시험대비CCDAK퍼펙트덤프샘플문제다운공부하기

그리고 PassTIP CCDAK 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1Z_v93Yn88axwYO11amrxGSPFFNdd201l

PassTIP의 Confluent인증 CCDAK덤프를 구매하시면 1년동안 무료 업데이트서비스버전을 받을수 있습니다. 시험문제가 변경되면 업데이트 하도록 최선을 다하기에PassTIP의 Confluent인증 CCDAK덤프의 유효기간을 연장시켜드리는 셈입니다.퍼펙트한 구매후는 서비스는PassTIP의 Confluent인증 CCDAK덤프를 구매하시면 받을수 있습니다.

Confluent CCDAK Exam Syllabus Topics:

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

>> CCDAK퍼펙트 덤프 샘플문제 다운 <<

CCDAK시험합격, CCDAK퍼펙트 최신 덤프

IT인증자격증은 여느때보다 강렬한 경쟁율을 보이고 있습니다. Confluent 인증CCDAK시험을 통과하시면 취직 혹은 승진이나 연봉협상에 많은 도움이 되어드릴수 있습니다. Confluent 인증CCDAK시험이 어려워서 통과할 자신이 없다구요? PassTIP덤프만 있으면 이런 고민은 이제 그만 하지않으셔도 됩니다. PassTIP에서 출시한 Confluent 인증CCDAK덤프는 시장에서 가장 최신버전입니다.

최신 Confluent Certified Developer CCDAK 무료샘플문제 (Q23-Q28):

질문 # 23
(You are designing a stream pipeline to monitor the real-time location of GPS trackers, where historical location data is not required.
Each event has:
* Key: trackerId
* Value: latitude, longitude
You need to ensure that the latest location for each tracker is always retained in the Kafka topic.
Which topic configuration parameter should you set?)

정답:B

설명:
According to the official Apache Kafka documentation, log compaction is the mechanism used to retain only the latest record for each key in a topic. By setting cleanup.policy=compact, Kafka ensures that older records with the same key are eventually removed, leaving only the most recent value for each key.
This behavior is exactly suited for use cases such as tracking the current state of an entity, including GPS tracker locations, user profiles, or configuration data. In this scenario, the key (trackerId) uniquely identifies a tracker, and the value represents its most recent latitude and longitude.
Option B (retention.ms=infinite) retains all historical data, which contradicts the requirement. Option C (min.
cleanable.dirty.ratio) controls when compaction runs, not what data is retained. Option D (retention.ms=0) would immediately delete all data and is unsafe.
Therefore, setting cleanup.policy=compact is the correct and officially documented solution to always retain the latest location per tracker.


질문 # 24
You have a consumer group of 12 consumers and when a consumer gets killed by the process management system, rather abruptly, it does not trigger a graceful shutdown of your consumer. Therefore, it takes up to 10 seconds for a rebalance to happen. The business would like to have a 3 seconds rebalance time. What should you do? (select two)

정답:B,E

설명:
session.timeout.ms must be decreased to 3 seconds to allow for a faster rebalance, and the heartbeat thread must be quicker, so we also need to decrease heartbeat.interval.ms


질문 # 25
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?

정답:C

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


질문 # 26
In Avro, adding an element to an enum without a default is a __ schema evolution

정답:A

설명:
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.


질문 # 27
You need to configure a sink connector to write records that fail into a dead letter queue topic.
Requirements:
* Topic name: DLQ-Topic
* Headers containing error context must be added to the messagesWhich three configuration parameters are necessary?(Select three.)

정답:B,D,E

설명:
To send failed records to adead letter queue (DLQ), you must configure:
* errors.tolerance=all: Tells the connector tonot failon errors but handle them (e.g., send to DLQ).
* errors.deadletterqueue.topic.name=DLQ-Topic: Specifies the DLQ topic.
* errors.deadletterqueue.context.headers.enable=true: Includes error context in message headers.
FromKafka Connect Error Handling Docs:
"Kafka Connect supports directing problematic records to a separate topic (DLQ) using errors.* configs.
Headers can include failure metadata."
Options D, E, F are related tologging, not DLQ behavior.
Reference:Kafka Connect Configurations > Error Handling


질문 # 28
......

Confluent인증 CCDAK시험을 패스해서 자격증을 취득하려고 하는데 시험비며 학원비며 공부자료비며 비용이 만만치 않다구요? 제일 저렴한 가격으로 제일 효과좋은PassTIP 의 Confluent인증 CCDAK덤프를 알고 계시는지요? PassTIP 의 Confluent인증 CCDAK덤프는 최신 시험문제에 근거하여 만들어진 시험준비공부가이드로서 학원공부 필요없이 덤프공부만으로도 시험을 한방에 패스할수 있습니다. 덤프를 구매하신분은 철저한 구매후 서비스도 받을수 있습니다.

CCDAK시험합격: https://www.passtip.net/CCDAK-pass-exam.html

참고: PassTIP에서 Google Drive로 공유하는 무료 2026 Confluent CCDAK 시험 문제집이 있습니다: https://drive.google.com/open?id=1Z_v93Yn88axwYO11amrxGSPFFNdd201l