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Confluent CCDAK Exam Syllabus Topics:

SectionWeightObjectives
Apache Kafka Application Development28%- Transactional messaging and idempotence
- Schema management: Confluent Schema Registry, compatibility rules, evolution
- Consumer API: configuration, offset management, consumer groups, rebalancing
- Producer API: configuration, serialization, partitioning, error handling
Application Observability13%- Logging and monitoring metrics
- Error diagnosis and troubleshooting
- Tracing and performance tuning
Apache Kafka Fundamentals23%- Kafka architecture and data flow
- Core concepts: brokers, topics, partitions, replicas, offsets
- Delivery semantics: at-most-once, at-least-once, exactly-once
- Configuration basics and cluster setup
Apache Kafka Streams12%- Error handling and state management
- Streams API concepts: topology, processors, state stores
- Windowing and time semantics
- Stream processing operations: map, filter, join, aggregation
Application Testing8%- Mocking and test utilities
- Unit testing producers and consumers
- Integration testing and test clusters
Kafka Connect15%- Connect architecture: workers, connectors, tasks, converters
- Data transformation and integration patterns
- Source and sink connectors configuration

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q44-Q49):

NEW QUESTION # 44
In the Kafka consumer metrics it is observed that fetch-rate is very high and each fetch is small. What steps will you take to increase throughput?

Answer: D

Explanation:
This will allow consumers to wait and receive more bytes in each fetch request.


NEW QUESTION # 45
A bank uses a Kafka cluster for credit card payments. What should be the value of the property unclean.leader.
election.enable?

Answer: B

Explanation:
Setting unclean.leader.election.enable to true means we allow out-of-sync replicas to become leaders, we will lose messages when this occurs, effectively losing credit card payments and making our customers very angry.


NEW QUESTION # 46
You are composing a REST request to create a new connector in a running Connect cluster. You invoke POST /connectors with a configuration and receive a 409 (Conflict) response.
What are two reasons for this response? (Select two.)

Answer: B,C

Explanation:
A409 Conflictresponse in Kafka Connect REST API usually means:
* The connector name provided already exists (i.e., a connector with that name is already deployed).
* The Kafka Connect cluster is temporarily unavailable to accept new tasks due toa rebalance in progress.
From theConfluent Developer documentationand Kafka Connect REST API spec:
"409 - Conflict. The connector name is already in use or the worker group is in the process of rebalancing and cannot complete the request at this time." Option A is incorrect because invalid configurations return400 Bad Request, not 409.
Option B is invalid because Kafka Connect does not have a strict concept of "capacity" that prevents connector creation with a 409.
Reference:Apache Kafka Connect REST API documentation


NEW QUESTION # 47
A consumer starts and has auto.offset.reset=none, and the topic partition currently has data for offsets going from 45 to 2311. The consumer group has committed the offset 10 for the topic before. Where will the consumer read from?

Answer: C

Explanation:
auto.offset.reset=none means that the consumer will crash if the offsets it's recovering from have been deleted from Kafka, which is the case here, as 10 < 45


NEW QUESTION # 48
If you enable an SSL endpoint in Kafka, what feature of Kafka will be lost?

Answer: C

Explanation:
With SSL, messages will need to be encrypted and decrypted, by being first loaded into the JVM, so you lose the zero copy optimization. See more information herehttps://twitter.com/ijuma/status
/1161303431501324293?s=09


NEW QUESTION # 49
......

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