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| Section | Weight | Objectives |
|---|---|---|
| Core Infrastructure Deep Dive | 26% | - File Storage NAS and block storage - Elastic Compute Service (ECS) and serverless computing - Object Storage Service (OSS) and storage solutions |
| 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 |
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - VPC design and configuration - Express Connect and VPN Gateway - Network routing and security groups |
| 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% | - CDN and content delivery strategies - Service integration and access optimization - Alibaba Cloud DNS and domain management |
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NEW QUESTION # 42
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 # 43
A company is designing an application. The application uses a Function Compute function to receive information through API Gateway and to store the information in an ApsaraDB RDS for PostgreSQL database.
During the proof-of-concept stage, the company noticed that the volume and velocity of data is very high, and they had to increase the Function Compute quotas significantly. Even with the increased quotas, they would sometimes lose data. The company has hired Javert, a Cloud Architect, to recommend a new design to improve scalability and minimize the configuration effort.
Which of the following solutions will meet these requirements?
Answer: C
Explanation:
The application needs asynchronous decoupling between high-volume ingestion and database writes. Simple Message Queue provides exactly this load-leveling pattern. The first Function Compute function can acknowledge incoming requests quickly and place each item into SMQ. A second function consumes the queued messages and writes them to RDS at a rate the database can sustain.
SMQ is a distributed managed messaging service specifically designed to decouple producers and consumers.
Alibaba Cloud identifies traffic-spike buffering, asynchronous processing, and independent component scaling as core SMQ use cases. Queue messages are delivered at least once during their validity period, significantly improving durability compared with directly coupling every incoming API request to a database write.
Function Compute also integrates directly with SMQ queues and topics as event sources, reducing custom integration and infrastructure management.
Kafka could also provide durable asynchronous messaging, but it is a more elaborate streaming platform than necessary for this workload and therefore carries additional configuration complexity. Moving to ECS reintroduces server administration, while replacing RDS does not solve the ingestion decoupling problem.
Study Guide reference: Core Infrastructure Deep Dive - Function Compute, messaging architectures, asynchronous processing, and scalable application integration.
NEW QUESTION # 44
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 # 45
A global hotel chain is migrating its reservation system to Alibaba Cloud. The system must provide high availability across multiple regions, ensure data consistency, and support real-time updates to prevent double bookings. Additionally, the system should integrate with third-party payment gateways securely.
Which combination of Alibaba Cloud services should the hotel chain implement to architect this reservation system effectively? (Correct answers: 3)
Answer: A,C,D
Explanation:
Option A refers to PolarDB Global Database Network (GDN), Alibaba Cloud ' s architecture for connecting PolarDB clusters across regions. A GDN contains a primary cluster and secondary regional clusters. Data changes are continuously replicated, local reads can be served by regional clusters, and write operations are routed to the primary cluster. Maintaining a single authoritative write path is particularly important for reservation transactions where concurrent booking operations must be controlled consistently.
Option C provides resilient application capacity by deploying ECS application servers in multiple regions and using ALB within each regional deployment to distribute requests among healthy instances. In a complete production implementation, a global routing mechanism such as DNS traffic management or Global Accelerator would normally direct users between those regional application stacks.
Function Compute is suitable for payment-gateway integrations because payment callbacks and API interactions are event-driven or request-driven workloads. Function Compute can be exposed securely through API Gateway, which provides routing, authentication, traffic control, and API management without persistent integration servers.
OSS versioning is useful for protecting stored objects but does not supply the transactional database, regional application availability, or payment-processing functionality required here.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - multi-region PolarDB, GDN, regional application tiers, ALB, and serverless integration.
NEW QUESTION # 46
Liam ' s company operates an on-premises data analytics platform across 12 servers. The system runs scheduled jobs (70% of the time, each job taking anywhere from 20 minutes to 2 hours to complete, with tight SLAs) and user jobs (30% of the time, each job taking less than 5 minutes, with no SLA requirements).
Scheduled jobs must continue to meet SLAs during system failures, while user jobs can be delayed.
As a Cloud Architect, you are tasked to migrate the system to Alibaba Cloud ECS using a consumption-based model while maintaining the same high availability and SLA requirements.
Which solution is the MOST cost-effective and flexible?
Answer: C
Explanation:
Option A offers the strongest combination of resilience, predictable baseline capacity, flexibility, and reduced cost. Nine standard pay-as-you-go ECS instances are spread evenly across three zones and can support the scheduled workloads that have strict SLA requirements. The remaining three instances use lower-cost preemptible/spot capacity for user jobs that can tolerate interruption or delay.
Alibaba Cloud describes spot instances as offering the same compute performance as ordinary pay-as-you-go ECS but at substantially lower prices, with the trade-off that capacity can be reclaimed. This makes spot capacity appropriate for interruption-tolerant workloads but inappropriate as the sole capacity supporting strict SLAs.
A Savings Plan discounts eligible pay-as-you-go ECS usage while preserving significantly greater flexibility than traditional reserved-instance matching. Current Alibaba Cloud documentation states that Savings Plans apply discounts to pay-as-you-go usage and can offer flexibility across instance configurations; they do involve a one- or three-year hourly spend commitment, but they do not provision or reserve fixed ECS capacity.
Options C and D concentrate too much reliable capacity into fewer zones or place excessive workload on interruptible capacity. Option A therefore provides the best workload-tiering and multi-zone design among the available choices.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - multi-zone ECS, workload resilience, Savings Plans, and spot instances.
NEW QUESTION # 47
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