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Confluent CCDAK Exam Syllabus Topics:

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

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Confluent Certified Developer for Apache Kafka Certification Examination Sample Questions (Q40-Q45):

NEW QUESTION # 40
Which statement describes the storage location for a sink connector's offsets?

Answer: D

Explanation:
Kafka Connectsink connectorsuse thestandard Kafka consumer mechanismto track offsets, which means offsets are stored in the__consumer_offsets internal topic.
FromKafka Connect Documentation:
"Sink connectors are regular Kafka consumers and store their offsets in the __consumer_offsets topic like any other consumer."
* The other options refer tosource connectorsor worker configuration.
* offsets.storage.topic is relevant forsource connectors.
Reference:Kafka Connect Concepts > Sink Connectors and Offset Storage


NEW QUESTION # 41
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 # 42
Which configuration determines how many bytes of data are collected before sending messages to the Kafka broker?

Answer: D

Explanation:
Thebatch.sizeconfig sets themaximum number of bytes to batch per partitionbefore sending. This allows Kafka producers toamortize I/Oand improve throughput.
FromKafka Producer Configuration Docs:
"batch.size is the maximum amount of data per partition the producer will batch before sending."
* buffer.memory sets total memory for the producer, not per-batch.
* send.buffer.bytes is aTCP socket buffer, not a Kafka config.
* max.block.ms controls blocking time, not size.
Reference:Kafka Producer Configs > batch.size


NEW QUESTION # 43
There are 3 producers writing to a topic with 5 partitions. There are 5 consumers consuming from the topic. How many Controllers will be present in the cluster?

Answer: C

Explanation:
There is only one controller in a cluster at all times.


NEW QUESTION # 44
In Kafka, every broker... (select three)

Answer: B,D,F

Explanation:
Kafka topics are divided into partitions and spread across brokers. Each brokers knows about all the metadata and each broker is a bootstrap broker, but only one of them is elected controller


NEW QUESTION # 45
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