How long will the messages be retained for?
Answer: A
Explanation:
If more than one similar config is specified, the smaller unit size will take precedence.
NEW QUESTION # 76
......
Study CCDAK Group: https://www.examdiscuss.com/Confluent/exam/CCDAK/
2026 Latest ExamDiscuss CCDAK PDF Dumps and CCDAK Exam Engine Free Share: https://drive.google.com/open?id=10_1mlyQxTN2DP-U7fnT0R3-P-ajDaOLo