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| Section | Weight | Objectives |
|---|---|---|
| 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% | - Performance optimization and resilience design - Multi-zone deployment and disaster recovery - Auto Scaling and Server Load Balancer (SLB) |
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Network routing and security groups - Express Connect and VPN Gateway - VPC design and configuration |
| 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 |
| Delivering Services and Content on Alibaba Cloud | 12% | - CDN and content delivery strategies - Service integration and access optimization - Alibaba Cloud DNS and domain management |
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NEW QUESTION # 24
A worldwide retail company is adapting their e-commerce platform to handle spikes in online traffic during annual sales events. They are using Alibaba Cloud services and need a solution that can automatically scale resources to maintain performance during these peaks.
What solutions should the company implement to efficiently manage their resources during high-traffic periods? (Correct answers: 3)
Answer: A,C,D
Explanation:
The strongest architecture for an existing e-commerce platform experiencing predictable but substantial traffic spikes is OSS/CDN + ALB + Auto Scaling. Auto Scaling is specifically designed to increase ECS capacity when traffic or resource utilization rises and remove unnecessary instances after demand subsides. Alibaba Cloud documents this as a core mechanism for handling traffic spikes while avoiding permanent over- provisioning.
ALB complements Auto Scaling by distributing requests across healthy ECS backend instances. As scaling creates additional instances, they can be automatically added to the ALB server group, allowing traffic to use the enlarged compute pool immediately.
Static images and videos should be moved to OSS and accelerated through CDN. CDN caches static resources on geographically distributed edge nodes, substantially reducing requests reaching the ECS application tier and lowering origin bandwidth and processing load during sales events.
Function Compute is highly elastic, but introducing it merely to supplement an existing server-based application normally requires application restructuring. It is therefore less directly applicable than the three mechanisms specifically designed to scale and offload the existing architecture.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - Auto Scaling, ALB, CDN offloading, and elastic ECS architecture.
NEW QUESTION # 25
An educational technology company is migrating its learning management system (LMS) to Alibaba Cloud.
The company mainly serves enterprise-grade customers, hence their platform must support automated backups, high availability across multiple zones, and granular access control for sensitive student records.
You have been hired as the lead Cloud Architect to build their architecture on Alibaba Cloud.
Which of the following architectural components will fit their requirements? (Correct answers: 3)
Answer: A,C,E
Explanation:
Each selected option maps directly to one of the stated enterprise requirements.
A multi-zone PolarDB deployment protects the database against availability-zone-level infrastructure failure.
Alibaba Cloud ' s multi-AZ PolarDB architecture keeps replicated data in separate zones and can use standby resources for failover when the primary zone becomes unavailable, resulting in a higher database SLA than a single-zone deployment.
Cloud Backup provides centralized policy-driven backup and recovery for Alibaba Cloud and on-premises resources, including ECS data, databases, NAS, OSS, and other supported workloads. This addresses the requirement for automated application and database protection without building custom backup infrastructure.
RAM roles and associated policies provide fine-grained authorization. RAM policies define allowed actions, affected resources, and optional access conditions, enabling least-privilege access to sensitive student data and administrative services.
Leaving OSS data unencrypted conflicts with the handling of sensitive enterprise information, while manual ACK scaling does not contribute to the stated requirement for high availability or automated operations.
The resulting architecture therefore combines multi-AZ database resilience, managed backup protection, and fine-grained identity authorization.
Study Guide reference: Securing Workloads on Alibaba Cloud - RAM; Building Highly Available, Performant Cloud Architecture - PolarDB HA and Cloud Backup.
NEW QUESTION # 26
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)
Answer: C,D
Explanation:
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.
NEW QUESTION # 27
A fintech startup is building a transaction monitoring application using Alibaba Cloud Container Service for Kubernetes (ACK). They are debating between adopting a dedicated cluster setup versus a serverless architecture to ensure scalability and cost efficiency.
What factors should they consider to decide between a serverless or a dedicated ACK deployment? (Correct answers: 2)
Answer: C,D
Explanation:
The fundamental decision is the trade-off between infrastructure control and infrastructure abstraction.
A conventional managed/dedicated Kubernetes environment gives architects greater control over node pools, instance types, resource placement, operating-system configuration, network topology, specialized hardware, and related infrastructure choices. This makes Option B appropriate when a regulated fintech application requires exact control over the compute and networking environment.
ACK Serverless takes the opposite approach. Alibaba Cloud manages the underlying node infrastructure, and workloads run without customers purchasing or maintaining worker nodes. Alibaba ' s documentation states that ACK Serverless uses pay-as-you-go resource consumption and can scale pods rapidly, making it particularly appropriate for variable or unpredictable workloads.
Alibaba Cloud also explicitly describes ACK Serverless as Kubernetes-compatible infrastructure where customers focus on application development while paying according to CPU and memory resources requested by workloads.
Option A is too absolute: dedicated Kubernetes infrastructure does not inherently guarantee lower application latency; latency depends on workload, topology, instance configuration, networking, and scaling behavior.
Option C is also incorrect because both managed and serverless ACK environments integrate deeply with Alibaba Cloud networking services.
Study Guide reference: Core Infrastructure Deep Dive - ACK deployment models, serverless containers, cluster control, elasticity, and cost optimization.
NEW QUESTION # 28
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?
Answer: C
Explanation:
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.
NEW QUESTION # 29
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