当社のWebサイトにある優れたCAP-C01学習教材の助けを借りてCAP-C01試験を受ける準備ができている場合、選択は素晴らしいものになります。 CAP-C01トレーニング資料は優れた選択肢であり、特にCAP-C01試験に時間をかけずに合格し、成功することに熱心な方に役立ちます。 それに加えて、CAP-C01の調査問題には3つのバージョンがあります。PDFバージョン、ソフトバージョン、およびAPPバージョンです。これらは興味深く、選択するのに役立ちます。
| Section | Weight | Objectives |
|---|---|---|
| Core Infrastructure Deep Dive | 26% | - Object Storage Service (OSS) and storage solutions - File Storage NAS and block storage - Elastic Compute Service (ECS) and serverless computing |
| Building Highly Available, Performant Cloud Architecture | 22% | - Multi-zone deployment and disaster recovery - Performance optimization and resilience design - Auto Scaling and Server Load Balancer (SLB) |
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - VPC design and configuration - Express Connect and VPN Gateway - Network routing and security groups |
| Securing Workloads on Alibaba Cloud | 22% | - Data security and compliance best practices - Resource Access Management (RAM) and identity control - WAF, Anti-DDoS and network protection |
| Delivering Services and Content on Alibaba Cloud | 12% | - Alibaba Cloud DNS and domain management - Service integration and access optimization - CDN and content delivery strategies |
>> Alibaba Cloud CAP-C01技術問題 <<
現代の競争が激しくても、受験者がCAP-C01参考書に対するニーズを止めることができません。CAP-C01参考書についてもっと具体的な情報を得るために、Fast2test会社のウエブサイトを訪問していただきます。そうすれば、実際のCAP-C01試験についての情報と特徴を得ることができます。興味を持つお客様はAlibaba Cloud会社のウエブサイトから無料でデモをダウンロードできます。
質問 # 40
Sandra hosts a web application on a single ECS instance that stores documents uploaded by users in an EBS data disk. As the requirements grow, they duplicate the application and host it in a second ECS instance in a different zone. An ALB instance is used to distribute traffic between these ECS instances. However, after completing this change, users reported that every time they access the web application, they could only see some of their documents at any given time, but never all of the documents at the same time.
As a Cloud Architect, how would you solve this issue?
正解：D
解説：
The architectural defect is that application state is stored independently on local block storage attached to each ECS instance. ALB can route successive requests to either backend, so each server exposes only the files stored on its own EBS disk. The correct solution is therefore to separate persistent shared data from individual compute instances.
Alibaba Cloud File Storage NAS provides shared file storage that can be mounted concurrently by multiple ECS instances. A single NAS file system becomes the authoritative repository for uploaded documents, so regardless of which ECS instance receives a request, both instances access the same underlying dataset.
Alibaba Cloud explicitly supports mounting NAS on multiple ECS instances for shared access.
Periodic EBS synchronization is operationally fragile and introduces consistency windows. ALB session persistence would merely hide the architectural problem and would fail when an ECS instance becomes unavailable or is replaced. Sending every request to both servers would also complicate application logic and still leave divergent storage.
Moving the data to NAS converts the application tier into a horizontally scalable compute layer while maintaining one consistent shared filesystem.
Study Guide reference: Core Infrastructure Deep Dive - ECS storage patterns, File Storage NAS, shared storage, and stateless application architecture.
質問 # 41
A Cloud Architect is designing a two-tiered architecture that includes a public vSwitch and a database vSwitch. The web servers in the public vSwitch must be open to the Internet on port 443. The ApsaraDB RDS for MySQL instance in the database vSwitch must be accessible only to the web servers on port 3306.
Which combination of actions should the Cloud Architect take to meet these requirements? (Correct answers:
2)
正解：A、B
解説：
The public web tier needs an inbound security-group rule permitting TCP 443 from Internet clients.
Therefore, Option E is required. Security groups act as virtual firewalls and should expose only application ports required by the workload. Alibaba Cloud recommends allowing public access only to necessary web- service ports such as HTTPS 443 while keeping internal services inaccessible from the Internet.
For the database tier, access should be limited to ECS instances belonging to the web-server security group.
Alibaba Cloud RDS for MySQL supports associating an ECS security group with an RDS instance, allowing ECS instances in that group to connect without adding every server address individually to an IP whitelist.
This is particularly useful when application-server membership changes dynamically.
Option B is overly broad because every resource within the public vSwitch ' s CIDR could potentially be authorized rather than only the approved web tier. Option C would prevent legitimate database traffic. Option D is unnecessary because RDS access behaves as an allow-list model: only explicitly authorized addresses or associated security-group members should be granted database access.
Thus, Internet clients reach the web tier only over HTTPS, while MySQL accepts access only from the authorized application servers.
Study Guide reference: Securing Workloads on Alibaba Cloud - Security Groups, RDS access control, least privilege, and tiered network segmentation.
質問 # 42
Kenneth plans to deploy a real-time data processing platform on Alibaba Cloud to support his company ' s Internet-of-Things (IoT) business. The platform will handle millions of sensor data points collected from smart devices globally. Kenneth needs to ensure high throughput and low latency for data ingestion and analysis.
Which solutions should Kenneth consider integrating into the platform architecture to meet his expected performance requirements? (Correct answers: 3)
正解：B、C、D
解説：
Time Series Database is specifically designed for timestamped telemetry generated by IoT devices, monitoring systems, and industrial equipment. Alibaba Cloud identifies IoT device monitoring as a core TSDB scenario, including continuously collecting, storing, analyzing, and querying device-status and business-event data in real time.
ApsaraMQ for Kafka provides the high-throughput ingestion and buffering layer. It is a managed distributed Kafka platform intended for real-time data pipelines, monitoring-data aggregation, log collection, streaming processing, and large-scale analytics. Its partitioned distributed architecture lets producers ingest very large event volumes while downstream consumers process the streams independently.
Function Compute supplies elastic event processing without persistent compute servers. Alibaba Cloud supports ApsaraMQ for Kafka triggers that invoke Function Compute automatically whenever new records arrive in Kafka topics. This enables functions to perform transformations, filtering, enrichment, alert generation, or routing in near real time.
EMR is valuable for Hadoop/Spark-style batch analytics, but the question specifically emphasizes low-latency real-time ingestion and analysis. It therefore does not replace the streaming components selected above.
Study Guide reference: Core Infrastructure Deep Dive - IoT telemetry, TSDB, ApsaraMQ for Kafka, Function Compute, and real-time streaming architectures.
質問 # 43
A retail chain is utilizing Alibaba Cloud ' s PolarDB to manage its inventory and sales databases. They need to ensure that their SQL queries have minimal impact on their production workload while enabling data analysts to run complex analytical queries.
How can the retail chain optimize their database operations for both transactional and analytical workloads?
(Correct answers: 2)
正解：A、B
解説：
Option B reduces interference between transaction processing and read-heavy workloads inside PolarDB.
PolarDB ' s read/write splitting automatically routes writes to the primary node while distributing eligible reads across read-only nodes. This allows reporting and ordinary SELECT traffic to consume separate compute capacity instead of competing with critical transactional writes on the primary node. Alibaba Cloud specifically identifies reporting, analytics, and read-heavy applications as appropriate read/write-splitting scenarios.
Option D provides stronger isolation for computationally expensive analytics. DTS can continuously synchronize PolarDB for MySQL data into MaxCompute using initial full synchronization followed by ongoing incremental change capture. Analysts can then execute large-scale analytical workloads against MaxCompute without placing those queries on the production transactional database.
Running queries on ECS does not inherently remove load from PolarDB because the SQL operations would still execute against the database. Introducing MongoDB merely to execute analytical queries creates a second database technology without an appropriate replication or analytical architecture.
Together, PolarDB read/write splitting optimizes operational read traffic while DTS-to-MaxCompute isolates heavyweight analytical processing, producing an effective HTAP-style separation of concerns.
Study Guide reference: Core Infrastructure Deep Dive - PolarDB, read/write splitting, DTS, MaxCompute, and analytical workload offloading.
質問 # 44
Sam runs a gaming startup, and is launching a real-time, massively multiplayer game on Alibaba Cloud.
Based on presales numbers, the startup predicts that there will be millions of concurrent users at launch. To ensure the experience of the gamers, their architecture must be able to deliver sub-50ms latency, scale automatically in response to sudden player surges, and provide efficient session management for millions of concurrent users.
What Alibaba Cloud services can Sam leverage to meet the requirements for the playerbase? (Correct answers: 3)
正解：C、D、E
解説：
Tair, Auto Scaling, and ALB directly address the three core runtime requirements: session performance, elastic capacity, and distributed traffic handling.
Tair provides an in-memory Redis-compatible data tier that is appropriate for high-frequency session information. Keeping session state outside individual ECS game servers allows requests to be handled by different backend instances without losing player session information and avoids disk/database latency on critical session lookups.
Auto Scaling directly satisfies the requirement to react automatically to sudden player surges. Alibaba Cloud Auto Scaling can monitor metrics such as CPU utilization and automatically add ECS instances when capacity thresholds are exceeded, then remove excess capacity as demand decreases.
ALB distributes client requests across the resulting game-server fleet, performs health checks, and avoids overloading individual ECS instances.
CDN is highly valuable for downloading static assets such as textures, patches, images, and game packages because those objects can be cached at edge POPs. However, standard CDN does not provide the core dynamic scaling mechanism for real-time game sessions. Given that exactly three selections are required, Auto Scaling is essential because the question explicitly requires automatic scaling during player surges.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - Tair, ALB, Auto Scaling, low-latency session architecture, and elastic gaming workloads.
質問 # 45
......
Alibaba CloudのCAP-C01試験問題には3つの異なるバージョン（PDF、ソフトウェア、APPオンライン）があるため、CAP-C01学習ガイドのバージョンには複数の選択肢があり、興味や習慣に応じて選択できます。 Alibaba CloudソフトウェアまたはAPPオンラインバージョンのCAP-C01準備資料は、コンピューターまたは電話で練習できます。 それらは、エレクトロニクス製品が私たちの生活や仕事のスタイルに広く適用されているという理由で開発された新しいものです。 CAP-C01の実際のAlibaba Cloud Certified Professional: Cloud Architect試験のPDFバージョンは印刷をサポートしており、論文で練習してメモを取ることができます。
CAP-C01最新試験情報: https://jp.fast2test.com/CAP-C01-premium-file.html