aws developer Interview Questions and Answers
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What are the core AWS services you're familiar with?
- Answer: I'm proficient with EC2 (for compute), S3 (for storage), Lambda (for serverless computing), RDS (for databases), API Gateway (for APIs), DynamoDB (for NoSQL database), SQS (for message queuing), and IAM (for security). My experience also includes working with other services like CloudFormation, CloudWatch, and Elastic Beanstalk depending on project needs.
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Explain the difference between EC2 and Lambda.
- Answer: EC2 provides virtual servers where you manage the operating system and underlying infrastructure. Lambda is a serverless compute service; you upload your code, and AWS manages the servers. Lambda is ideal for event-driven architectures and functions that don't require constant uptime, while EC2 offers more control and is suitable for applications requiring persistent servers.
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How do you ensure security in your AWS deployments?
- Answer: Security is paramount. I use IAM roles and policies to grant least privilege access, regularly review security groups to limit inbound and outbound traffic, employ encryption at rest (using S3 server-side encryption) and in transit (using HTTPS), and leverage AWS services like AWS WAF (Web Application Firewall) and Shield for protection against DDoS attacks. I also utilize CloudTrail for auditing and monitoring activities.
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Describe your experience with databases on AWS.
- Answer: I have experience with both relational databases using RDS (MySQL, PostgreSQL, etc.) and NoSQL databases like DynamoDB. I understand the trade-offs between them and choose the appropriate database based on the application's requirements. My experience includes database design, optimization, and schema management.
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What is the difference between S3 and EBS?
- Answer: S3 is object storage, ideal for storing unstructured data like images, videos, and backups. EBS (Elastic Block Store) is block storage that attaches to EC2 instances, providing persistent storage for applications running on those instances. S3 is highly scalable and durable, while EBS offers higher performance for applications requiring low latency.
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Explain how you would handle scaling an application on AWS.
- Answer: My approach depends on the application architecture. For EC2, I would use Auto Scaling groups to automatically adjust the number of instances based on demand. For serverless applications using Lambda, I would configure concurrency settings to handle increased traffic. I would also use CloudWatch to monitor metrics and trigger scaling actions proactively.
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How do you monitor your AWS applications?
- Answer: I heavily rely on CloudWatch for monitoring various metrics like CPU utilization, memory usage, network traffic, and error rates. I set up alarms to notify me of critical events and use dashboards to visualize key performance indicators (KPIs). I also use X-Ray for tracing requests and identifying performance bottlenecks.
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Describe your experience with AWS CloudFormation or Terraform.
- Answer: I have experience with [choose one or both, and elaborate]: CloudFormation allows me to define and manage my AWS infrastructure as code, making deployments repeatable and consistent. Terraform provides a similar capability but offers multi-cloud support. I understand how to create templates/modules, handle dependencies, and manage infrastructure changes efficiently.
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How do you handle deployment to AWS?
- Answer: I typically use CI/CD pipelines (e.g., using Jenkins, GitLab CI, or AWS CodePipeline) to automate the deployment process. This involves building the application, running tests, and deploying the artifacts to AWS using tools like CodeDeploy or directly interacting with the AWS APIs. This ensures consistent and reliable deployments.
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