Aws Interview Questions - ( For All Services )

ALI MASIU ZAMAALI MASIU ZAMA
5 min read

1. General AWS Basics

  • What is AWS, and why do companies use it?

  • Can you explain the difference between Regio

  • ns and Availability Zones in AWS?

  • What are Edge Locations, and why are they important for AWS services?

  • How do Reserved Instances differ from On-Demand and Spot Instances?

  • Explain AWS Shared Responsibility Model and its importance in cloud security.

  • What is the AWS Free Tier, and how can it be leveraged?

2. Compute Services (EC2, Lambda, ECS, EKS)

  • Describe the main differences between EC2 and Lambda.

  • What are some ways to reduce costs associated with EC2?

  • How would you decide between using ECS (Elastic Container Service) and EKS (Elastic Kubernetes Service)?

  • What is an EC2 Auto Scaling Group, and how does it improve fault tolerance?

  • Explain how you can use Lambda for serverless computing in AWS.

  • Describe how Lambdaโ€™s pricing model works. How is it different from EC2โ€™s?

  • What are Fargate tasks in ECS, and when would you use them?

3. Storage Services (S3, EBS, EFS, Glacier)

  • What are the key differences between S3, EBS, and EFS?

  • How does S3 lifecycle policy work, and why would you use it?

  • Explain the S3 storage classes and when to use each.

  • What are some use cases for Amazon Glacier?

  • Describe S3 bucket versioning and why itโ€™s important.

  • How can you secure S3 buckets to prevent unauthorized access?

  • What are some benefits of EBS over local storage?

4. Database Services (RDS, DynamoDB, Redshift, Aurora)

  • Compare and contrast RDS and DynamoDB.

  • What is the difference between RDS Multi-AZ and Read Replicas?

  • When would you use DynamoDB over RDS?

  • Explain the use cases for Amazon Redshift.

  • What are the primary benefits of using Aurora compared to standard MySQL or PostgreSQL on RDS?

  • What is DynamoDB Streams, and how does it work?

  • Describe Amazon Aurora Serverless and when it is beneficial.

5. Networking & Content Delivery (VPC, CloudFront, Route 53)

  • Describe the main components of an Amazon VPC.

  • How does an internet gateway differ from a NAT gateway?

  • What are some ways to secure a VPC?

  • Explain the differences between Route 53 routing policies.

  • Describe CloudFront and how it speeds up content delivery.

  • What is an Elastic Load Balancer, and what types of load balancers does AWS offer?

  • How can you use VPC peering to connect multiple VPCs?

6. Developer Tools (CodeBuild, CodeDeploy, CodePipeline)

  • Explain how AWS CodePipeline helps in CI/CD processes.

  • What is CodeBuild, and how does it differ from other build tools?

  • Describe the workflow of AWS CodeDeploy and how it manages deployments.

  • How does CodeCommit compare to other version control systems like GitHub or Bitbucket?

  • How can you automate deployments with CodePipeline and Lambda?

  • Explain how AWS X-Ray can help with application debugging and monitoring.

7. Security, Identity, and Compliance (IAM, KMS, CloudTrail)

  • What is IAM, and why is it critical to AWS security?

  • Explain the concept of IAM roles and policies.

  • How does AWS Key Management Service (KMS) enhance security?

  • What is AWS CloudTrail, and how is it useful for security and compliance?

  • Describe Multi-Factor Authentication (MFA) and its importance in AWS.

  • What are Security Groups, and how do they differ from NACLs (Network ACLs)?

  • How would you set up cross-account access in AWS?

8. Machine Learning (SageMaker, Rekognition, Translate)

  • What is Amazon SageMaker, and how does it simplify machine learning?

  • How does Rekognition help with image and video analysis?

  • Describe some use cases for Amazon Translate.

  • Explain the concept of a SageMaker notebook instance and its use.

  • What is SageMaker Ground Truth, and how does it help with data labeling?

  • How can you use SageMaker to train and deploy a machine learning model?

9. Analytics (Athena, Kinesis, EMR, QuickSight)

  • What is Amazon Athena, and how does it make querying data easier?

  • Explain how Amazon Kinesis works and some of its use cases.

  • Compare Amazon EMR with standard Hadoop deployment.

  • How does QuickSight help with business intelligence and analytics?

  • What is the purpose of AWS Glue, and how does it simplify ETL processes?

  • Describe a scenario where you would use Amazon Redshift Spectrum.

10. Migration & Hybrid Architecture (DMS, Snowball, Outposts)

  • What is AWS Database Migration Service (DMS), and how does it simplify database migrations?

  • Describe the use cases for AWS Snowball.

  • How does AWS Outposts enable hybrid cloud solutions?

  • What are some benefits of using AWS Direct Connect?

  • How does the AWS Migration Hub help in migrating resources to AWS?

  • Explain the steps involved in migrating a large on-premises database to AWS.

11. Cost Optimization & Management (Cost Explorer, Budgets, Trusted Advisor)

  • How does AWS Cost Explorer help with cost management?

  • What are AWS Budgets, and how can they assist in financial planning?

  • Explain the AWS Trusted Advisor and its key features.

  • Describe how you would optimize costs in AWS.

  • What are Savings Plans, and how do they differ from Reserved Instances?

12. IoT and Edge Services (IoT Core, Greengrass)

  • What is AWS IoT Core, and what are some of its applications?

  • How does AWS Greengrass help in edge computing?

  • Explain the benefits of using IoT Analytics in AWS.

  • Describe how device management works with AWS IoT Core.

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Written by

ALI MASIU ZAMA
ALI MASIU ZAMA

๐Ÿš€ ๐€๐›๐จ๐ฎ๐ญ ๐Œ๐ž "Hi, I'm Ali masiu zama, a DevOps student passionate about cloud computing and automation. I'm currently learning AWS, Linux, Docker, and CI/CD pipelines, with a focus on automating workflows and building scalable solutions. My goal is to become a skilled DevOps engineer, and I'm excited to share my learning journey and projects with the community."