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.
Scenario: You're tasked with optimizing the performance of an existing Lambda function that interacts with a DynamoDB table. What strategies would you employ to improve its efficiency?
- Batch multiple DynamoDB operations
- Enable DynamoDB Accelerator (DAX)
- Implement DynamoDB Streams
- Increase the provisioned concurrency
DynamoDB Accelerator (DAX) is an in-memory caching service that can significantly improve the read performance of DynamoDB tables accessed by Lambda functions.
What is a deployment package in AWS Lambda?
- A relational database
- A virtual machine instance
- A zip archive containing your function code and any dependencies
- An email server
A deployment package in AWS Lambda is typically a zip archive that includes your function code along with any dependencies required for execution.
How does AWS Lambda handle deployment of functions?
- Automatically upon function creation or update
- By scheduling deployments at specific times
- Manually by the user
- Through third-party tools only
AWS Lambda automatically handles the deployment of functions whenever they are created or updated, ensuring the latest code is available for execution.