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| Section | Weight | Objectives |
|---|---|---|
| Core Infrastructure Deep Dive | 26% | - Elastic Compute Service (ECS) and serverless computing - Object Storage Service (OSS) and storage solutions - File Storage NAS and block storage |
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Express Connect and VPN Gateway - Network routing and security groups - VPC design and configuration |
| 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 |
| 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) |
| Delivering Services and Content on Alibaba Cloud | 12% | - Service integration and access optimization - CDN and content delivery strategies - Alibaba Cloud DNS and domain management |
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NEW QUESTION # 18
A company is deploying a mission-critical application on Alibaba Cloud ECS instances that require high availability and failover capabilities. The application must remain accessible even if an entire zone fails.
Which deployment strategy should the company use to ensure high availability?
Answer: B
Explanation:
A multi-zone deployment within the same region is the standard architecture for surviving the complete failure of one availability zone. Alibaba Cloud zones within a region are physically isolated for fault tolerance while maintaining high-speed internal network connectivity. Alibaba Cloud explicitly recommends deploying resources across different zones when higher disaster-recovery capability is required.
For an application tier, multiple ECS instances should be placed in separate zones and normally fronted by a multi-zone ALB or another suitable load-balancing service. Health checks ensure that traffic is no longer directed to unavailable instances, allowing surviving instances in another zone to continue serving requests.
Alibaba Cloud ' s current high-availability guidance specifically describes multi-zone ECS and load-balancer deployments as the architecture for resilience against data-center or zone failures.
Option A remains vulnerable because all compute resources share the same zone failure domain. Option C retains a single compute point of failure regardless of storage performance. Option D can protect against an entire regional disaster, but it adds substantially greater networking, data synchronization, routing, and operational complexity than is necessary for the stated requirement of surviving one zone failure.
Therefore, distributing ECS instances across multiple zones within one region is the correct high-availability strategy.
Study Guide reference: Highly Available Architecture on Alibaba Cloud; Core Compute Infrastructure; multi- zone disaster recovery.
NEW QUESTION # 19
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,B,C
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 # 20
Jason ' s company is running a traditional web application on Alibaba Cloud ECS instances. The company wants to improve efficiency by refactoring the application as microservices that run on containers. The application must be deployed across multiple environments: production and testing. Load for the application is variable, but the minimum load and maximum load are known. As a Cloud Architect, you have been assigned the job of designing the updated application with a serverless architecture that minimizes operational complexity.
Which solution will meet these requirements MOST cost-effectively?
Answer: A
Explanation:
Serverless App Engine is the strongest fit because it provides an application-oriented serverless platform specifically intended for hosting containerized and microservice applications without requiring the organization to administer Kubernetes clusters or ECS infrastructure. SAE can deploy applications directly from container images, including images stored in Alibaba Cloud Container Registry, and automatically manages provisioning, application lifecycle, scaling, monitoring, and underlying resources.
SAE namespaces also provide logical isolation for development, testing, and production environments. This directly addresses the requirement for separate production and testing deployments while avoiding the overhead of maintaining separate ACK clusters.
SAE integrates with Application Load Balancer for Layer 7 ingress and routing. ALB can expose SAE applications and route traffic to the appropriate backend application instances.
ACK Serverless removes worker-node management but still introduces Kubernetes objects and cluster administration. ACK Managed requires even greater cluster administration. Function Compute is optimized for functions and event-driven processing rather than straightforward migration of a multi-service container application.
Study Guide reference: Core Infrastructure Deep Dive - serverless compute, SAE, containerized applications, microservices, and application scaling.
NEW QUESTION # 21
A startup is building a serverless backend for their mobile application on Alibaba Cloud. The backend includes APIs for user authentication, data storage, and real-time notifications. The startup expects variable traffic with unpredictable spikes and wants to minimize costs by paying only for actual usage.
Which combination of Alibaba Cloud services should the startup use to achieve this architecture? (Correct answers: 2)
Answer: B,D
Explanation:
Function Compute and Simple Message Queue form an appropriate serverless, event-driven backend for bursty mobile workloads.
Function Compute is fully managed and automatically allocates elastic compute resources when functions are invoked. Alibaba Cloud bills Function Compute primarily according to actual configured resources and execution duration, allowing the startup to avoid maintaining continuously running application servers. This is particularly suitable for APIs and backend handlers experiencing unpredictable request spikes.
SMQ provides managed asynchronous messaging for decoupling backend components. It supports queue- based processing and publish-subscribe topics, making it suitable for notification events, background jobs, workflow messages, and traffic buffering. Alibaba Cloud explicitly identifies load leveling during sudden traffic spikes as an SMQ use case.
SMQ can also directly trigger Function Compute through queue or topic integrations, creating an event-driven design without dedicated message-consumer servers.
ECS requires persistent server resources and management, which conflicts with the requested serverless operating model. MaxCompute is a large-scale data warehouse and batch analytics platform rather than the application ' s transactional API or messaging layer.
Therefore, Function Compute supplies elastic execution while SMQ provides reliable asynchronous communication and notification-event handling.
Study Guide reference: Delivering Services and Content on Alibaba Cloud - Function Compute, serverless architectures, SMQ, event-driven integration, and elastic application services.
NEW QUESTION # 22
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: B
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 # 23
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