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| Section | Weight | Objectives |
|---|---|---|
| Securing Workloads on Alibaba Cloud | 22% | - Data security and compliance best practices - WAF, Anti-DDoS and network protection - Resource Access Management (RAM) and identity control |
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Express Connect and VPN Gateway - Network routing and security groups - VPC design and configuration |
| Delivering Services and Content on Alibaba Cloud | 12% | - CDN and content delivery strategies - Alibaba Cloud DNS and domain management - Service integration and access optimization |
| Building Highly Available, Performant Cloud Architecture | 22% | - Multi-zone deployment and disaster recovery - Auto Scaling and Server Load Balancer (SLB) - Performance optimization and resilience design |
| 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 |
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NEW QUESTION # 39
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,C,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 # 40
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: D
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 # 41
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: C
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 # 42
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: B
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 # 43
An e-commerce company needs to execute a daily scheduled job to aggregate and filter sales records stored in an Alibaba Cloud OSS bucket. Each object can be up to 10 GB in size. The task may take up to an hour to run with pre-determined CPU and memory requirements. The goal is to reduce operational management efforts.
Identify an appropriate architecture using Alibaba Cloud services to perform the scheduled job efficiently.
Answer: D
Explanation:
Function Compute with EventBridge provides the lowest-management architecture among the choices.
Function Compute is a fully managed, event-driven compute platform: Alibaba Cloud provisions and scales the required execution infrastructure automatically, and billing is based on configured resources and execution duration. This removes the operational burden of maintaining ECS instances or an ACK cluster.
The stated execution time of up to one hour is supported. Current Function Compute documentation permits individual function executions of up to 24 hours, so the job duration does not require a container cluster merely because it exceeds traditional short-function runtimes.
EventBridge supports recurring time-triggered events using fixed schedules or cron expressions and is suitable for scheduled batch-processing workflows. Function Compute also integrates directly with EventBridge-based cloud-product event triggers.
Options A and C introduce Kubernetes control and workload-management complexity that is unnecessary for a single scheduled processing job. Option B is less precise because Serverless Workflow provides orchestration rather than being required to perform the actual computation.
Therefore, EventBridge schedules the daily invocation and Function Compute performs the OSS-backed processing without persistent infrastructure.
Study Guide reference: Delivering Services on Alibaba Cloud; serverless architecture and event-driven application delivery.
NEW QUESTION # 44
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