今の人材が多い社会中に多くの業界は人材不足でたとえばIT業界はかなり技術的な人材が不足で、Alibaba CloudのCAP-C01認定試験はIT技術の認証試験の1つで、Tech4ExamはAlibaba CloudのCAP-C01認証試験に関するの特別な技術を持ってサイトでございます。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building Enterprise-grade Networks on Alibaba Cloud | 18% | - VPC design and configuration - Network routing and security groups - Express Connect and VPN Gateway |
| Topic 2: Core Infrastructure Deep Dive | 26% | - Object Storage Service (OSS) and storage solutions - Elastic Compute Service (ECS) and serverless computing - File Storage NAS and block storage |
| Topic 3: Delivering Services and Content on Alibaba Cloud | 12% | - Service integration and access optimization - Alibaba Cloud DNS and domain management - CDN and content delivery strategies |
| Topic 4: Building Highly Available, Performant Cloud Architecture | 22% | - Multi-zone deployment and disaster recovery - Auto Scaling and Server Load Balancer (SLB) - Performance optimization and resilience design |
| Topic 5: 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 |
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質問 # 17
A telecommunications company is expanding its backend architecture on Alibaba Cloud to add new services but needs to consolidate security management. They use multiple VPCs and want to streamline authorization management across their services.
What strategy should they adopt to simplify security group management across VPCs?
正解：C
質問 # 18
An insurance company stores critical data in an Object Storage Service (OSS) bucket. They want to protect the data from accidental deletion.
As a Cloud Architect, what do you propose that the company does to protect the data from accidental deletion?
正解：B
解説：
OSS versioning is specifically intended to protect objects from unintended deletions and overwrites. When versioning is enabled, OSS retains historical versions of an object. A normal delete operation creates a delete marker instead of permanently destroying all existing versions, allowing an administrator to restore a previous version when required.
Alibaba Cloud explicitly recommends versioning as a protection mechanism against accidental deletion or overwriting. Its current documentation states that, after versioning is enabled, accidentally deleted or overwritten content remains available as historical versions that can subsequently be restored.
Encryption protects confidentiality of stored data but does not provide logical deletion recovery. A private bucket ACL reduces unauthorized access but does not stop an authorized administrator or application from deleting an object accidentally. Lifecycle rules automate transitions or deletion according to defined policies; improperly configured lifecycle rules can themselves delete data, so they are not the primary protection mechanism requested here.
For particularly critical workloads, versioning can be supplemented with backup or carefully designed cross- region replication, but among the four choices, enabling OSS versioning directly addresses accidental deletion and provides recovery capability.
Study Guide reference: Core Storage Infrastructure Deep Dive; data durability, protection, and OSS object- management mechanisms.
質問 # 19
An online education company plans to migrate their services to Alibaba Cloud. They want to improve their video streaming quality during peak hours using Alibaba Cloud services. As a Cloud Architect, you are tasked with building a solution to manage traffic spikes without compromising on video quality.
What combination of services would BEST fit their requirements? (Correct answers: 3)
正解：A、C、D
解説：
CDN should form the content-delivery layer for cacheable video assets. Alibaba Cloud CDN distributes content to geographically dispersed edge nodes so viewers retrieve cached objects from nearby POPs rather than repeatedly connecting to a distant origin. Alibaba Cloud explicitly supports video-oriented CDN acceleration and edge delivery, reducing both end-user latency and origin bandwidth demand.
Auto Scaling addresses peak-time compute demand. It monitors workload conditions and automatically increases ECS capacity during traffic spikes, then scales resources back when traffic decreases. Alibaba Cloud specifically identifies streaming platforms with unpredictable demand as a typical Auto Scaling scenario.
Global Accelerator complements CDN and Auto Scaling where viewers or application endpoints are separated by long-distance or cross-border networks. GA routes traffic through Alibaba Cloud ' s optimized global BGP network, reducing latency, jitter, and packet loss. Alibaba documentation explicitly identifies video streaming as a latency-sensitive scenario that benefits from this architecture.
Tair can improve authentication or session performance, but it does not directly address video delivery quality or regional network performance. Therefore, CDN + Auto Scaling + Global Accelerator most directly satisfies the streaming requirement.
Study Guide reference: Delivering Services and Content on Alibaba Cloud - CDN, Global Accelerator, Auto Scaling, video delivery, and global traffic optimization.
質問 # 20
FirstBuy is a rapidly growing global e-commerce company. The company hosts its web application on Alibaba Cloud. The application serves both static and dynamic content. Transactional data is stored in an ApsaraDB RDS database.
Lately, customers have been complaining about slow page loading speeds.
As a Cloud Architect, which combination of actions can you take to solve this problem? (Correct answers: 2)
正解：D、E
解説：
Alibaba Cloud CDN addresses the front-end performance problem by caching static resources at edge Points of Presence close to users. Instead of every image, JavaScript file, stylesheet, or other cacheable object being retrieved from the origin application, CDN returns cached copies from nearby edge nodes. This reduces network latency and decreases load on the original application servers. Alibaba Cloud specifically identifies reduced latency and lower origin workload as primary benefits of CDN.
Read/write splitting addresses database-side pressure. ApsaraDB RDS for MySQL can use database proxy functionality to direct write operations to the primary instance and distribute eligible read operations to read- only instances. This is especially effective for read-heavy web applications because it reduces CPU and I/O load on the primary database and increases aggregate read throughput.
A multi-zone database improves availability rather than directly solving page-load latency. AnalyticDB is an analytical database and should not replace RDS simply to handle transactional data. OSS is optimized for static objects; hosting dynamic application content there does not fit its object-storage model.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - CDN acceleration, RDS read scaling, database proxies, and application performance optimization.
質問 # 21
Keanu uses Elastic Compute Service (ECS) instances to run batch jobs to process data at 00:00 AM and 04:00 AM every day. An Auto Scaling group manages the ECS instances, which run as pay-as-you-go instances. If a batch job fails on one instance, another instance will reprocess the job.
Which of the following solutions provides the MOST cost-effective way to run these jobs?
正解：B
解説：
The workload is an excellent candidate for preemptible, currently called spot, ECS capacity because it is short- lived, batch-oriented, horizontally scalable, and explicitly tolerant of interruption. The question states that if an instance fails, another instance can reprocess the job. That removes the main architectural objection to using interruptible compute.
Alibaba Cloud describes ECS spot instances as unused ECS capacity offered at substantially reduced prices compared with standard pay-as-you-go instances. The documented recommended scenarios include short- term tasks, data analytics, and applications that are highly fault tolerant and able to tolerate interruption.
Savings Plans and reserved-instance-style commitments can reduce costs for predictable long-term baseline consumption, but this workload runs only at two scheduled times each day. Purchasing committed capacity for a sporadic workload can leave paid capacity economically underutilized. Higher-specification pay-as-you- go instances also do not inherently minimize compute cost.
Using a launch template with preemptible/spot ECS instances allows Auto Scaling to add inexpensive compute when the batch workload requires it, while the application ' s retry mechanism handles interruptions.
Study Guide reference: Core Compute Infrastructure Deep Dive; Scalable Architecture on Alibaba Cloud; cost optimization for elastic compute.
質問 # 22
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