What are the primary components required for creating a Lambda function?

  • Database and storage setup
  • Function code and handler
  • Operating system and kernel
  • Virtual machine and network configuration
The primary components required for creating a Lambda function include the actual function code and a handler that specifies the entry point for the function.

What is the primary role of deployment packages in AWS Lambda function creation?

  • Bundling code and dependencies
  • Configuring networking
  • Generating logs
  • Managing server resources
Deployment packages in AWS Lambda serve the primary role of bundling the function code along with any dependencies required for execution.

How does AWS Lambda handle the execution environment for your function?

  • It delegates execution environment management to users
  • It manages the execution environment automatically
  • It requires manual configuration of execution environment
  • It restricts access to the execution environment
AWS Lambda automatically manages the execution environment for your function, including provisioning resources and scaling based on demand.

What role do environment variables play in AWS Lambda function development?

  • Controlling network access
  • Defining function behavior
  • Managing compute resources
  • Storing configuration settings
Environment variables in AWS Lambda are commonly used for storing configuration settings such as API keys, database connection strings, and other parameters necessary for the function's operation.

How does IAM role and permissions affect the behavior of an AWS Lambda function?

  • Define the function's runtime environment
  • Determine what AWS services the function can access
  • Manage the function's memory allocation
  • Specify the function's timeout duration
IAM roles and permissions determine the AWS services and resources that the Lambda function can access, ensuring appropriate access controls and security.

What are some common methods for handling dependencies in AWS Lambda functions?

  • Installing dependencies at runtime
  • Packaging dependencies with the function code
  • Sharing dependencies across multiple functions
  • Storing dependencies in a separate S3 bucket
One common method for handling dependencies in AWS Lambda functions is to package them along with the function code, typically using tools like AWS SAM or AWS CLI.

How can you test the functionality of an AWS Lambda function before deploying it?

  • Deploying directly to production
  • Locally using a testing framework
  • Manual testing in production
  • Testing only after deployment
AWS Lambda functions can be tested locally using testing frameworks like AWS SAM or the Serverless Framework, allowing developers to simulate events and verify functionality before deployment.

Performance optimization of AWS Lambda functions involves adjusting parameters such as __________ to achieve the desired balance of resources and cost.

  • Billing address
  • Encryption settings
  • Memory allocation
  • Timeout duration
Adjusting the memory allocation for AWS Lambda functions can significantly impact performance and cost, as it determines the amount of CPU and other resources allocated to the function.

Scenario: You're developing a serverless application where Lambda functions need access to resources in an Amazon VPC. How would you configure the Lambda functions to achieve this?

  • Configure the Lambda function to run inside a VPC
  • Enable AWS Direct Connect
  • Grant IAM roles to Lambda functions
  • Use VPC endpoints
By configuring the Lambda function to run inside a VPC, you can provide it with access to resources within that VPC, such as EC2 instances or RDS databases.

Scenario: Your team needs to deploy a Lambda function that processes data uploaded to an S3 bucket. What steps would you take to ensure the Lambda function has the necessary permissions?

  • Attach an S3 bucket policy to the Lambda function
  • Configure S3 ACLs
  • Create an IAM role with permissions to access the S3 bucket
  • Use AWS Security Groups
By creating an IAM role with the necessary permissions to access the specified S3 bucket, you can assign this role to the Lambda function, ensuring it has the required permissions.