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| Section | Objectives |
|---|---|
| Building Enterprise-grade Networks on Alibaba Cloud | - Cloud Networking Deep Dive |
| Core Infrastructure Deep Dive | - Core Storage Infrastructure Deep Dive - Best Practices for Database Services - Core Compute Infrastructure Deep Dive |
| Securing Workloads on Alibaba Cloud | - Alibaba Cloud Security Deep Dive |
| Delivering Services and Content on Alibaba Cloud | - Delivering Services and Content on Alibaba Cloud |
| Building Highly Available, Performant Cloud Architecture | - Leveling up Your Core Infrastructure |
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NEW QUESTION # 12
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: A
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 # 13
A global consultancy firm needs to ensure that their applications hosted on Alibaba Cloud have low latency for users distributed worldwide. They require a solution that can cache static content and dynamically route user requests to the nearest point-of-presence (PoP).
Which Alibaba Cloud service should the firm implement to achieve this?
Answer: A
Explanation:
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.
NEW QUESTION # 14
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,B,C
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 # 15
Ibrahim manages a large-scale manufacturing plant equipped with state-of-the-art instrumentation and telemetry that collects various information about the machines and products. These sensors collectively generate 1 TB worth of logs each day. Each notification is approximately 2 KB in size. You have been contracted to design a solution to ingest and store these logs for future analysis.
Ibrahim wants a highly available solution, but also wants to minimize costs. Additionally, he does not want to manage additional infrastructure. To meet their business requirements, they need to keep 14 days of data available for immediate analysis, and archive any other data older than 14 days.
What is the MOST operationally efficient solution that meets these requirements?
Answer: A
Explanation:
Simple Log Service (SLS) is a managed log-ingestion, storage, query, analysis, and visualization service, making it the most operationally efficient front-end for this telemetry workload. It eliminates the requirement to provision and manage ECS-based collectors or a separate search cluster simply to ingest and analyze log records.
For longer-term retention, Alibaba Cloud supports automatically shipping SLS data to OSS. This creates a clean hot-to-cold architecture: maintain recent data in SLS for interactive analysis and export older data to OSS for economical retention.
OSS lifecycle management can then automatically transition aging objects to lower-cost storage classes such as Archive. Lifecycle rules are explicitly designed to automate storage-class transitions based on object age, eliminating manual archival administration.
Option A requires additional Elasticsearch retention administration. Option B requires managing ECS infrastructure even though the question explicitly prioritizes reduced operational management. Option D adds Kafka unnecessarily and still specifies manual archival, directly conflicting with the requirement to minimize operational effort.
Thus, SLS for managed ingestion and recent analysis combined with SLS-to-OSS shipping and OSS lifecycle transitions provides the strongest serverless/managed retention architecture.
Study Guide reference: Core Infrastructure Deep Dive; Core Storage Infrastructure; operationally efficient log and data-storage architecture.
NEW QUESTION # 16
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: B
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 # 17
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