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| Section | Objectives |
|---|---|
| Topic 1: Building Enterprise-grade Networks on Alibaba Cloud | - Cloud Networking Deep Dive |
| Topic 2: Delivering Services and Content on Alibaba Cloud | - Delivering Services and Content on Alibaba Cloud |
| Topic 3: Core Infrastructure Deep Dive | - Core Compute Infrastructure Deep Dive - Best Practices for Database Services - Core Storage Infrastructure Deep Dive |
| Topic 4: Securing Workloads on Alibaba Cloud | - Alibaba Cloud Security Deep Dive |
| Topic 5: Building Highly Available, Performant Cloud Architecture | - Leveling up Your Core Infrastructure |
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NEW QUESTION # 39
Clarence runs a retail company that hosts an e-commerce website on Alibaba Cloud across multiple Alibaba Cloud regions. Clarence wants the website to be operational at all times to ensure customers can make purchases around the clock. The website stores data in a PolarDB for MySQL instance.
Which of the following solutions will provide the HIGHEST availability for the database?
Answer: B
Explanation:
Global Database Network is the architecture specifically intended for geographically distributed PolarDB deployments requiring cross-region data replication, local read capability, and disaster recovery. A GDN contains a primary cluster plus secondary clusters in other regions. Data is continuously synchronized between them. Applications can connect to regional cluster endpoints; read requests can be served locally while write requests are routed to the primary cluster. Alibaba Cloud also supports switching the primary cluster to a secondary cluster, including forced switchover scenarios for failures.
Option C provides strong node-level and zone-level availability within a PolarDB cluster, but it does not deliver the same level of protection against an entire regional outage. Option D relies on backup restoration, which introduces significantly higher RTO and operational intervention. Option B invents an unnecessary Function Compute replication mechanism instead of using PolarDB ' s native cross-region replication.
For a mission-critical global e-commerce database, GDN provides the best combination of cross-region redundancy, replication, local reads, and regional failover capabilities.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - PolarDB high availability, cross-region disaster recovery, and Global Database Network.
NEW QUESTION # 40
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 # 41
Keanu uses Elastic Compute Service (ECS) instances to run batch jobs to process data at 00:00 AM and 04:00 AM every day. An Auto Scaling group manages the ECS instances, which run as pay-as-you-go instances. If a batch job fails on one instance, another instance will reprocess the job.
Which of the following solutions provides the MOST cost-effective way to run these jobs?
Answer: A
Explanation:
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.
NEW QUESTION # 42
A company is deploying a mission-critical application on Alibaba Cloud ECS instances that require high availability and failover capabilities. The application must remain accessible even if an entire zone fails.
Which deployment strategy should the company use to ensure high availability?
Answer: C
Explanation:
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.
NEW QUESTION # 43
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: D
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 # 44
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