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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Core Infrastructure Deep Dive | 26% | - Core Storage Infrastructure Deep Dive
|
| Topic 2: Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Cloud Networking Deep Dive
|
| Topic 3: Building Highly Available, Performant Cloud Architecture | 22% | - Leveling up Your Core Infrastructure
|
| Topic 4: Securing Workloads on Alibaba Cloud | 22% | - Alibaba Cloud Security Deep Dive
|
| Topic 5: Delivering Services and Content on Alibaba Cloud | 12% | - Delivering Services and Content on Alibaba Cloud
|
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NEW QUESTION # 50
Muthu is a Cloud Architect who is designing the architecture of a new application being deployed to Alibaba Cloud. The application will run on Elastic Compute Service (ECS) pay-as-you-go instances and will automatically scale across multiple zones based on load. The ECS cluster will scale in and out frequently throughout the day. An Application Load Balancer (ALB) will handle the load distribution. The architecture needs to support distributed session data management.
What should Muthu do to ensure that the architecture supports distributed session data management?
Answer: C
Explanation:
Tair (Redis OSS-Compatible) is the appropriate centralized session-state layer for an elastic, distributed application. When ECS instances frequently scale in and out, application sessions must not depend on the lifecycle of any individual compute node. By storing session tokens and session state in Tair, every ECS instance can retrieve the same session information, making the web/application tier effectively stateless and compatible with Auto Scaling.
Alibaba Cloud Tair is a fully managed Redis-compatible database designed for high throughput, low latency, elastic scalability, and high availability. Alibaba Cloud also documents session-oriented Tair use cases in which session tokens are stored as Redis/Tair data structures with TTL values, demonstrating precisely why the service fits distributed session management.
Session stickiness is weaker because it attempts to keep a user on a specific backend and therefore creates affinity to an instance that might be removed during scaling or failover. CloudMonitor is an observability service, not a session store. STS issues temporary Alibaba Cloud credentials and does not maintain application user sessions.
Consequently, separating session state from ECS compute by storing it in Tair gives the architecture the elasticity and fault tolerance required.
Study Guide reference: Distributed Architecture on Alibaba Cloud; Performant Architecture; Core Infrastructure Deep Dive.
NEW QUESTION # 51
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 # 52
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: C
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 # 53
A fintech startup is building a transaction monitoring application using Alibaba Cloud Container Service for Kubernetes (ACK). They are debating between adopting a dedicated cluster setup versus a serverless architecture to ensure scalability and cost efficiency.
What factors should they consider to decide between a serverless or a dedicated ACK deployment? (Correct answers: 2)
Answer: A,B
Explanation:
The fundamental decision is the trade-off between infrastructure control and infrastructure abstraction.
A conventional managed/dedicated Kubernetes environment gives architects greater control over node pools, instance types, resource placement, operating-system configuration, network topology, specialized hardware, and related infrastructure choices. This makes Option B appropriate when a regulated fintech application requires exact control over the compute and networking environment.
ACK Serverless takes the opposite approach. Alibaba Cloud manages the underlying node infrastructure, and workloads run without customers purchasing or maintaining worker nodes. Alibaba ' s documentation states that ACK Serverless uses pay-as-you-go resource consumption and can scale pods rapidly, making it particularly appropriate for variable or unpredictable workloads.
Alibaba Cloud also explicitly describes ACK Serverless as Kubernetes-compatible infrastructure where customers focus on application development while paying according to CPU and memory resources requested by workloads.
Option A is too absolute: dedicated Kubernetes infrastructure does not inherently guarantee lower application latency; latency depends on workload, topology, instance configuration, networking, and scaling behavior.
Option C is also incorrect because both managed and serverless ACK environments integrate deeply with Alibaba Cloud networking services.
Study Guide reference: Core Infrastructure Deep Dive - ACK deployment models, serverless containers, cluster control, elasticity, and cost optimization.
NEW QUESTION # 54
Lucy is a Cloud Architect at a new organization. They are creating a new application for their subscribers, which consists of a single static page and a persistent database layer. Based on the performance of their website, the application will experience traffic from millions of users for 4-6 hours in the morning, but only a few thousand for the rest of the day. Furthermore, the data engineers in the organization have requested that the app support rapid access to the database for their data warehouse requirements.
Which of the following solutions can meet these requirements while providing the MOST scalability?
(Correct answers: 2)
Answer: C,D
Explanation:
The workload has an extreme daily usage differential, making serverless PolarDB more appropriate than a fixed database configuration. PolarDB Serverless automatically scales compute resources up or out when CPU, memory, or database load increases and scales them down when demand subsides. This allows the database tier to accommodate millions of morning users without permanently paying for peak capacity throughout the remainder of the day.
The application front end is a single static page, so ECS instances are unnecessary. OSS can host HTML, CSS, JavaScript, images, and other static files directly. Placing Alibaba Cloud CDN in front of the OSS bucket caches those files at globally distributed edge nodes and serves requests from locations near users.
Alibaba Cloud recommends OSS + CDN for high-concurrency static websites because it reduces access latency and removes most origin load.
Option A can scale but retains fixed provisioned database resources and therefore provides less elasticity than the serverless model. Option D creates unnecessary compute infrastructure for content that requires no server- side execution.
The architecture therefore separates an infinitely scalable static delivery tier from an elastic serverless persistent database tier.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - PolarDB Serverless, OSS static hosting, CDN, and automatic resource scaling.
NEW QUESTION # 55
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