P.S. Free & New CCDAK dumps are available on Google Drive shared by ActualtestPDF: https://drive.google.com/open?id=12ezzYPifam_ZQYJT6LraBQv6ZelpNES-
As long as you face problems with the CCDAK exam, our company is confident to help you solve. Give our CCDAK practice quiz a choice is to give you a chance to succeed. We are very willing to go hand in hand with you on the way to preparing for CCDAK Exam. And we have three different versions of our CCDAK learning materials, you will find that it is so interesting and funny to study with our study guide.
The CCDAK certification program is designed for developers who are looking to improve their skills and knowledge in Kafka development. Confluent Certified Developer for Apache Kafka Certification Examination certification program provides a comprehensive and structured approach to learning Kafka and its related technologies. By passing the CCDAK certification exam, developers can demonstrate their proficiency in Kafka development, which can lead to better job opportunities and higher salaries. The CCDAK Certification program is an excellent way for developers to validate their skills and knowledge in Kafka development, and it is a valuable asset for individuals and organizations that use Kafka for data streaming and processing.
>> Reliable CCDAK Test Question <<
All kinds of exams are changing with dynamic society because the requirements are changing all the time. To keep up with the newest regulations of the CCDAK exam, our experts keep their eyes focusing on it. And the CCDAK study tool can provide a good learning platform for users who want to get the test CCDAK Certification in a short time. If you can choose to trust us, I believe you will have a good experience when you use the Confluent Certified Developer study guide, and you can pass the exam and get a good grade in the test CCDAK certification.
Confluent Certified Developer for Apache Kafka (CCDAK) Certification Examination is a highly regarded certification program that is designed to test an individual’s knowledge of Apache Kafka and its associated technologies. Confluent Certified Developer for Apache Kafka Certification Examination certification program is offered by Confluent, a leading company in the field of event streaming platforms, and is aimed at developers who want to demonstrate their expertise in building applications that utilize the Kafka ecosystem.
NEW QUESTION # 74
(You have a Kafka Connect cluster with multiple connectors deployed.
One connector is not working as expected.
You need to find logs related to that specific connector to investigate the issue.
How can you find the connector's logs?)
Answer: B
Explanation:
The official Apache Kafka Connect documentation explains that connectors run within the same worker JVM, and all logs are written through the worker's logging framework (Log4j or Log4j2). To isolate logs for a specific connector, Kafka Connect supports connector-specific logging contexts, which can be routed to separate log files using logging configuration.
By modifying the log4j.properties (or log4j2.xml) file to define a dedicated logger and appender for the connector's package or class name, you can direct logs from that connector to a separate file. This is the recommended and documented approach for debugging individual connectors in a shared Connect cluster.
Option A is incorrect because there is no generic "enable connector context" switch. Option B may increase verbosity but does not isolate logs per connector. Option D is false; Kafka Connect explicitly supports connector-level log separation through logging configuration.
Therefore, the correct approach is to configure a dedicated log appender for the specific connector.
NEW QUESTION # 75
(Which configuration determines the maximum number of records a consumer can poll in a single call to poll()?)
Answer: D
Explanation:
The Apache Kafka consumer configuration max.poll.records explicitly controls the maximum number of records returned in a single call to Consumer.poll(). This is clearly documented in the official Kafka consumer configuration reference. It allows developers to limit the size of the batch returned to the application, helping to control processing latency, memory usage, and CPU load.
This setting does not affect how much data the broker sends to the consumer; instead, it limits how many records the consumer returns to the application layer from the fetched data. This makes it especially useful for applications where processing each record is expensive and needs predictable batch sizes.
Option B (max.records.consumer) does not exist in Kafka. Option C (fetch.max.records) is also invalid; Kafka uses fetch.max.bytes and related byte-based configurations, not record-count limits, at the fetch level. Option D (max.poll.records.interval) is not a valid Kafka configuration; the correct related setting is max.poll.interval.
ms, which controls liveness, not batch size.
Thus, max.poll.records is the correct and officially documented configuration.
NEW QUESTION # 76
You need to configure a sink connector to write records that fail into a dead letter queue topic. Requirements:
Topic name: DLQ-Topic
Headers containing error context must be added to the messagesWhich three configuration parameters are necessary?(Select three.)
Answer: A,B,C
Explanation:
To send failed records to a dead letter queue (DLQ), you must configure:
errors.tolerance=all: Tells the connector to not fail on errors but handle them (e.g., send to DLQ).
errors.deadletterqueue.topic.name=DLQ-Topic: Specifies the DLQ topic.
errors.deadletterqueue.context.headers.enable=true: Includes error context in message headers.
From Kafka Connect Error Handling Docs:
"Kafka Connect supports directing problematic records to a separate topic (DLQ) using errors.* configs.
Headers can include failure metadata."
Options D, E, F are related to logging, not DLQ behavior.
Reference: Kafka Connect Configurations > Error Handling
NEW QUESTION # 77
To transform data from a Kafka topic to another one, I should use
Answer: A
Explanation:
Kafka Streams is a library for building streaming applications, specifically applications that transform input Kafka topics into output Kafka topics
NEW QUESTION # 78
You need to set alerts on key broker metrics to trigger notifications when the cluster is unhealthy.
Which are three minimum broker metrics to monitor?
(Select three.)
Answer: C,D,E
Explanation:
These three metrics are critical for cluster health:
* OfflinePartitionsCount: Indicates partitions without active leaders - a sign of broker failure.
* ActiveControllerCount: There should beexactly one active controller. A count # 1 signals controller failure.
* UncleanLeaderElectionsPerSec: Tracks leader elections where out-of-sync replicas were selected - risky for data loss.
FromKafka Monitoring Documentation:
"Offline partitions and unclean leader elections should trigger alerts. Also, ensure a single active controller is running."
* A is about topics pending deletion - not critical.
* E is a per-topic record metric, not broker-level.
Reference:Kafka Monitoring > Key JMX Metrics
NEW QUESTION # 79
......
CCDAK Reliable Test Price: https://www.actualtestpdf.com/Confluent/CCDAK-practice-exam-dumps.html
DOWNLOAD the newest ActualtestPDF CCDAK PDF dumps from Cloud Storage for free: https://drive.google.com/open?id=12ezzYPifam_ZQYJT6LraBQv6ZelpNES-