Latest Released Alibaba Cloud New CAP-C01 Dumps Files - CAP-C01 Alibaba Cloud Certified Professional: Cloud Architect Valid Test Sims

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Alibaba Cloud CAP-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Building Enterprise-grade Networks on Alibaba Cloud18%- Network routing and security groups
- VPC design and configuration
- Express Connect and VPN Gateway
Topic 2: Delivering Services and Content on Alibaba Cloud12%- Service integration and access optimization
- CDN and content delivery strategies
- Alibaba Cloud DNS and domain management
Topic 3: Securing Workloads on Alibaba Cloud22%- Data security and compliance best practices
- Resource Access Management (RAM) and identity control
- WAF, Anti-DDoS and network protection
Topic 4: Core Infrastructure Deep Dive26%- File Storage NAS and block storage
- Elastic Compute Service (ECS) and serverless computing
- Object Storage Service (OSS) and storage solutions
Topic 5: Building Highly Available, Performant Cloud Architecture22%- Performance optimization and resilience design
- Auto Scaling and Server Load Balancer (SLB)
- Multi-zone deployment and disaster recovery

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Alibaba Cloud Certified Professional: Cloud Architect Sample Questions (Q26-Q31):

NEW QUESTION # 26
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)

Answer: B,C,D

Explanation:
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.


NEW QUESTION # 27
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)

Answer: A,C,E

Explanation:
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.


NEW QUESTION # 28
A company runs its cloud infrastructure on Alibaba Cloud. Jose, a Cloud Architect for the company, needs to define the infrastructure as code. Currently, the infrastructure is deployed in a single Alibaba Cloud region.
The company ' s business expansion plan includes deployments across multiple regions and multiple Alibaba Cloud accounts.
What should Jose do to meet these requirements?

Answer: D

Explanation:
ROS Stack Groups are specifically designed for centrally deploying a common Resource Orchestration Service template across multiple Alibaba Cloud accounts and regions. This makes option D the architecture that directly addresses both dimensions of the requirement: multi-account governance and multi-region infrastructure-as-code deployment.
Alibaba Cloud documentation states that stack instances belonging to a stack group can deploy stacks into destination accounts and different regions. With Resource Directory integration and service-managed permissions, trusted access can be enabled so that stack groups are operated by a management account or delegated administrator while deployments occur in organization member accounts.
Nested stacks are primarily a template-composition mechanism; they do not constitute centralized multi- account deployment orchestration. Manually combining ordinary ROS templates and RAM policies could technically enable cross-account operations, but it recreates functionality that Stack Groups provide natively and increases operational overhead. Resource Directory and Cloud Governance alone also do not replace the actual multi-account, multi-region stack deployment mechanism.
Therefore, Resource Directory establishes the organizational account structure while ROS Stack Groups provide repeatable infrastructure deployment across those accounts and target regions.
Study Guide reference: Core Infrastructure Deep Dive; Resource Orchestration Service, multi-account governance, and repeatable cloud architecture.


NEW QUESTION # 29
Jenny developed a healthcare analytics platform on Alibaba Cloud. To meet performance, disaster recovery, and compliance requirements, the platform requires continuous data replication across zones for fault tolerance and cost-efficient storage of historical patient data for regulatory retention. Jenny has recruited you to help build a solution to address these challenges.
Which of the following strategies would you propose? (Correct answers: 2)

Answer: A,D

Explanation:
Data Transmission Service and OSS lifecycle management address the two distinct requirements:
continuously replicated operational data and economical long-term retention.
DTS provides real-time data synchronization by continuously capturing changes from a source database and applying them to a destination. Alibaba Cloud identifies active geo-redundancy, disaster recovery, cross- region replication, and real-time data synchronization as standard DTS scenarios. Maintaining a secondary synchronized dataset in another failure domain therefore provides substantially better recovery characteristics than relying only on periodic backups.
Historical data has a different access pattern. Regulatory medical records can remain necessary for years while being rarely retrieved. OSS lifecycle policies can automatically transition aging objects from frequently accessed storage into lower-cost storage classes such as Archive. Alibaba Cloud specifically describes lifecycle policies for medical records and other compliance datasets that become cold over time.
Option B provides backup protection but does not directly provide the requested continuous replication architecture and unnecessarily introduces self-managed databases on ECS. DMS simplifies database administration but is not a data-replication or archival-storage mechanism.
Consequently, DTS supplies the live replication/fault-tolerance layer, while OSS lifecycle policies supply automated and cost-efficient long-term retention.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - DTS replication, disaster recovery, OSS lifecycle management, and compliance-oriented storage.


NEW QUESTION # 30
A company is designing an application. The application uses a Function Compute function to receive information through API Gateway and to store the information in an ApsaraDB RDS for PostgreSQL database.
During the proof-of-concept stage, the company noticed that the volume and velocity of data is very high, and they had to increase the Function Compute quotas significantly. Even with the increased quotas, they would sometimes lose data. The company has hired Javert, a Cloud Architect, to recommend a new design to improve scalability and minimize the configuration effort.
Which of the following solutions will meet these requirements?

Answer: D

Explanation:
The application needs asynchronous decoupling between high-volume ingestion and database writes. Simple Message Queue provides exactly this load-leveling pattern. The first Function Compute function can acknowledge incoming requests quickly and place each item into SMQ. A second function consumes the queued messages and writes them to RDS at a rate the database can sustain.
SMQ is a distributed managed messaging service specifically designed to decouple producers and consumers.
Alibaba Cloud identifies traffic-spike buffering, asynchronous processing, and independent component scaling as core SMQ use cases. Queue messages are delivered at least once during their validity period, significantly improving durability compared with directly coupling every incoming API request to a database write.
Function Compute also integrates directly with SMQ queues and topics as event sources, reducing custom integration and infrastructure management.
Kafka could also provide durable asynchronous messaging, but it is a more elaborate streaming platform than necessary for this workload and therefore carries additional configuration complexity. Moving to ECS reintroduces server administration, while replacing RDS does not solve the ingestion decoupling problem.
Study Guide reference: Core Infrastructure Deep Dive - Function Compute, messaging architectures, asynchronous processing, and scalable application integration.


NEW QUESTION # 31
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