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| Section | Weight | Objectives |
|---|---|---|
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Cloud Networking Deep Dive
|
| Delivering Services and Content on Alibaba Cloud | 12% | - Delivering Services and Content on Alibaba Cloud
|
| Building Highly Available, Performant Cloud Architecture | 22% | - Leveling up Your Core Infrastructure
|
| Securing Workloads on Alibaba Cloud | 22% | - Alibaba Cloud Security Deep Dive
|
| Core Infrastructure Deep Dive | 26% | - Core Storage Infrastructure Deep Dive
|
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NEW QUESTION # 48
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,B,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 # 49
Priya is building a remote office application, and is looking for a storage solution to go with it. The solution must be highly available and scalable, and must be able to function as a file system that can be mounted to multiple Linux instances on Alibaba Cloud, as well as on-prem machines using native protocols such as Network File System (NFS) or Server Message Block (SMB).
For ease of use, Priya has set up a VPN Gateway between their network and their application ' s VPC on Alibaba Cloud.
Which of the following storage solutions meets this requirement?
Answer: A
Explanation:
File Storage NAS is Alibaba Cloud ' s managed shared filesystem service and is the correct storage family for workloads that require standard filesystem semantics and mounting by many clients. NAS supports NFS and SMB-based access, and a mount target acts as the private VPC endpoint through which clients access a NAS filesystem. General-purpose NAS currently supports up to two mount targets, and a mount target can be concurrently accessed by large numbers of compute nodes.
Alibaba Cloud also explicitly supports accessing NAS from an on-premises data center through VPN Gateway. This means the same private network architecture can accommodate cloud-hosted ECS clients and systems connected through the enterprise VPN.
OSS provides object semantics rather than a native shared NFS/SMB filesystem. EBS is block storage attached to compute instances and would require Priya to build and maintain custom file-server proxies, reducing availability and increasing administration.
Among the offered answers, multiple NAS mount points best align with the requirement for scalable managed file storage and resilient access paths while preserving standard filesystem protocols.
Study Guide reference: Core Infrastructure Deep Dive - File Storage NAS, NFS/SMB, mount targets, and hybrid-cloud storage.
NEW QUESTION # 50
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: B,C,D
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 # 51
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: D
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 # 52
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)
Answer: C,E
Explanation:
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.
NEW QUESTION # 53
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