The Alibaba Cloud CAP-C01 exam questions pdf is properly formatted to give candidates the asthenic and unformatted information they need to succeed in the CAP-C01 exam. In addition to the comprehensive material, a few basic and important questions are highlighted and discussed in the CAP-C01 Exam Material file. These questions are repeatedly seen in past Alibaba Cloud Certified Professional: Cloud Architect exam papers. The Alibaba Cloud Certified Professional: Cloud Architect practice questions are easy to access and can be downloaded anytime on your mobile, laptop, or MacBook.
| Section | Weight | Objectives |
|---|---|---|
| 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
|
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Cloud Networking Deep Dive
|
| Building Highly Available, Performant Cloud Architecture | 22% | - Leveling up Your Core Infrastructure
|
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NEW QUESTION # 34
An application runs on an Elastic Compute Service (ECS) with an Elastic IP address in VPC A within Alibaba Cloud. The application requires access to a database in VPC B. Both VPCs are in the same Alibaba Cloud account.
Which of the following solutions will provide the required access MOST securely?
Answer: D
Explanation:
VPC peering provides direct private communication between two VPCs without exposing either application or database traffic to the public Internet. Alibaba Cloud VPCs are isolated by default. After creating a peering connection and configuring the required bidirectional routes, resources in VPC A and VPC B can communicate using private IP addresses. VPC peering supports same-account and cross-account connections as well as same-region and cross-region configurations.
This is materially more secure than exposing the database publicly. The application ' s existing EIP does not need to participate in database connectivity; the application can use its ECS private address when communicating across the peering link. Security-group and database whitelist rules should then restrict access to only the required source CIDRs and ports.
Option A intentionally routes database access through public addressing. Option B introduces an unnecessary proxy server, additional management overhead, and another failure point. Option D creates the largest attack surface by making the database Internet-accessible.
The design principle is straightforward: when workloads in two Alibaba Cloud VPCs require direct communication, establish private network connectivity and keep sensitive database traffic off the Internet.
Study Guide reference: Building Enterprise-grade Networks on Alibaba Cloud - VPC isolation, VPC peering, routing, and private database access.
NEW QUESTION # 35
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: B,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 # 36
Camila has set up a simple blog hosted on a single Elastic Compute Service (ECS) instance, storing images and files on an Elastic Block Storage (EBS) disk within the ECS instance, and relying on an ApsaraDB RDS for MySQL instance for its data tier. Camila wants to scale up her blog and enhance both resilience and performance with minimal changes to the application.
As a Cloud Architect, which combination of actions can you take to improve both resilience and performance of the website? (Correct answers: 3)
Answer: C,D,E
Explanation:
The existing architecture has two important bottlenecks: a single ECS compute node and files stored on storage attached to that individual ECS instance. Option E eliminates the compute single point of failure. A custom image allows identical ECS instances to be created, while Auto Scaling maintains multiple instances and ALB distributes requests across healthy backends. This provides horizontal scalability and significantly stronger application availability.
Option D addresses shared application storage. File Storage NAS is a managed, POSIX-compatible shared filesystem that multiple ECS instances can mount concurrently. All web servers therefore see the same files, while NAS handles storage scalability and consistency independently from the ECS lifecycle.
Option A improves performance by moving cacheable website content toward users. CDN serves static resources from nearby POPs and reduces requests and bandwidth reaching the origin infrastructure.
Although OSS is excellent for native object-storage workloads, mounting OSS through ossfs does not provide the same filesystem semantics and consistency characteristics as NAS for a traditional application requiring minimal modification. Global Accelerator primarily optimizes network paths and does not eliminate the application ' s compute or storage single points of failure.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - ALB, Auto Scaling, NAS shared storage, and CDN.
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
Kenneth plans to deploy a real-time data processing platform on Alibaba Cloud to support his company ' s Internet-of-Things (IoT) business. The platform will handle millions of sensor data points collected from smart devices globally. Kenneth needs to ensure high throughput and low latency for data ingestion and analysis.
Which solutions should Kenneth consider integrating into the platform architecture to meet his expected performance requirements? (Correct answers: 3)
Answer: A,C,D
Explanation:
Time Series Database is specifically designed for timestamped telemetry generated by IoT devices, monitoring systems, and industrial equipment. Alibaba Cloud identifies IoT device monitoring as a core TSDB scenario, including continuously collecting, storing, analyzing, and querying device-status and business-event data in real time.
ApsaraMQ for Kafka provides the high-throughput ingestion and buffering layer. It is a managed distributed Kafka platform intended for real-time data pipelines, monitoring-data aggregation, log collection, streaming processing, and large-scale analytics. Its partitioned distributed architecture lets producers ingest very large event volumes while downstream consumers process the streams independently.
Function Compute supplies elastic event processing without persistent compute servers. Alibaba Cloud supports ApsaraMQ for Kafka triggers that invoke Function Compute automatically whenever new records arrive in Kafka topics. This enables functions to perform transformations, filtering, enrichment, alert generation, or routing in near real time.
EMR is valuable for Hadoop/Spark-style batch analytics, but the question specifically emphasizes low-latency real-time ingestion and analysis. It therefore does not replace the streaming components selected above.
Study Guide reference: Core Infrastructure Deep Dive - IoT telemetry, TSDB, ApsaraMQ for Kafka, Function Compute, and real-time streaming architectures.
NEW QUESTION # 39
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