Latest CCDAK Braindumps Sheet - Valid Braindumps CCDAK Questions

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Confluent CCDAK Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Application Testing8%- Mocking and test utilities
- Unit testing producers and consumers
- Integration testing and test clusters
Topic 2: 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
Topic 3: Apache Kafka Fundamentals23%- Configuration basics and cluster setup
- Kafka architecture and data flow
- Core concepts: brokers, topics, partitions, replicas, offsets
- Delivery semantics: at-most-once, at-least-once, exactly-once
Topic 4: Apache Kafka Streams12%- Stream processing operations: map, filter, join, aggregation
- Streams API concepts: topology, processors, state stores
- Error handling and state management
- Windowing and time semantics
Topic 5: Application Observability13%- Tracing and performance tuning
- Logging and monitoring metrics
- Error diagnosis and troubleshooting
Topic 6: 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 (Q83-Q88):

NEW QUESTION # 83
(You are implementing a Kafka Streams application to process financial transactions.
Each transaction must be processed exactly once to ensure accuracy.
The application reads from an input topic, performs computations, and writes results to an output topic.
During testing, you notice duplicate entries in the output topic, which violates the exactly-once processing requirement.
You need to ensure exactly-once semantics (EOS) for this Kafka Streams application.
Which step should you take?)

Answer: D

Explanation:
According to the official Apache Kafka documentation for Kafka Streams, exactly-once semantics (EOS) are controlled using the processing.guarantee configuration. To ensure that each input record is processed once and only once, and that the results are written atomically to the output topic, Kafka Streams provides built-in EOS support.
The correct and recommended configuration is processing.guarantee=exactly_once_v2, which is the default EOS implementation starting from Kafka 3.0. This mode uses Kafka's transactional APIs to atomically commit consumer offsets and produce output records within a single transaction. As documented, this prevents duplicates even in the presence of failures, retries, or application restarts.
Option A is incorrect because log compaction does not guarantee exactly-once processing; it only retains the latest record per key. Option B is insufficient because enable.idempotence alone does not handle consumer offset commits or state store consistency in Kafka Streams. Option C is invalid because no such configuration exists in Kafka Streams.
Therefore, setting processing.guarantee=exactly_once_v2 is the only fully correct and officially supported solution for achieving EOS in Kafka Streams applications.


NEW QUESTION # 84
What is true about partitions? (select two)

Answer: C,D

Explanation:
Only one of the replicas is elected as partition leader. And a broker can definitely hold many partitions from the same topic on its disk, try creating a topic with 12 partitions on one broker!


NEW QUESTION # 85
Which of the following Kafka Streams operators are stateful? (select all that apply)

Answer: A,B,C,D

Explanation:
Seehttps://kafka.apache.org/20/documentation/streams/developer-guide/dsl-api.html#stateful-transformations


NEW QUESTION # 86
You are writing to a topic with acks=all.
The producer receives acknowledgments but you notice duplicate messages.
You find that timeouts due to network delay are causing resends.
Which configuration should you use to prevent duplicates?

Answer: D

Explanation:
To ensureexactly-once deliveryand avoid duplicates even during retries:
* enable.idempotence=trueensures deduplication on the broker
* retries=2147483647allows unlimited retries on retriable errors
* max.in.flight.requests.per.connection=5is themaximum value that preserves message order with idempotence FromKafka Producer Config Docs:
"To achieve exactly-once semantics, set enable.idempotence=true, and max.in.flight.requests.per.connection #
5."
* A is unrelated (consumer-side)
* C disables retries
* D disables idempotence, leading to duplicates
Reference:Kafka Producer Configs > enable.idempotence, retries


NEW QUESTION # 87
In Avro, adding an element to an enum without a default is a __ schema evolution

Answer: C

Explanation:
Since Confluent 5.4.0, Avro 1.9.1 is used. Since default value was added to enum complex type , the schema resolution changed from:
(<1.9.1) if both are enums:** if the writer's symbol is not present in the reader's enum, then an error is signalled. **(>=1.9.1) if both are enums:
if the writer's symbol is not present in the reader's enum and the reader has a default value, then that value is used, otherwise an error is signalled.


NEW QUESTION # 88
......

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