2026 Latest ExamsTorrent CCDAK PDF Dumps and CCDAK Exam Engine Free Share: https://drive.google.com/open?id=1Nn4k_kYL7RCFum78dLSsvOCKT9K1iuw3
Our CCDAK study materials are famous for instant download, and if you want to start practicing as quickly as possible, you can have a try. After purchasing CCDAK exam dumps , you will receive the downloading link and password within ten minutes, and if you don’t receive, just contact us. In addition, CCDAK Exam Dumps are high-quality, and they can ensure you pass the exam just one time. We also pass guarantee and money back guarantee if you fail to pass the exam, and money will be returned to your payment account.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Apache Kafka Fundamentals | 23% | - Delivery semantics: at-most-once, at-least-once, exactly-once - Core concepts: brokers, topics, partitions, replicas, offsets - Configuration basics and cluster setup - Kafka architecture and data flow |
| Topic 2: Apache Kafka Application Development | 28% | - Producer API: configuration, serialization, partitioning, error handling - Transactional messaging and idempotence - Consumer API: configuration, offset management, consumer groups, rebalancing - Schema management: Confluent Schema Registry, compatibility rules, evolution |
| Topic 3: Application Observability | 13% | - Tracing and performance tuning - Error diagnosis and troubleshooting - Logging and monitoring metrics |
| Topic 4: Kafka Connect | 15% | - Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters - Data transformation and integration patterns |
| Topic 5: Application Testing | 8% | - Integration testing and test clusters - Unit testing producers and consumers - Mocking and test utilities |
| Topic 6: Apache Kafka Streams | 12% | - Windowing and time semantics - Error handling and state management - Streams API concepts: topology, processors, state stores - Stream processing operations: map, filter, join, aggregation |
Confluent CCDAK pdf dumps format contains actual CCDAK exam questions. With Confluent CCDAK pdf questions you don’t have to spend a lot of time on Confluent Certified Developer for Apache Kafka Certification Examination Networking Solutions CCDAK exam preparation. You just go through and memorize these real CCDAK exam questions. ExamsTorrent has designed this set of valid Confluent Exam Questions with the assistance of highly qualified professionals. Preparing with these CCDAK Exam Questions is enough to get success on the first try. However, this format of ExamsTorrent CCDAK exam preparation material is best for those who are too much busy in their life and don’t have enough time to prepare for Confluent CCDAK exam.
NEW QUESTION # 38
(You have a topic with four partitions. The application reading this topic is using a consumer group with two consumers.
Throughput is smoothly distributed among partitions, but application lag is increasing.
Application monitoring shows that message processing is consuming all available CPU resources.
Which action should you take to resolve this issue?)
Answer: C
Explanation:
According to the Apache Kafka consumer and scalability documentation, parallelism in message processing is primarily determined by the number of partitions and the number of consumers within a consumer group.
Each partition can be assigned to only one consumer at a time. In this scenario, the topic already has four partitions, but only two consumers are processing them, meaning only two partitions are actively consumed in parallel.
Since monitoring indicates that message processing is CPU-bound, the bottleneck is not Kafka I/O but application-side processing. Adding more consumers (up to the number of partitions) allows Kafka to rebalance the partitions and distribute them across more consumer instances, increasing CPU parallelism and reducing lag.
Option A (adding more partitions) can increase parallelism but is more intrusive and may require repartitioning considerations for keys and downstream systems. Option B increases batch size, which can worsen CPU pressure. Option D may reduce per-poll workload but does not increase parallel processing capacity.
Therefore, the correct and recommended action per Kafka documentation is to add more consumers to the consumer group.
NEW QUESTION # 39
When running a ksqlDB for connectors, what does the IF NOT EXISTS clause do?
Answer: C
NEW QUESTION # 40
Which two producer exceptions are examples of the class RetriableException? (Select two.)
Answer: A,C
Explanation:
BothLeaderNotAvailableExceptionandNotEnoughReplicasExceptionare subclasses of RetriableException, which representstransient issuesthat may succeed upon retry.
FromApache Kafka Java Client Documentation:
"RetriableException indicates that the request can be retried. This includes network errors and certain broker- side failures like leader not available or not enough replicas."
* RecordTooLargeException and AuthorizationException arenon-retriablebecause they represent client misconfigurations or access issues.
Reference:Kafka Error Handling Guide > Retriable vs. Non-Retriable Exceptions
NEW QUESTION # 41
(You need to set alerts on key broker metrics to trigger notifications when a Kafka cluster is unhealthy.
What are three minimum broker metrics to monitor for cluster health?
Select three.)
Answer: A,D,E
Explanation:
The Apache Kafka monitoring and operations documentation highlights several controller-level metrics that are critical indicators of cluster health.
ActiveControllerCount must always be 1 in a healthy cluster. A value of 0 indicates no active controller, while values greater than 1 indicate a serious split-brain condition. This metric is fundamental for cluster stability.
OfflinePartitionsCount is one of the most important health metrics. Any value greater than 0 means that some partitions have no available leader, making them unavailable for producers and consumers. This directly indicates a degraded or unhealthy cluster.
UncleanLeaderElectionsPerSec tracks the rate of unclean leader elections. Unclean elections can cause data loss, and any non-zero value is a strong signal of broker failures or misconfiguration and should immediately trigger alerts.
The remaining options are not minimum health indicators. LastCommittedRecordOffset is not a standard health metric, and TopicsToDeleteCount only indicates pending administrative operations, not cluster instability.
Therefore, the three minimum and officially recommended broker metrics for monitoring Kafka cluster health are UncleanLeaderElectionsPerSec, ActiveControllerCount, and OfflinePartitionsCount.
NEW QUESTION # 42
What's a Kafka partition made of?
Answer: B
Explanation:
Kafka partitions are made of segments (usually each segment is 1GB), and each segment has two corresponding indexes (offset index and time index)
NEW QUESTION # 43
......
Are you still looking for CCDAK exam materials? Don't worry about it, because you find us, which means that you've found a shortcut to pass CCDAK certification exam. With research and development of IT certification test software for years, our ExamsTorrent team had a very good reputation in the world. We provide the most comprehensive and effective help to those who are preparing for the important exams such as CCDAK Exam.
CCDAK Valid Braindumps Ppt: https://www.examstorrent.com/CCDAK-exam-dumps-torrent.html
DOWNLOAD the newest ExamsTorrent CCDAK PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=1Nn4k_kYL7RCFum78dLSsvOCKT9K1iuw3