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| Section | Objectives |
|---|---|
| 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 |
| Core Infrastructure Deep Dive | - Core Storage Infrastructure Deep Dive - Best Practices for Database Services - Core Compute Infrastructure Deep Dive |
| Building Enterprise-grade Networks on Alibaba Cloud | - Cloud Networking Deep Dive |
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NEW QUESTION # 44
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,B,C
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 # 45
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: D
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 # 46
Sandra hosts a web application on a single ECS instance that stores documents uploaded by users in an EBS data disk. As the requirements grow, they duplicate the application and host it in a second ECS instance in a different zone. An ALB instance is used to distribute traffic between these ECS instances. However, after completing this change, users reported that every time they access the web application, they could only see some of their documents at any given time, but never all of the documents at the same time.
As a Cloud Architect, how would you solve this issue?
Answer: B
Explanation:
The architectural defect is that application state is stored independently on local block storage attached to each ECS instance. ALB can route successive requests to either backend, so each server exposes only the files stored on its own EBS disk. The correct solution is therefore to separate persistent shared data from individual compute instances.
Alibaba Cloud File Storage NAS provides shared file storage that can be mounted concurrently by multiple ECS instances. A single NAS file system becomes the authoritative repository for uploaded documents, so regardless of which ECS instance receives a request, both instances access the same underlying dataset.
Alibaba Cloud explicitly supports mounting NAS on multiple ECS instances for shared access.
Periodic EBS synchronization is operationally fragile and introduces consistency windows. ALB session persistence would merely hide the architectural problem and would fail when an ECS instance becomes unavailable or is replaced. Sending every request to both servers would also complicate application logic and still leave divergent storage.
Moving the data to NAS converts the application tier into a horizontally scalable compute layer while maintaining one consistent shared filesystem.
Study Guide reference: Core Infrastructure Deep Dive - ECS storage patterns, File Storage NAS, shared storage, and stateless application architecture.
NEW QUESTION # 47
A telecommunications company is expanding its backend architecture on Alibaba Cloud to add new services but needs to consolidate security management. They use multiple VPCs and want to streamline authorization management across their services.
What strategy should they adopt to simplify security group management across VPCs?
Answer: A
Explanation:
Basic security groups support group-based authorization, allowing one security group ' s rules to reference another security group rather than requiring administrators to maintain long lists of individual IP addresses.
Alibaba Cloud explicitly recommends source-security-group authorization for internal application communication because it is more manageable than maintaining individual private IP addresses or CIDR ranges.
This distinction is important because advanced security groups do not support another security group as an authorization object. Their primary benefit is higher private-IP capacity for very large deployments, not simplified service-to-service authorization.
For workloads residing in different VPCs, network connectivity must first exist through VPC Peering, Cloud Enterprise Network, PrivateLink, or another appropriate mechanism. Security groups do not themselves establish cross-VPC routes; they enforce authorization once the relevant network path exists.
Centralized logging provides visibility but does not simplify the actual authorization rules. Network ACLs operate at the vSwitch/subnet boundary and are less appropriate for application-tier identity based on security- group membership.
Thus, basic security groups with group-based authorization provide the intended simplified access-control model.
Study Guide reference: Securing Workloads on Alibaba Cloud - security groups, group-based authorization, least privilege, and VPC workload segmentation.
NEW QUESTION # 48
Eric is developing a containerized application that will run on an Alibaba Cloud Container Service for Kubernetes (ACK) cluster. This production application will run on a managed ACK cluster that is provisioned with pay-as-you-go instances.
Eric also needs a dedicated ACK cluster for development work. This cluster will be used infrequently to test the resiliency of the application. Due to having a limited workforce and time, Eric hopes that ACK will be able to manage all the nodes in the cluster.
As a Cloud Architect, which of the following solutions will meet these requirements MOST cost-effectively?
Answer: A
Explanation:
The requirements explicitly identify two separate environments: a production ACK cluster using stable pay-as- you-go ECS capacity and a dedicated development cluster that is used only intermittently. Option D satisfies both requirements while preserving ACK-managed node-pool operations.
For the development cluster, preemptible instances-now generally described as spot instances in current Alibaba Cloud documentation-are appropriate because the workload is temporary, interruption-tolerant, and cost-sensitive. Alibaba Cloud states that spot capacity can reduce compute costs substantially compared with ordinary pay-as-you-go instances. ACK node pools can use spot instances and can automatically perform scaling and replacement operations.
The production cluster remains on pay-as-you-go nodes, avoiding the reclamation risk associated with spot capacity. A separate managed development cluster also preserves workload isolation.
Option A does not provide the required second development cluster and imposes subscription commitment.
Option B requires Eric to maintain an external Auto Scaling and bootstrap mechanism, contradicting the desire for ACK to manage nodes. Option C again describes only one cluster and fails to retain the required production environment.
Study Guide reference: Core Infrastructure Deep Dive - ACK managed clusters, node pools, spot
/preemptible ECS, and cloud cost optimization.
NEW QUESTION # 49
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