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To prepare for the CCDAK certification exam, Confluent offers a range of training courses and resources, including instructor-led training, online courses, and practice exams. These resources can help developers to gain the knowledge and skills necessary to pass the exam and earn their CCDAK certification. Overall, the CCDAK certification exam is a valuable tool for Kafka developers looking to validate their skills and demonstrate their expertise in the field.

Confluent CCDAK (Confluent Certified Developer for Apache Kafka) certification exam is designed for software developers who want to demonstrate their proficiency in building Kafka-based applications. Kafka is an open-source distributed messaging system that allows applications to exchange messages in real-time. It offers a highly scalable, fault-tolerant, and reliable platform for building large-scale distributed systems. The CCDAK Exam Tests the candidate's ability to work with Kafka and its ecosystem components e.g., producer, consumer, connectors, and streams API.

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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 Certification Examination Sample Questions (Q21-Q26):

NEW QUESTION # 21
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: B,C,D

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 # 22
There are two consumers C1 and C2 belonging to the same group G subscribed to topics T1 and T2. Each of the topics has 3 partitions. How will the partitions be assigned to consumers with Partition Assigner being Round Robin Assigner?

Answer: B

Explanation:
The correct option is the only one where the two consumers share an equal number of partitions amongst the two topics of three partitions. An interesting article to read ishttps://medium.com/@anyili0928/what-i-have-learned-from-kafka-partition-assignment-strategy-799fdf15d3ab


NEW QUESTION # 23
What are the requirements for a Kafka broker to connect to a Zookeeper ensemble? (select two)

Answer: C,D

Explanation:
Each broker must have a unique broker id and connect to the same zk ensemble and root zNode


NEW QUESTION # 24
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: C

Explanation:
If more than one similar config is specified, the smaller unit size will take precedence.


NEW QUESTION # 25
A kafka topic has a replication factor of 3 and min.insync.replicas setting of 1. What is the maximum number of brokers that can be down so that a producer with acks=all can still produce to the topic?

Answer: C

Explanation:
Two brokers can go down, and one replica will still be able to receive and serve data


NEW QUESTION # 26
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