Confluent CCDAK Latest Version | Certification CCDAK Exam Dumps

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Confluent CCDAK Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Application Observability	13%	- Tracing and performance tuning - Error diagnosis and troubleshooting - Logging and monitoring metrics
Topic 2: Kafka Connect	15%	- Data transformation and integration patterns - Source and sink connectors configuration - Connect architecture: workers, connectors, tasks, converters
Topic 3: Apache Kafka Application Development	28%	- Consumer API: configuration, offset management, consumer groups, rebalancing - Producer API: configuration, serialization, partitioning, error handling - Schema management: Confluent Schema Registry, compatibility rules, evolution - Transactional messaging and idempotence
Topic 4: Apache Kafka Streams	12%	- Streams API concepts: topology, processors, state stores - Windowing and time semantics - Stream processing operations: map, filter, join, aggregation - Error handling and state management
Topic 5: Apache Kafka Fundamentals	23%	- Core concepts: brokers, topics, partitions, replicas, offsets - Configuration basics and cluster setup - Kafka architecture and data flow - Delivery semantics: at-most-once, at-least-once, exactly-once
Topic 6: Application Testing	8%	- Mocking and test utilities - Unit testing producers and consumers - Integration testing and test clusters

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q45-Q50):

NEW QUESTION # 45
You want to send a message of size 3 MB to a topic with default message size configuration. How does KafkaProducer handle large messages?

A. KafkaProducer divides messages into sizes of max.request.size and sends them in order
B. KafkaProducer divides messages into sizes of message.max.bytes and sends them in order
C. MessageSizeTooLarge exception will be thrown, KafkaProducer retries until the number of retries are exhausted
D. MessageSizeTooLarge exception will be thrown, KafkaProducer will not retry and return exception immediately

Answer: D

Explanation:
MessageSizeTooLarge is not a retryable exception.

NEW QUESTION # 46
What's is true about Kafka brokers and clients from version 0.10.2 onwards?

A. A newer client can talk to a newer broker, and an older client can talk to a newer broker
B. Clients and brokers must have the exact same version to be able to communicate
C. A newer client can talk to a newer broker, but an older client cannot talk to a newer broker
D. A newer client can't talk to a newer broker, but an older client can talk to a newer broker

Answer: A

Explanation:
Kafka's new bidirectional client compatibility introduced in 0.10.2 allows this. Read more herehttps://www.confluent.io/blog/upgrading-apache-kafka-clients-just-got-easier/

NEW QUESTION # 47
A producer application in a developer machine was able to send messages to a Kafka topic. After copying the producer application into another developer's machine, the producer is able to connect to Kafka but unable to produce to the same Kafka topic because of an authorization issue. What is the likely issue?

A. The Kafka Broker needs to be rebooted
B. The Kafka ACL does not allow another machine IP
C. Broker configuration needs to be changed to allow a different producer
D. You cannot copy a producer application from one machine to another

Answer: B

Explanation:
ACLs take "Host" as a parameter, which represents an IP. It can be * (all IP), or a specific IP. Here, it's a specific IP as moving a producer to a different machine breaks the consumer, so the ACL needs to be updated

NEW QUESTION # 48
You have a Zookeeper cluster that needs to be able to withstand the loss of 2 servers and still be able to function. What size should your Zookeeper cluster have?

A. 0
B. 1
C. 2
D. 3
E. 4

Answer: A

Explanation:
Your Zookeeper cluster needs to have an odd number of servers, and must maintain a majority of servers up to be able to vote. Therefore, a 2N+1 zookeeper cluster can survive to N zookeeper being down, so here the right answer is N=2, 2*N+1=5

NEW QUESTION # 49
What is the function of Kafka Connect Converters?

A. Make simple updates to data as it is written to and read from Kafka topics.
B. Isolate the producer and consumer work from the source and sink connectors.
C. Serialize data written to and deserialize data read from Kafka topics.
D. Convert data from the structure used by the source system to the standard Connect structure.

Answer: C

NEW QUESTION # 50
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