CCDAK시험패스가능한인증공부최신버전덤프문제다운로드

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DumpTOP의Confluent인증 CCDAK덤프는 인터넷에서 검색되는Confluent인증 CCDAK시험공부자료중 가장 출중한 시험준비 자료입니다. Confluent인증 CCDAK덤프를 공부하면 시험패스는 물론이고 IT지식을 더 많이 쌓을수 있어 일거량득입니다.자격증을 취득하여 자신있게 승진하여 연봉협상하세요.

Confluent CCDAK Exam Syllabus Topics:

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

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Confluent CCDAK인증시험 공부자료, CCDAK합격보장 가능 공부

DumpTOP의 Confluent CCDAK 덤프로 시험을 준비하면Confluent CCDAK시험패스를 예약한것과 같습니다. 가장 최근 출제된Confluent CCDAK시험문제를 바탕으로 만들어진 적중율 최고인 덤프로서 간단한 시험패스는 더는 꿈이 아닙니다. 덤프는 pdf파일과 온라인서비스로 되어있는데 pdf버전은 출력가능하고 온라인버전은 휴대폰에서도 작동가능합니다.

최신 Confluent Certified Developer CCDAK 무료샘플문제 (Q29-Q34):

질문 # 29
The producer code below features a Callback class with a method called onCompletion().
In the onCompletion() method, when the request is completed successfully, what does the value metadata.offset() represent?

A. Its position in the producer's batch of messages
B. The sequential ID of the message committed into a partition
C. The number of bytes that overflowed beyond a producer batch of messages
D. The ID of the partition to which the message was committed

정답：B

설명：
The offset in the RecordMetadata object returned by the producerrepresents the position of the record in the partition- i.e., thesequential IDassigned by Kafka once the message is committed.
FromKafka Producer API Documentation:
"The offset is the position of the record in the partition. This is a unique, sequential number assigned by the broker."
* D refers to metadata.partition(), not offset().
* B and C are unrelated to how Kafka handles committed offsets.
Reference:Kafka Producer Java API > RecordMetadata

질문 # 30
An application is consuming messages from Kafka.
The application logs show that partitions are frequently being reassigned within the consumer group.
Which two factors may be contributing to this?
(Select two.)

A. There is a slow consumer processing application.
B. An instance of the application is crashing and being restarted.
C. There is a storage issue on the broker.
D. The number of partitions does not match the number of application instances.

정답：A,B

설명：
Frequentrebalancesin a consumer group occur when:
* Consumers are too slowand miss heartbeats (A), or
* Instances crash or restart, triggering group membership changes (D)
FromKafka Consumer Group Coordination Docs:
"If a consumer fails to send a heartbeat in time (due to slowness or crash), it is removed from the group, causing a rebalance." Option B (partition mismatch) affectsload balancing, not rebalance frequency.
Option C (broker storage) doesn't trigger consumer rebalances.
Reference:Kafka Consumer Group Coordination and Heartbeats

질문 # 31
You are receiving orders from different customer in an "orders" topic with multiple partitions. Each message has the customer name as the key. There is a special customer named ABC that generates a lot of orders and you would like to reserve a partition exclusively for ABC. The rest of the message should be distributed among other partitions. How can this be achieved?

A. Add metadata to the producer record
B. Create a custom partitioner
C. Define a Kafka Broker routing rule
D. All messages with the same key will go the same partition, but the same partition may have messages with different keys. It is not possible to reserve

정답：B

설명：
A Custom Partitioner allows you to easily customise how the partition number gets computed from a source message.

질문 # 32
You want to connect with username and password to a secured Kafka cluster that has SSL encryption.
Which properties must your client include?

A. security.protocol=PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.ssl.
TlsLoginModule required username='myUser' password='myPassword';
B. security.protocol=SASL_PLAINTEXTsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';
C. security.protocol=SASL_SSLsasl.jaas.config=org.apache.kafka.common.security.plain.
PlainLoginModule required username='myUser' password='myPassword';
D. security.protocol=SSLsasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username='myUser' password='myPassword';

정답：C

설명：
For SASL/PLAIN authentication over SSL, the correct combination is:
security.protocol=SASL_SSL
sasl.jaas.config=...PlainLoginModule required username=... password=...
From Kafka Security Documentation:
"For SASL/PLAIN over SSL, configure security.protocol=SASL_SSL and provide login module configuration using sasl.jaas.config." Options B and D are incorrect because they do not pair the correct protocol with the authentication method.
Reference: Apache Kafka Security Configs > SASL_SSL, PLAIN mechanism

질문 # 33
When using plain JSON data with Connect, you see the following error messageorg.apache.kafka.connect.
errors.DataExceptionJsonDeserializer with schemas.enable requires "schema" and "payload" fields and may not contain additional fields. How will you fix the error?

A. Use Single Message Transforms to add schema and payload fields in the message
B. Set key.converter, value.converter to JsonConverter and the schema registry url
C. Set key.converter.schemas.enable and value.converter.schemas.enable to false
D. Set key.converter, value.converter to AvroConverter and the schema registry url

정답：C

설명：
You will need to set the schemas.enable parameters for the converter to false for plain text with no schema.

질문 # 34
......

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CCDAK인증시험 공부자료: https://www.dumptop.com/Confluent/CCDAK-dump.html

그리고 DumpTOP CCDAK 시험 문제집의 전체 버전을 클라우드 저장소에서 다운로드할 수 있습니다: https://drive.google.com/open?id=1ikVRQv4OGw-lzx0-kVsYDg378uiUsONx