AWS Compute Service

1. Design a Highly Available and Scalable Web Application with Auto Scaling and Load Balancing

  • How would you design a web application using EC2 instances that is both highly available and scalable?
  • What considerations should be made for placement groups, load balancers (ALB vs. NLB), and auto scaling policies?

2. Implementing a Serverless Architecture with AWS Lambda

  • How would you design a serverless architecture for a data processing pipeline using AWS Lambda?
  • What are the best practices for handling cold starts, memory allocation, and concurrency limits?

3. Containerized Applications with ECS and EKS

  • Compare and contrast AWS ECS and EKS for container orchestration.
  • How would you design a hybrid container environment where some services run on ECS and others on EKS?

4. Cost Optimization of EC2 Instances

  • How would you optimize costs for an EC2-based application while maintaining performance and availability?
  • What strategies would you use for instance types, reserved instances, spot instances, and savings plans?

5. Secure and Isolated Environments with VPC and Security Groups

  • How would you design a secure VPC with multiple subnets (public, private, isolated) for a multi-tier application?
  • What security group rules would you implement to restrict access between different layers (e.g., DB, app, web)?

6. Disaster Recovery and Backup Strategy

  • Design a disaster recovery plan for an EC2-based application using AWS services.
  • What role do AMIs, snapshots, CloudFormation, and backups play in this strategy?

7. High Availability with EC2 Auto Scaling Groups

  • How would you configure an Auto Scaling Group to maintain high availability across multiple AZs?
  • What metrics would you monitor for scaling decisions (CPU, custom metrics, etc.)?

8. Performance Optimization for EC2 Instances

  • What are the key factors to consider when optimizing the performance of EC2 instances?
  • How would you tune instance types, disk I/O, and network configurations for a high-performance application?

9. Multi-Tier Application Architecture on AWS

  • Design a multi-tier application (web, app, DB) using AWS services.
  • What compute services would you use for each tier, and how would you ensure communication between them?

10. CI/CD Pipeline for EC2-Based Applications

  • How would you set up a CI/CD pipeline for deploying applications to EC2 instances?
  • What tools would you use (CodePipeline, CodeBuild, CloudFormation, Terraform)? How would you handle blue/green deployments?

11. Hybrid Cloud Compute Architecture

  • How would you design a hybrid cloud solution where part of the compute runs on-premises and part on AWS?
  • What AWS services would you use for connectivity (Direct Connect, VPN, AWS Outposts)?

12. Managing Stateful Workloads on AWS

  • How would you manage stateful workloads on AWS, such as databases or session storage?
  • What options are available for persistent storage (EBS, EFS, RDS, DynamoDB)?

13. Custom Compute Solutions with AWS Batch

  • When would you choose AWS Batch over other compute services?
  • How would you design a batch job execution system that supports parallel processing and job dependencies?

14. Real-Time Data Processing with AWS Fargate

  • How would you use AWS Fargate to run real-time data processing tasks?
  • What are the benefits of Fargate compared to EC2 or EKS?

15. Microservices Architecture with AWS

  • How would you design a microservices architecture using AWS services?
  • Which compute service would you choose (EC2, Fargate, EKS) for each microservice, and why?

16. Handling Sudden Traffic Spikes with Auto Scaling

  • How would you design an application to handle sudden traffic spikes using Auto Scaling and Elastic Load Balancing?
  • What are the trade-offs between different scaling policies (predictive, dynamic, scheduled)?

17. Monitoring and Observability for Compute Resources

  • How would you monitor the health and performance of your compute resources?
  • What AWS services would you use for logging (CloudWatch, X-Ray), metrics, and alerts?

18. Serverless vs. Traditional Compute Services

  • In what scenarios would you prefer a serverless approach (Lambda, Step Functions) over traditional compute (EC2, ECS)?
  • What are the limitations of serverless computing?

19. Secure Access to EC2 Instances

  • How would you securely grant access to EC2 instances in a production environment?
  • What are the best practices for SSH access, IAM roles, and bastion hosts?

20. Migration of On-Premises Workloads to AWS

  • How would you migrate a legacy monolithic application to AWS using EC2?
  • What challenges might you face, and how would you address them?

21. Global Application Deployment with AWS Regions and Edge Locations

  • How would you deploy an application globally using AWS regions and edge locations?
  • What compute services would you use for global load balancing and content delivery?

22. Efficient Use of Spot Instances for Cost Savings

  • How would you design a cost-effective solution using spot instances?
  • What are the risks, and how can they be mitigated (e.g., using fallback on-demand instances)?

23. Kubernetes Cluster Management with EKS

  • How would you manage a Kubernetes cluster on AWS using EKS?
  • What are the differences between managed and self-managed Kubernetes clusters?

24. Designing a Compute Infrastructure for Machine Learning

  • How would you design a compute infrastructure for training and inference of machine learning models?
  • What AWS compute services (EC2, GPU instances, SageMaker) would you use, and why?

25. Compliance and Governance for Compute Resources

  • How would you enforce compliance and governance for compute resources in a large organization?
  • What AWS services (Config, GuardDuty, SCPs) would you use for monitoring and enforcing policies?

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