If you’re preparing for an AWS Lambda interview, you might be wondering what kind of questions you’ll be asked. In this blog post, we’ll go over some of the most popular questions that are asked in AWS Lambda interviews, so that you can be prepared for whatever comes your way. We’ll cover topics like Lambda functions, serverless architecture, and more, so that you can show off your AWS Lambda knowledge and land the job you want.
What is AWS Lambda?
AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to run code for virtually any type of application or backend service – all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability.
Lambda can be used to process DynamoDB streams, react to S3 events, call functions from your mobile apps, run administrative tasks using Lambda Scheduled Events, and much more.
What are the benefits of using AWS Lambda?
AWS Lambda is a serverless computing platform that allows you to run code without provisioning or managing servers. Lambda can be used for a variety of applications, including backend services, event-driven applications, and data processing jobs.
The benefits of using AWS Lambda include:
1. No need to provision or manage servers: With Lambda, you can run your code without provisioning or managing servers. You don’t have to worry about capacity planning, server maintenance, or scaling your resources.
2. Continuous scaling: Lambda automatically scales your application based on demand. There is no need to manually scale your application or configure auto-scaling rules.
3. Reduced cost: Because you only pay for the compute time you consume, Lambda can help you reduce your overall IT costs. There is no need to pay for idle server time or capacity that you don’t use.
4. Fast deployment: Lambda makes it easy to deploy and update your code. You can simply upload your code and Lambda will take care of the rest. There is no need to worry about configuring servers or deploying dependencies.
5. High availability: Lambda runs your code on a highly available compute infrastructure that is designed to be scalable and fault tolerant
How does AWS Lambda work?
AWS Lambda is a compute service that lets you run code without provisioning or managing servers. Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume – there is no charge when your code is not running.
With Lambda, you can run code for virtually any type of application or backend service – all with zero administration. Just upload your code and Lambda takes care of everything required to run and scale your code with high availability. You can set up your code to automatically trigger from other AWS services or call it directly from any web or mobile app.
What are some of the key features of AWS Lambda?
AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
Some of the key features of AWS Lambda include:
– Event-driven: Lambda functions are triggered by events, such as an HTTP request or a file upload to Amazon S3. This allows you to build event-driven applications and respond quickly to new information.
– Scalable: Lambda functions can run concurrently on multiple instances, so you can scale your application seamlessly without provisioning or managing any servers.
– No infrastructure management: With Lambda, there is no need to worry about patching, capacity provisioning, or monitoring your servers. AWS takes care of all the und
How do I get started with AWS Lambda?
If you’re looking to get started with AWS Lambda, there are a few things you’ll need to do first. Firstly, you’ll need to create an AWS account if you don’t already have one. Once you’ve done that, you can head over to the Lambda console and create a new function. When creating your function, you’ll need to select a runtime (either Node.js, Python, Java, or Go), and then choose an existing role or create a new one. Once your function is created, you can start configuring it to suit your needs. For more information on how to get started with AWS Lambda, check out the official documentation.
What are some of the best practices for using AWS Lambda?
When it comes to using AWS Lambda, there are a few best practices that you should keep in mind. First and foremost, you should always test your code before deploying it. This will ensure that your code is working as expected and will help avoid any potential issues.
Another important best practice is to use the appropriate Lambda function for the task at hand. There are a variety of different Lambda functions available, so be sure to choose the one that is best suited for your needs.
Finally, you should always monitor your Lambda functions after they have been deployed. This will help you identify any potential issues and ensure that your functions are running smoothly.
In conclusion, these are some of the most commonly asked AWS Lambda interview questions. Be sure to brush up on your knowledge of this topic before your next interview so that you can ace it and land the job you want.