Alibaba Cloud CAP-C01 Dumps

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.

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Data Management Service is specifically designed to centralize database administration, authorization, and governance. Its permission model provides fine-grained control over instances, databases, tables, columns, rows, and sensitive data. Administrators can control logon, query, export, and change privileges while maintaining centralized governance rather than manually coordinating several independent services.

DMS is also appropriate where the organization needs auditable database access. Alibaba Cloud explicitly describes DMS authorization scenarios that include controlling RDS access and auditing employee data access.

RAM controls permissions to Alibaba Cloud resources and APIs, but combining RAM with ActionTrail would require multiple mechanisms and would not provide DMS ' s database-object-level permission model. An RDS IP whitelist is useful as a network access restriction but cannot express granular user permissions or provide centralized database governance. WAF protects HTTP/HTTPS applications and is not the appropriate control plane for direct RDS database authorization.

DMS therefore provides the required access control and audit functionality with the lowest operational complexity by consolidating database security administration into a purpose-built managed service.

Study Guide reference: Securing Workloads on Alibaba Cloud — DMS access control, database governance, RDS security, and auditing.

Alibaba Cloud CDN is specifically designed to accelerate content delivery by distributing and caching content at geographically distributed points of presence. When a user requests an accelerated resource, CDN DNS scheduling assigns an appropriate PoP. If the resource is cached there, the PoP returns it directly without requiring a round trip to the origin infrastructure. Alibaba Cloud documentation explicitly states that static resources are cached on the nearest PoP to reduce latency and improve access efficiency.

This directly satisfies both key requirements in the question: caching static content and directing users toward edge infrastructure close to their locations. If content is not cached or has expired, the CDN PoP performs an origin fetch and then serves the resource.

GTM can perform DNS-based geographical or latency routing among application endpoints and regions, but it is not itself a distributed static-content caching service. Express Connect provides private dedicated connectivity between enterprise/on-premises networks and Alibaba Cloud. SLB distributes traffic among backend servers but does not provide a worldwide edge caching network.

Therefore, Alibaba Cloud CDN is the only listed service that simultaneously implements PoP-based edge delivery and static-content caching.

Study Guide reference: Delivering Content on Alibaba Cloud; content acceleration and global application-delivery architecture.

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Option C provides the lowest-change migration path for the application tier. Rehosting the existing Windows workload on Windows Server ECS instances preserves its operating-system environment while distributing instances across availability zones improves resilience against zone-level infrastructure failures.

For the database tier, Option A provides the stronger managed architecture. Alibaba Cloud explicitly supports using DTS to migrate self-managed Oracle databases to PolarDB for PostgreSQL (Compatible with Oracle), including schema, full-data, and incremental-data migration for minimal migration downtime.

PolarDB ' s Oracle-compatible edition is specifically engineered to run Oracle workloads with minimal application modification. It supports Oracle-compatible data types, SQL constructs, PL/SQL features, OCI connectivity, packages, sequences, synonyms, and related functionality.

It also provides built-in high availability: failures are detected automatically and workloads can fail over to healthy nodes. This provides a more complete managed availability architecture than simply deploying independent self-managed Oracle servers across zones, which would additionally require Oracle-level replication/failover configuration.

Options B and D require substantial application refactoring and therefore conflict with the explicit requirement to minimize development changes.

Study Guide reference: Building Highly Available, Performant Cloud Architecture — workload migration, ECS multi-zone design, DTS, and PolarDB Oracle compatibility.

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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.

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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.

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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.

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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.

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.

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Alibaba Cloud Cloud Firewall is the purpose-built managed network-security service for centralized traffic inspection, filtering, access control, and threat prevention. It protects multiple network boundaries, including traffic between cloud workloads and the Internet as well as east-west traffic involving VPC environments.

For Internet-facing assets, Cloud Firewall can inspect inbound and outbound traffic and apply access-control policies, DPI-based analysis, intrusion-prevention rules, and threat intelligence without requiring an organization to deploy and maintain a self-managed firewall appliance.

For private architectures, a VPC Firewall can inspect and control traffic traversing VPC boundaries through CEN or Express Connect. Access-control policies determine which traffic is permitted or blocked.

Simple Log Service can analyze network logs but does not itself enforce inline traffic filtering. Traffic Mirroring copies traffic to another inspection system and therefore requires additional tooling. Security Center focuses primarily on workload security posture, vulnerability management, malware protection, and host security rather than functioning as the VPC ' s inline network firewall.

Cloud Firewall therefore most closely reproduces the company ' s former inspection-and-filtering architecture as a fully managed cloud-native service.

Study Guide reference: Securing Workloads on Alibaba Cloud — Cloud Firewall, network inspection, access control, IPS, and VPC security.

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A multi-zone deployment within the same region is the standard architecture for surviving the complete failure of one availability zone. Alibaba Cloud zones within a region are physically isolated for fault tolerance while maintaining high-speed internal network connectivity. Alibaba Cloud explicitly recommends deploying resources across different zones when higher disaster-recovery capability is required.

For an application tier, multiple ECS instances should be placed in separate zones and normally fronted by a multi-zone ALB or another suitable load-balancing service. Health checks ensure that traffic is no longer directed to unavailable instances, allowing surviving instances in another zone to continue serving requests. Alibaba Cloud ' s current high-availability guidance specifically describes multi-zone ECS and load-balancer deployments as the architecture for resilience against data-center or zone failures.

Option A remains vulnerable because all compute resources share the same zone failure domain. Option C retains a single compute point of failure regardless of storage performance. Option D can protect against an entire regional disaster, but it adds substantially greater networking, data synchronization, routing, and operational complexity than is necessary for the stated requirement of surviving one zone failure.

Therefore, distributing ECS instances across multiple zones within one region is the correct high-availability strategy.

Study Guide reference: Highly Available Architecture on Alibaba Cloud; Core Compute Infrastructure; multi-zone disaster recovery.

The workload is an excellent candidate for preemptible, currently called spot, ECS capacity because it is short-lived, batch-oriented, horizontally scalable, and explicitly tolerant of interruption. The question states that if an instance fails, another instance can reprocess the job. That removes the main architectural objection to using interruptible compute.

Alibaba Cloud describes ECS spot instances as unused ECS capacity offered at substantially reduced prices compared with standard pay-as-you-go instances. The documented recommended scenarios include short-term tasks, data analytics, and applications that are highly fault tolerant and able to tolerate interruption.

Savings Plans and reserved-instance-style commitments can reduce costs for predictable long-term baseline consumption, but this workload runs only at two scheduled times each day. Purchasing committed capacity for a sporadic workload can leave paid capacity economically underutilized. Higher-specification pay-as-you-go instances also do not inherently minimize compute cost.

Using a launch template with preemptible/spot ECS instances allows Auto Scaling to add inexpensive compute when the batch workload requires it, while the application ' s retry mechanism handles interruptions.

Study Guide reference: Core Compute Infrastructure Deep Dive; Scalable Architecture on Alibaba Cloud; cost optimization for elastic compute.

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The core problem is durability during transient processing or network failures. A topic provides publish/subscribe notification delivery, but placing an SMQ queue behind the topic creates a persistent buffer between the notification producer and the Function Compute consumer. Alibaba Cloud supports subscribing a queue to an SMQ topic so that every message published to the topic is copied into the queue and retained for consumption.

Function Compute should then process records from the queue. Queue semantics provide the required failure recovery: after a consumer receives a message, it becomes temporarily invisible. The consumer deletes the message only after successful processing. If processing fails—for example because of a temporary connectivity problem—the message is not deleted and becomes visible again after the visibility timeout, allowing another processing attempt.

Function Compute also supports SMQ queue triggers with configurable retries, fault-tolerance behavior, and dead-letter handling, which can further strengthen this architecture.

Increasing memory does not fix network reliability, and multi-region deployment alone does not guarantee message persistence. A durable queue therefore prevents transient failures from silently losing ingestion work.

Study Guide reference: Core Infrastructure Deep Dive — Simple Message Queue, Function Compute, durable asynchronous processing, retries, and decoupled event-driven architecture.

Global Accelerator is designed for precisely this class of global interactive application. Clients connect through Alibaba Cloud ' s nearby acceleration access points, after which traffic traverses Alibaba Cloud ' s optimized global network toward the most appropriate backend region. This reduces Internet routing variability and improves end-to-end latency for latency-sensitive workloads such as gaming.

GA listeners define the application protocol and ports, while endpoint groups represent backend deployments in different regions. With intelligent routing, GA can select a nearby healthy endpoint group and forward requests accordingly. Alibaba Cloud also provides endpoint health checks; when an endpoint becomes unhealthy, new requests can automatically be directed to healthy endpoints.

CDN is highly effective for static cacheable content but is not the correct primary mechanism for arbitrary real-time game traffic and regional backend health-based routing. RDS and Tair improve application data performance but do not solve global network acceleration.

Therefore, GA in front of regional ALBs provides the correct architecture: nearest-entry acceleration, Alibaba Cloud backbone transport, regional endpoint groups, health monitoring, and failover.

Study Guide reference: Delivering Services and Content on Alibaba Cloud — Global Accelerator, ALB, multi-region traffic management, and high availability.

Option B provides both an appropriate security boundary and an optimized delivery path. Alibaba Cloud CDN should be the Internet-facing content-delivery layer so that cacheable HTTPS resources are served from edge points of presence close to users. Alibaba Cloud currently supports directly configuring an ALB instance domain as a CDN origin, producing the request path client → CDN → ALB → backend server. This prevents clients from bypassing the load-balancing tier and preserves centralized health checking and traffic distribution.

The backend ECS instances should remain on private network addresses rather than being individually Internet-exposed. For an Internet-facing ALB, external traffic reaches the ALB through its public EIP and is then forwarded internally to backend ECS private IP addresses. This substantially reduces the attack surface while retaining public application availability.

Options C and D unnecessarily expose ECS instances through public networking. Option A uses private ECS instances, but making the individual application servers the CDN origins bypasses the ALB ' s centralized distribution and availability functions. Therefore, CDN → ALB → private ECS is the strongest architecture.

Study Guide reference: Delivering Content on Alibaba Cloud; Delivering Services on Alibaba Cloud; Highly Available Architecture.

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