Your team is developing a set of Lambda functions.
You need to ensure the team uses the best practices for working with AWS Lambda.
Choose one of the options given below.
Click on the arrows to vote for the correct answer
A. B. C. D.Answer - C.
Option A is incorrect because Lambda functions can have external dependencies.
Option B is incorrect because it is recommended to use environment variables in Lambda functions.
Option C is CORRECT because the method allows you to make the function clean and unit-testable.
Option D is incorrect because recursive code should be avoided in Lambda functions.
For more information on best practices, please refer to the below URLs-
https://docs.aws.amazon.com/lambda/latest/dg/best-practices.html https://docs.aws.amazon.com/lambda/latest/dg/running-lambda-code.htmlOut of the options given, the best practice for working with AWS Lambda is to separate the Lambda handler from your core logic (Option C).
Here's a more detailed explanation:
AWS Lambda is a serverless compute service that allows you to run code without provisioning or managing servers. With Lambda, you can write code in several programming languages and execute it in response to events, such as changes to data in an Amazon S3 bucket, updates to an Amazon DynamoDB table, or custom events generated by your applications or services.
When working with AWS Lambda, it's important to follow best practices to ensure that your functions are efficient, scalable, and maintainable. Some of the best practices include:
Separating the Lambda handler from your core logic: The Lambda handler is the entry point for your function, and it's responsible for receiving the event data and passing it to your core logic. By separating the handler from your core logic, you can make your code more modular and easier to test and maintain. You can also reuse the same core logic across multiple Lambda functions.
Keeping your Lambda functions small and focused: Each Lambda function should have a single responsibility and do one thing well. This makes it easier to reason about your code, test it, and deploy it. It also helps to reduce the size and complexity of your functions, which can improve their performance and reduce their cold start time.
Minimizing external dependencies: Your Lambda functions should have as few external dependencies as possible. This makes them more self-contained and easier to deploy and manage. If you need to use external libraries or modules, consider packaging them with your function or using AWS Lambda Layers.
Using environment variables sparingly: Environment variables can be used to pass configuration information to your Lambda functions. However, you should use them sparingly and avoid hard-coding sensitive information in your code. Instead, consider using AWS Secrets Manager or AWS Systems Manager Parameter Store to securely store and retrieve your configuration data.
Avoiding recursive code: Recursive code can be difficult to understand, debug, and optimize. Instead, consider using iterative algorithms or functional programming techniques to solve your problems.
In summary, when working with AWS Lambda, you should separate the Lambda handler from your core logic, keep your functions small and focused, minimize external dependencies, use environment variables sparingly, and avoid recursive code.