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.
What is the recommended format for packaging dependencies with AWS Lambda functions?
- Embedding dependencies within the function code directly
- Hosting dependencies on external servers
- Installing dependencies globally on the Lambda environment
- Using a deployment package with bundled dependencies
The recommended format for packaging dependencies with AWS Lambda functions involves bundling dependencies within the deployment package, ensuring all required libraries are included for execution.
What are some common tools used for creating deployment packages for AWS Lambda functions?
- AWS CLI, AWS Toolkit for Visual Studio, AWS CloudFormation
- AWS ECS, AWS CodeCommit, AWS CodePipeline
- AWS Elastic Beanstalk, AWS Redshift, AWS Step Functions
- AWS IAM, AWS S3, AWS RDS
The AWS CLI, AWS Toolkit for Visual Studio, and AWS CloudFormation are common tools used for creating deployment packages for AWS Lambda functions.
In AWS Lambda, you can leverage __________ to create layers containing shared libraries, custom runtimes, or other dependencies.
- AWS CLI (Command Line Interface)
- AWS Lambda Console
- AWS SAM (Serverless Application Model)
- AWS SDK (Software Development Kit)
AWS SAM (Serverless Application Model)