CCDAK受験内容 & CCDAK PDF問題サンプル

P.S.ShikenPASSがGoogle Driveで共有している無料の2026 Confluent CCDAKダンプ：https://drive.google.com/open?id=19xR67ZYx_kG7IgnNpPwscGdli4MeC3Xt

当社のCCDAK学習教材を購入したこれらの人々を支援するために、当社が提供するCCDAK学習教材の更新と更新を担当する当社の専門家チームがあります。弊社からCCDAK学習教材を購入したいお客様と永続的かつ持続可能な協力関係を築くことをお約束します。 CCDAK学習教材を購入する場合、重要な情報を見逃すことはありません。さらに、更新システムが無料であることをお約束します。

Confluent CCDAK Exam Syllabus Topics:

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

>> CCDAK受験内容 <<

CCDAK PDF問題サンプル & CCDAK試験内容

我々のCCDAK問題集はPDF版、ソフト版とオンライン版を含めて、認証試験のすべての問題を全面的に含めています。このCCDAK問題集の正確率は100％になっています。CCDAK試験を準備しているあなたは無料のサンプルをダウンロードして利用して、あなたはこのふさわしいCCDAK問題集を発見することができます。

Confluent Certified Developer for Apache Kafka Certification Examination 認定 CCDAK 試験問題 (Q41-Q46):

質問 # 41
A consumer wants to read messages from partitions 0 and 1 of a topic topic1. Code snippet is shown below.
consumer.subscribe(Arrays.asList("topic1"));
List<TopicPartition> pc = new ArrayList<>();
pc.add(new PartitionTopic("topic1", 0));
pc.add(new PartitionTopic("topic1", 1));
consumer.assign(pc);

A. Throws IllegalStateException
B. This works fine. subscribe() will subscribe to the topic and assign() will assign partitions to the consumer.

正解：A

解説：
subscribe() and assign() cannot be called by the same consumer, subscribe() is used to leverage the consumer group mechanism, while assign() is used to manually control partition assignment and reads assignment

質問 # 42
A topic receives all the orders for the products that are available on a commerce site. Two applications want to process all the messages independently - order fulfilment and monitoring. The topic has 4 partitions, how would you organise the consumers for optimal performance and resource usage?

A. Create two consumer groups for two applications with 4 consumers in each
B. Create four consumers in the same group, one for each partition - two for fulfilment and two for monitoring
C. Create 8 consumers in the same group with 4 consumers for each application
D. Create two consumers groups for two applications with 8 consumers in each

正解：A

解説：
two partitions groups - one for each application so that all messages are delivered to both the application. 4 consumers in each as there are 4 partitions of the topic, and you cannot have more consumers per groups than the number of partitions (otherwise they will be inactive and wasting resources)

質問 # 43
A Kafka cluster has four brokers with a topic t1 with eight partitions. A client application has just one broker specified in the bootstrap URL.
Brokers:
b1.host.domain.com
b2.host.domain.com
b3.host.domain.com
b4.host.domain.com
Bootstrap URL:
b2.host.domain.com
What would be the impact of such configuration?

A. Consumers and producers will get NotEnoughReplicasException.
B. Consumers and producers will only be able to consume and produce from partitions on broker b2.
C. Consumers and producers will not be able to consume or produce any messages.
D. Consumers and producers will work as expected as long as broker b2 is available.

正解：D

質問 # 44
An application is consuming messages from Kafka. You observe partitions being frequently reassigned to the consumer group from the application logs.
Which factors may be contributing to this? (Choose 2.)

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

正解：D

質問 # 45
What are three built-in abstractions in the Kafka Streams DSL?
(Select three.)

A. GlobalKTable
B. KStream
C. KTable
D. StreamTable
E. GlobalKStream

正解：A、B、C

解説：
TheKafka Streams DSLprovides three primary abstractions:
* KStream: Represents an unbounded stream of records (append-only).
* KTable: Represents a changelog stream where each key has the latest value (like a materialized view).
* GlobalKTable: A fully replicated version of KTable across all stream instances, enabling global joins.
FromKafka Streams Developer Guide:
"Kafka Streams provides three core abstractions: KStream, KTable, and GlobalKTable, each serving different purposes in stream processing and joins."
* GlobalKStream and StreamTable donot existin Kafka's API.
Reference:Kafka Streams Concepts > KStream, KTable, GlobalKTable

質問 # 46
......

CCDAK学習資料の内容はすべて、Confluent長年にわたる試験の概要と業界の発展動向に基づいて、ShikenPASS業界の専門家によって編集されています。 CCDAK試験ガイドは、単なるテスト問題のパッチワークではなく、独自のシステムと階層レベルを備えているため、ユーザーは効果的に改善できます。 CCDAK学習資料には、さまざまな被験者の特性と範囲に応じて試験の専門家が作成したテストペーパーが含まれています。また、CCDAK試験の質問で勉強すると、Confluent Certified Developer for Apache Kafka Certification Examination試験に合格することになります。

CCDAK PDF問題サンプル: https://www.shikenpass.com/CCDAK-shiken.html

無料でクラウドストレージから最新のShikenPASS CCDAK PDFダンプをダウンロードする：https://drive.google.com/open?id=19xR67ZYx_kG7IgnNpPwscGdli4MeC3Xt