Jason ' s company is running a traditional web application on Alibaba Cloud ECS instances. The company wants to improve efficiency by refactoring the application as microservices that run on containers. The application must be deployed across multiple environments: production and testing. Load for the application is variable, but the minimum load and maximum load are known. As a Cloud Architect, you have been assigned the job of designing the updated application with a serverless architecture that minimizes operational complexity.
Which solution will meet these requirements MOST cost-effectively?

• A. Upload the container images to Alibaba Cloud Container Registry (ACR) and configure two Alibaba Cloud Container Service for Kubernetes (ACK) Serverless clusters to manage the expected load.
  Deploy services from the ACR images, and configure an ALB for each of the ACK Serverless clusters.
• B. Upload the container images to Function Compute as functions, and configure a concurrency limit to handle the peak load. Serve the functions over API Gateway.
• C. Upload the container images to Serverless App Engine (SAE) and create separate environments and deployments for production and testing. Configure an ALB for each of the SAE deployments.
• D. Upload the container images to Alibaba Cloud Container Registry (ACR) and configure two Alibaba Cloud Container Service for Kubernetes (ACK) Managed clusters to manage the expected load. Deploy services from the ACR images, and configure an ALB for each of the ACK Managed clusters.

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)

• A. Deploy Auto Scaling to automatically scale ECS instances horizontally based on traffic.
• B. Host static images and videos on Object Storage Service (OSS) and configure acceleration with Alibaba Cloud CDN.
• C. Implement Function Compute to handle additional processing demands dynamically.
• D. Set up Application Load Balancer (ALB) to distribute incoming traffic evenly across resources.

A company is designing an application. The application uses a Function Compute function to receive information through API Gateway and to store the information in an ApsaraDB RDS for PostgreSQL database.
During the proof-of-concept stage, the company noticed that the volume and velocity of data is very high, and they had to increase the Function Compute quotas significantly. Even with the increased quotas, they would sometimes lose data. The company has hired Javert, a Cloud Architect, to recommend a new design to improve scalability and minimize the configuration effort.
Which of the following solutions will meet these requirements?

• A. Switch from ApsaraDB RDS to Alibaba Cloud Tablestore, using hot data caching with Tablestore SDK to handle access.
• B. Set up two Function Compute functions. Configure one function to receive the information. Configure the other function to load the information into the database. Integrate the Function Compute functions by using ApsaraMQ for Kafka.
• C. Set up two Function Compute functions. Configure one function to receive the information. Configure the other function to load the information into the database. Integrate the Function Compute functions by using a Simple Message Queue publish model.
• D. Refactor the Function Compute function code to Apache Tomcat code that runs on Elastic Compute Service (ECS) instances. Connect the database by using native Java Database Connectivity (JDBC) drivers.

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?

• A. Copy the data from both EBS data disks to File Storage NAS, then set up the two ECSs to save new documents to File Storage NAS.
• B. Periodically copy data between both EBS data disks so that the data between both data disks are consistent.
• C. Configure the ALB to always route requests of a particular user to the same ECS to ensure their documents are all stored on the same EBS data disk.
• D. Configure the ALB to send requests to both ECS servers to retrieve the full list of documents.