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| Section | Weight | Objectives |
|---|---|---|
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Cloud Networking Deep Dive
|
| Building Highly Available, Performant Cloud Architecture | 22% | - Leveling up Your Core Infrastructure
|
| Delivering Services and Content on Alibaba Cloud | 12% | - Delivering Services and Content on Alibaba Cloud
|
| Core Infrastructure Deep Dive | 26% | - Core Storage Infrastructure Deep Dive
|
| Securing Workloads on Alibaba Cloud | 22% | - Alibaba Cloud Security Deep Dive
|
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NEW QUESTION # 36
A startup is building a serverless backend for their mobile application on Alibaba Cloud. The backend includes APIs for user authentication, data storage, and real-time notifications. The startup expects variable traffic with unpredictable spikes and wants to minimize costs by paying only for actual usage.
Which combination of Alibaba Cloud services should the startup use to achieve this architecture? (Correct answers: 2)
Answer: B,C
Explanation:
Function Compute and Simple Message Queue form an appropriate serverless, event-driven backend for bursty mobile workloads.
Function Compute is fully managed and automatically allocates elastic compute resources when functions are invoked. Alibaba Cloud bills Function Compute primarily according to actual configured resources and execution duration, allowing the startup to avoid maintaining continuously running application servers. This is particularly suitable for APIs and backend handlers experiencing unpredictable request spikes.
SMQ provides managed asynchronous messaging for decoupling backend components. It supports queue- based processing and publish-subscribe topics, making it suitable for notification events, background jobs, workflow messages, and traffic buffering. Alibaba Cloud explicitly identifies load leveling during sudden traffic spikes as an SMQ use case.
SMQ can also directly trigger Function Compute through queue or topic integrations, creating an event-driven design without dedicated message-consumer servers.
ECS requires persistent server resources and management, which conflicts with the requested serverless operating model. MaxCompute is a large-scale data warehouse and batch analytics platform rather than the application ' s transactional API or messaging layer.
Therefore, Function Compute supplies elastic execution while SMQ provides reliable asynchronous communication and notification-event handling.
Study Guide reference: Delivering Services and Content on Alibaba Cloud - Function Compute, serverless architectures, SMQ, event-driven integration, and elastic application services.
NEW QUESTION # 37
Clash for Victory is a popular online game that is hosted on Alibaba Cloud. As latency can have a huge impact on gameplay, the developers for the game want to implement a mechanism to route all requests to the closest access point, monitor the health of the game, and redirect traffic to healthy backend servers.
The game is deployed in multiple regions on Elastic Compute Service (ECS) instances that are part of Auto Scaling groups configured behind Application Load Balancers (ALBs).
As a Cloud Architect, what course of action would you take?
Answer: A
Explanation:
Global Accelerator is designed for precisely this class of global interactive application. Clients connect through Alibaba Cloud ' s nearby acceleration access points, after which traffic traverses Alibaba Cloud ' s optimized global network toward the most appropriate backend region. This reduces Internet routing variability and improves end-to-end latency for latency-sensitive workloads such as gaming.
GA listeners define the application protocol and ports, while endpoint groups represent backend deployments in different regions. With intelligent routing, GA can select a nearby healthy endpoint group and forward requests accordingly. Alibaba Cloud also provides endpoint health checks; when an endpoint becomes unhealthy, new requests can automatically be directed to healthy endpoints.
CDN is highly effective for static cacheable content but is not the correct primary mechanism for arbitrary real-time game traffic and regional backend health-based routing. RDS and Tair improve application data performance but do not solve global network acceleration.
Therefore, GA in front of regional ALBs provides the correct architecture: nearest-entry acceleration, Alibaba Cloud backbone transport, regional endpoint groups, health monitoring, and failover.
Study Guide reference: Delivering Services and Content on Alibaba Cloud - Global Accelerator, ALB, multi-region traffic management, and high availability.
NEW QUESTION # 38
An educational technology company is migrating its learning management system (LMS) to Alibaba Cloud.
The company mainly serves enterprise-grade customers, hence their platform must support automated backups, high availability across multiple zones, and granular access control for sensitive student records.
You have been hired as the lead Cloud Architect to build their architecture on Alibaba Cloud.
Which of the following architectural components will fit their requirements? (Correct answers: 3)
Answer: B,D,E
Explanation:
Each selected option maps directly to one of the stated enterprise requirements.
A multi-zone PolarDB deployment protects the database against availability-zone-level infrastructure failure.
Alibaba Cloud ' s multi-AZ PolarDB architecture keeps replicated data in separate zones and can use standby resources for failover when the primary zone becomes unavailable, resulting in a higher database SLA than a single-zone deployment.
Cloud Backup provides centralized policy-driven backup and recovery for Alibaba Cloud and on-premises resources, including ECS data, databases, NAS, OSS, and other supported workloads. This addresses the requirement for automated application and database protection without building custom backup infrastructure.
RAM roles and associated policies provide fine-grained authorization. RAM policies define allowed actions, affected resources, and optional access conditions, enabling least-privilege access to sensitive student data and administrative services.
Leaving OSS data unencrypted conflicts with the handling of sensitive enterprise information, while manual ACK scaling does not contribute to the stated requirement for high availability or automated operations.
The resulting architecture therefore combines multi-AZ database resilience, managed backup protection, and fine-grained identity authorization.
Study Guide reference: Securing Workloads on Alibaba Cloud - RAM; Building Highly Available, Performant Cloud Architecture - PolarDB HA and Cloud Backup.
NEW QUESTION # 39
A company is building a big data analytics platform on Alibaba Cloud to process and analyze petabytes of data. They require a highly scalable storage solution that can handle both structured and unstructured data, and a processing framework that supports batch and interactive queries.
Which combination of Alibaba Cloud services should the company use to build this platform? (Correct answers: 3)
Answer: A,C,D
Explanation:
OSS, E-MapReduce, and MaxCompute collectively provide the strongest large-scale analytics architecture among the listed services.
OSS supplies the scalable data-lake storage layer. Alibaba Cloud describes OSS-based data lakes as capable of retaining structured, semi-structured, and unstructured datasets at very large scale while decoupling storage capacity from compute resources. OSS storage can scale independently into exabyte-scale environments.
E-MapReduce provides managed big-data processing based on ecosystems such as Hadoop and Spark and integrates directly with OSS. EMR DataLake configurations support Spark and Hive for batch workloads and Presto/Trino for interactive SQL analysis, making EMR highly appropriate for workloads requiring both scheduled processing and ad-hoc querying.
MaxCompute supplies a massively scalable managed data-warehouse and analytical processing layer. Alibaba Cloud also supports architectures where MaxCompute processes structured analytical datasets while OSS provides the underlying flexible data-lake storage.
PolarDB is an operational relational database and is not intended to act as the primary petabyte-scale data-lake processing platform. Elasticsearch is valuable for search and log analytics but does not replace the combination of OSS, EMR, and MaxCompute for generalized big-data processing.
Study Guide reference: Core Infrastructure Deep Dive - OSS data lakes, EMR, MaxCompute, distributed analytics, batch processing, and interactive query architectures.
NEW QUESTION # 40
A company has a data ingestion workflow that consists of:
* An Alibaba Cloud Simple Message Queue topic for notifications about new data deliveries.
* An Alibaba Cloud Function Compute service to process the data and record metadata.
The company observes that the ingestion workflow fails occasionally because of network connectivity issues.
When such a failure occurs, the Function Compute instance does not ingest the corresponding data unless the company manually reruns the job.
Which combination of actions should a solutions architect take to ensure that the Function Compute instance ingests all data in the future? (Correct answers: 2)
Answer: B,D
Explanation:
The core problem is durability during transient processing or network failures. A topic provides publish
/subscribe notification delivery, but placing an SMQ queue behind the topic creates a persistent buffer between the notification producer and the Function Compute consumer. Alibaba Cloud supports subscribing a queue to an SMQ topic so that every message published to the topic is copied into the queue and retained for consumption.
Function Compute should then process records from the queue. Queue semantics provide the required failure recovery: after a consumer receives a message, it becomes temporarily invisible. The consumer deletes the message only after successful processing. If processing fails-for example because of a temporary connectivity problem-the message is not deleted and becomes visible again after the visibility timeout, allowing another processing attempt.
Function Compute also supports SMQ queue triggers with configurable retries, fault-tolerance behavior, and dead-letter handling, which can further strengthen this architecture.
Increasing memory does not fix network reliability, and multi-region deployment alone does not guarantee message persistence. A durable queue therefore prevents transient failures from silently losing ingestion work.
Study Guide reference: Core Infrastructure Deep Dive - Simple Message Queue, Function Compute, durable asynchronous processing, retries, and decoupled event-driven architecture.
NEW QUESTION # 41
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