Environment variables in AWS Lambda can be utilized to configure settings such as __________.
- API endpoints
- Billing details
- Code syntax
- Encryption keys
Environment variables in AWS Lambda can be utilized to configure settings such as API endpoints, allowing for flexibility in the function's behavior.
To ensure security and access control, AWS Lambda functions are associated with __________ that define their permissions.
- API keys
- IAM roles
- SSH keys
- SSL certificates
AWS Lambda functions are associated with IAM roles that define their permissions, ensuring security and access control based on defined policies.
AWS Lambda functions can be tested locally using tools such as __________.
- AWS SAM (Serverless Application Model)
- Docker
- JIRA
- Postman
AWS SAM (Serverless Application Model) is a framework for building serverless applications and simplifies the process of locally testing AWS Lambda functions.
Integration with API Gateway allows AWS Lambda functions to be exposed as __________ endpoints.
- RESTful
- SOAP
- WebSocket
- gRPC
API Gateway enables you to create RESTful APIs, and AWS Lambda functions can be integrated with API Gateway to serve as endpoints for these APIs.
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.
How can you optimize the size of a deployment package for an AWS Lambda function?
- Enable verbose logging, Include comprehensive documentation, Add encryption keys
- Increase dependencies, Use a larger runtime, Include all available libraries
- Minimize dependencies, Use a smaller runtime, Remove unused code and libraries
- Minimize memory allocation, Include large data files, Add debugging information
To optimize the size of a deployment package for an AWS Lambda function, minimize dependencies, use a smaller runtime, and remove unused code and libraries.
What is the role of AWS SAM (Serverless Application Model) in managing deployment packages?
- AWS SAM automates manual deployment processes
- AWS SAM increases the complexity of managing serverless applications
- AWS SAM replaces AWS Lambda in managing serverless applications
- AWS SAM simplifies defining and deploying serverless applications
The role of AWS SAM (Serverless Application Model) in managing deployment packages is to simplify defining and deploying serverless applications by providing a declarative way to define resources and configurations.
How does AWS Lambda handle updates to deployment packages?
- Immutable updates
- In-place updates
- Manual updates
- Versioned updates
AWS Lambda supports in-place updates, where the new deployment package replaces the previous one without creating a new version or alias.