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| Section | Weight | Objectives |
|---|---|---|
| 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) |
| Delivering Services and Content on Alibaba Cloud | 12% | - Alibaba Cloud DNS and domain management - Service integration and access optimization - CDN and content delivery strategies |
| 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% | - WAF, Anti-DDoS and network protection - Data security and compliance best practices - Resource Access Management (RAM) and identity control |
| Core Infrastructure Deep Dive | 26% | - Object Storage Service (OSS) and storage solutions - File Storage NAS and block storage - Elastic Compute Service (ECS) and serverless computing |
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NEW QUESTION # 29
Lucy is a Cloud Architect at a new organization. They are creating a new application for their subscribers, which consists of a single static page and a persistent database layer. Based on the performance of their website, the application will experience traffic from millions of users for 4-6 hours in the morning, but only a few thousand for the rest of the day. Furthermore, the data engineers in the organization have requested that the app support rapid access to the database for their data warehouse requirements.
Which of the following solutions can meet these requirements while providing the MOST scalability?
(Correct answers: 2)
Answer: A,B
Explanation:
The workload has an extreme daily usage differential, making serverless PolarDB more appropriate than a fixed database configuration. PolarDB Serverless automatically scales compute resources up or out when CPU, memory, or database load increases and scales them down when demand subsides. This allows the database tier to accommodate millions of morning users without permanently paying for peak capacity throughout the remainder of the day.
The application front end is a single static page, so ECS instances are unnecessary. OSS can host HTML, CSS, JavaScript, images, and other static files directly. Placing Alibaba Cloud CDN in front of the OSS bucket caches those files at globally distributed edge nodes and serves requests from locations near users.
Alibaba Cloud recommends OSS + CDN for high-concurrency static websites because it reduces access latency and removes most origin load.
Option A can scale but retains fixed provisioned database resources and therefore provides less elasticity than the serverless model. Option D creates unnecessary compute infrastructure for content that requires no server- side execution.
The architecture therefore separates an infinitely scalable static delivery tier from an elastic serverless persistent database tier.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - PolarDB Serverless, OSS static hosting, CDN, and automatic resource scaling.
NEW QUESTION # 30
Camila has set up a simple blog hosted on a single Elastic Compute Service (ECS) instance, storing images and files on an Elastic Block Storage (EBS) disk within the ECS instance, and relying on an ApsaraDB RDS for MySQL instance for its data tier. Camila wants to scale up her blog and enhance both resilience and performance with minimal changes to the application.
As a Cloud Architect, which combination of actions can you take to improve both resilience and performance of the website? (Correct answers: 3)
Answer: A,B,D
Explanation:
The existing architecture has two important bottlenecks: a single ECS compute node and files stored on storage attached to that individual ECS instance. Option E eliminates the compute single point of failure. A custom image allows identical ECS instances to be created, while Auto Scaling maintains multiple instances and ALB distributes requests across healthy backends. This provides horizontal scalability and significantly stronger application availability.
Option D addresses shared application storage. File Storage NAS is a managed, POSIX-compatible shared filesystem that multiple ECS instances can mount concurrently. All web servers therefore see the same files, while NAS handles storage scalability and consistency independently from the ECS lifecycle.
Option A improves performance by moving cacheable website content toward users. CDN serves static resources from nearby POPs and reduces requests and bandwidth reaching the origin infrastructure.
Although OSS is excellent for native object-storage workloads, mounting OSS through ossfs does not provide the same filesystem semantics and consistency characteristics as NAS for a traditional application requiring minimal modification. Global Accelerator primarily optimizes network paths and does not eliminate the application ' s compute or storage single points of failure.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - ALB, Auto Scaling, NAS shared storage, and CDN.
NEW QUESTION # 31
A pharmaceutical company runs protein folding experiments on-prem. The experiments are split into two parts:
* A simulation application that runs on Linux, and outputs data to an NFS share every minute.
* A visualization application that runs on Windows that converts data from the simulation into graphics.
This application requires an SMB file system.
To support these applications, the company maintains two synchronized file systems, which is prone to data duplication and contributes to inefficient data storage. Lately, they have been considering migrating their use case to Alibaba Cloud. However, they do not want to make any code changes to either application.
As a Cloud Architect, propose a solution for this case.
Answer: D
Explanation:
This is fundamentally a lift-and-shift filesystem workload. The applications already depend on standard operating-system file interfaces, and the requirement explicitly states that application code should not be changed. ECS therefore preserves the existing Linux and Windows execution environments, while File Storage NAS supplies managed shared filesystem semantics.
Alibaba Cloud NAS supports NFS and SMB protocols and is designed specifically for workloads migrating from traditional file servers. Alibaba documentation describes NAS as appropriate for lift-and-shift applications because existing applications can continue using standard filesystem calls, path structures, and file-locking behavior without rewriting file I/O logic.
For cross-operating-system sharing, Alibaba Cloud recommends SMB when Linux and Windows clients must access the same filesystem, and Linux ECS can mount SMB when cross-platform data sharing is required.
OSS would change the storage interface from filesystem semantics to object APIs, normally requiring application changes. Message Queue changes the application ' s data exchange architecture. ACK introduces unnecessary containerization complexity.
Therefore, Linux ECS + Windows ECS + managed NAS most closely preserves the existing application model while eliminating the operational problems associated with manually synchronized on-premises file systems.
Study Guide reference: Core Infrastructure Deep Dive - ECS migration, File Storage NAS, NFS/SMB, and lift-and-shift architecture.
NEW QUESTION # 32
Clarence runs a retail company that hosts an e-commerce website on Alibaba Cloud across multiple Alibaba Cloud regions. Clarence wants the website to be operational at all times to ensure customers can make purchases around the clock. The website stores data in a PolarDB for MySQL instance.
Which of the following solutions will provide the HIGHEST availability for the database?
Answer: C
Explanation:
Global Database Network is the architecture specifically intended for geographically distributed PolarDB deployments requiring cross-region data replication, local read capability, and disaster recovery. A GDN contains a primary cluster plus secondary clusters in other regions. Data is continuously synchronized between them. Applications can connect to regional cluster endpoints; read requests can be served locally while write requests are routed to the primary cluster. Alibaba Cloud also supports switching the primary cluster to a secondary cluster, including forced switchover scenarios for failures.
Option C provides strong node-level and zone-level availability within a PolarDB cluster, but it does not deliver the same level of protection against an entire regional outage. Option D relies on backup restoration, which introduces significantly higher RTO and operational intervention. Option B invents an unnecessary Function Compute replication mechanism instead of using PolarDB ' s native cross-region replication.
For a mission-critical global e-commerce database, GDN provides the best combination of cross-region redundancy, replication, local reads, and regional failover capabilities.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - PolarDB high availability, cross-region disaster recovery, and Global Database Network.
NEW QUESTION # 33
A media company is developing a video processing pipeline utilizing Alibaba Cloud Container Service for Kubernetes (ACK). They want to use a serverless approach to accommodate unpredictable workloads but are unsure about its impact on logging.
What considerations should the company keep in mind regarding logging in a serverless ACK environment?
Answer: A
Explanation:
Simple Log Service (SLS) is the appropriate logging platform for an ACK Serverless environment. Serverless Kubernetes removes much of the node-management responsibility, so the logging architecture should follow the same managed-service model rather than introduce dedicated log-processing infrastructure.
Alibaba Cloud provides native SLS integration for ACK Serverless. SLS can collect container standard output and application log files and then provide centralized search, analysis, dashboards, alerting, and downstream shipping. Alibaba documentation specifically states that ACK Serverless provides managed SLS capabilities and supports collecting container logs directly into SLS.
ARMS is primarily an application performance monitoring and observability platform; it does not replace SLS as the core centralized log-ingestion service. Option C is incorrect because SLS supports near-real-time collection and analysis. Option D also misunderstands serverless logging: scaling events do not inherently require dedicated logging servers.
The architecture should therefore preserve the operational advantages of serverless compute by using SLS as a fully managed, elastic logging layer capable of handling workload fluctuations without requiring the organization to provision and administer separate logging infrastructure.
Study Guide reference: Core Infrastructure Deep Dive - ACK, serverless container architecture, observability, and Simple Log Service.
NEW QUESTION # 34
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