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| Section | Objectives |
|---|---|
| Delivering Services and Content on Alibaba Cloud | - Delivering Services and Content on Alibaba Cloud |
| Core Infrastructure Deep Dive | - Best Practices for Database Services - Core Compute Infrastructure Deep Dive - Core Storage Infrastructure Deep Dive |
| Securing Workloads on Alibaba Cloud | - Alibaba Cloud Security Deep Dive |
| Building Enterprise-grade Networks on Alibaba Cloud | - Cloud Networking Deep Dive |
| Building Highly Available, Performant Cloud Architecture | - Leveling up Your Core Infrastructure |
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NEW QUESTION # 18
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: C,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 # 19
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: B,D,E
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 # 20
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: A,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 # 21
Paul runs a successful online game. The game is deployed as a three-tier architecture in a VPC with ApsaraDB RDS for MySQL at the database layer. The game allows players to compete in real-time, and Paul wants to display a top-10 scoreboard in near-real time.
As a Cloud Architect, which of the following solutions would you propose for Paul ' s use case?
Answer: B
Explanation:
Tair is the appropriate architecture for a frequently changing game leaderboard because Redis-compatible sorted data structures are optimized for high-throughput score updates and ranking operations. Instead of repeatedly executing expensive aggregation and sorting queries against the relational database, the application can maintain player scores in Tair and retrieve the highest-ranked members directly.
Alibaba Cloud specifically documents leaderboard implementations based on Tair ' s sorted-set capabilities.
Tair ' s enhanced exZset functionality supports scalable ranking use cases and can distribute large leaderboards across multiple internal structures while preserving rank calculation.
This also protects RDS from high-frequency scoreboard queries. RDS remains the durable transactional database, while Tair operates as the low-latency serving and ranking layer for frequently accessed score data.
CDN caching is unsuitable because the leaderboard changes continually and requires near-real-time freshness.
A second relational PostgreSQL database would duplicate database infrastructure without providing the specialized in-memory ranking semantics required. An RDS read replica can reduce pressure on the primary database, but calculating and sorting rankings through SQL for every refresh remains less efficient than maintaining rankings directly in an in-memory sorted structure.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - Tair, caching, low- latency architectures, and database performance optimization.
NEW QUESTION # 22
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: C,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 # 23
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