Aws Lambda Interview Questions
AWS Lambda Interview Preparation: Common Questions and Tips
Aws Lambda Interview Questions
In an AWS Lambda interview, you can expect questions regarding serverless computing concepts, AWS Lambda architecture, event sources, triggers, execution environment, programming languages supported by Lambda, scalability, performance optimization, monitoring, logging, security, and best practices for designing and deploying AWS Lambda functions. Employers may also ask about your experience with AWS services, troubleshooting skills, familiarity with AWS CLI and SDK, as well as your ability to work with infrastructure as code tools like CloudFormation or Terraform. It is important to demonstrate your understanding of serverless principles, hands-on experience with AWS Lambda, and problem-solving skills to succeed in an AWS Lambda interview.
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1 - What is AWS Lambda and how does it work?
AWS Lambda is a serverless computing service provided by Amazon Web Services that allows users to run code without provisioning or managing servers. When a request triggers the Lambda function, AWS automatically allocates the resources needed to run that code, executes it, and then scales down resources when the code finishes running, making it cost effective and efficient.
2) How can you trigger a Lambda function?
Lambda functions can be triggered by various events such as changes in data in an Amazon S3 bucket, updates to a DynamoDB table, or API Gateway requests. You can also use AWS CloudWatch Events, which enable you to trigger Lambda functions based on a schedule or specific system events.
3) What programming languages are supported by AWS Lambda?
AWS Lambda supports a variety of programming languages including Node.js, Python, Java, Ruby, Go, and .NET Core. This flexibility allows developers to choose the language that best suits their project requirements.
4) What are the key differences between AWS Lambda and EC2 instances?
One of the main differences is that with AWS Lambda, you only pay for the compute time you consume when your code is running, whereas with EC2 instances, you pay for the entire virtual server and the time it is running. Additionally, Lambda automatically scales based on the incoming request rate, while EC2 instances require manual scaling.
5) How does AWS Lambda manage dependencies for your function?
AWS Lambda has a feature called Layers, which allows you to package and include additional code and dependencies with your Lambda function. This helps manage dependencies more efficiently and reduces the size of the deployment package for the function.
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