Cloud deployment overview (AWS, Azure) in Spring Boot - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Understanding AWS Elastic Beanstalk Deployment

You deploy a Spring Boot application using AWS Elastic Beanstalk. What happens when you upload a new version of your application?

A Elastic Beanstalk only stores the new version but does not deploy it automatically.

B Elastic Beanstalk creates a new environment and deletes the old one immediately.

C Elastic Beanstalk requires manual server restarts after deployment to apply changes.

D Elastic Beanstalk updates the existing environment by deploying the new version with zero downtime using rolling updates.

💡 Hint

Think about how Elastic Beanstalk manages application updates to avoid downtime.

AWS Elastic Beanstalk performs rolling updates to deploy new application versions without downtime by updating instances in batches.

❓ Architecture

intermediate

Azure App Service Deployment Architecture

You want to deploy a Spring Boot app on Azure App Service. Which architecture best describes how Azure manages your app?

A Azure App Service runs your app on dedicated virtual machines that you manage directly.

B Azure App Service runs your app in a managed platform with automatic scaling and patching, abstracting the underlying infrastructure.

C Azure App Service requires you to manually configure load balancers and virtual networks for your app.

D Azure App Service only supports containerized apps, so you must use Docker for deployment.

💡 Hint

Consider how Azure App Service simplifies app hosting by managing infrastructure for you.

Azure App Service provides a fully managed platform that handles scaling, patching, and infrastructure, so you focus on your app code.

❓ security

advanced

Securing Spring Boot App on AWS with IAM Roles

You deploy a Spring Boot app on AWS EC2 instances. You want the app to access S3 buckets securely without embedding credentials. Which is the best practice?

A Store AWS access keys in application.properties and encrypt the file.

B Use environment variables to store AWS credentials on each EC2 instance.

C Assign an IAM role to the EC2 instances with permissions to access the S3 buckets.

D Hardcode AWS credentials in the Spring Boot source code.

💡 Hint

Think about AWS best practices for granting permissions to EC2 instances.

Assigning IAM roles to EC2 instances allows secure, temporary credentials managed by AWS without hardcoding or manual management.

❓ service_behavior

advanced

Azure App Service Auto-Scaling Behavior

Your Spring Boot app is deployed on Azure App Service with auto-scaling enabled based on CPU usage. What happens when CPU usage exceeds the threshold?

A Azure App Service automatically adds more instances to handle the load.

B Azure App Service restarts the existing instances to reduce CPU usage.

C Azure App Service sends an alert but does not change the number of instances.

D Azure App Service shuts down the app to prevent overload.

💡 Hint

Consider how auto-scaling helps maintain app performance under load.

Azure App Service auto-scaling adds instances automatically when CPU usage exceeds the set threshold to maintain performance.

✅ Best Practice

expert

Choosing Deployment Strategy for Zero Downtime on AWS

You want to deploy a new version of your Spring Boot app on AWS with zero downtime and the ability to quickly roll back if needed. Which deployment strategy should you choose?

A Blue/Green deployment using Elastic Beanstalk environments.

B In-place deployment by updating the existing instances directly.

C Manual deployment by stopping the app, updating, then restarting.

D Deploy to a single instance and switch traffic manually.

💡 Hint

Think about strategies that allow running two environments simultaneously.

Blue/Green deployment creates two separate environments so you can switch traffic instantly and roll back easily, ensuring zero downtime.