What is the maximum number of environment variables that can be set for an AWS Lambda function?
- 1024
- 256
- 512
- Unlimited
AWS Lambda allows a maximum of 1024 environment variables to be set for a function, providing ample flexibility for configuration and customization.
How can you access environment variables within an AWS Lambda function?
- By making API calls
- Hardcoding in the function code
- Using the process environment object
- Via AWS Management Console
Environment variables within an AWS Lambda function can be accessed using the process environment object, which provides access to variables set at runtime.
What happens if an environment variable is not set for an AWS Lambda function?
- AWS Lambda automatically assigns a default value
- AWS Lambda generates a warning
- The function is paused
- The function may not behave as expected
If a required environment variable is not set for an AWS Lambda function, the function may not behave as expected, leading to errors or unexpected behavior during execution.
How are environment variables typically configured in AWS Lambda?
- Hardcoding in the function code
- Through the AWS Management Console
- Using command-line tools
- Via API calls
Environment variables in AWS Lambda can be configured through the AWS Management Console, providing a user-friendly interface for setting key-value pairs.
What are environment variables commonly used for in AWS Lambda?
- Controlling network traffic
- Defining function behavior
- Managing storage
- Storing configuration values
Environment variables in AWS Lambda are often used to store configuration values, such as API keys, database connection strings, or feature flags.
Scenario: You need to deploy a new version of an AWS Lambda function without disrupting the existing production environment. What steps would you take to ensure a seamless deployment process?
- Implement blue-green deployment
- Pause incoming events during deployment
- Rely on manual testing only
- Use AWS Lambda aliases
Implementing blue-green deployment involves running two identical production environments (blue and green) and switching traffic between them, allowing for zero-downtime deployments and seamless rollback if issues arise.
Scenario: Your team is migrating an existing application to AWS Lambda. How would you approach the creation and management of deployment packages to ensure smooth deployment and updates?
- Implement CI/CD pipelines
- Manually package functions
- Skip testing in staging environment
- Use AWS SAM (Serverless Application Model)
Implementing CI/CD pipelines automates the process of building, testing, and deploying Lambda functions, ensuring smooth deployment and updates with minimal manual intervention.
Scenario: You have a large AWS Lambda function with several external dependencies. What strategies would you employ to optimize the deployment package size and improve performance?
- Increase memory allocation
- Split the function into smaller functions
- Use Lambda Layers
- Utilize native AWS services
Using Lambda Layers allows you to package and manage libraries separately from your function code, reducing the size of the deployment package and improving performance by enabling code reuse.
Proper management of dependencies in deployment packages can enhance __________ and simplify maintenance of AWS Lambda functions.
- Availability and Reliability
- Cost Optimization
- Performance and Scalability
- Security and Compliance
Proper management of dependencies can enhance the performance and scalability of AWS Lambda functions by reducing the size of deployment packages and optimizing execution.
To include external dependencies in an AWS Lambda deployment package, you can use __________ or package managers like npm for Node.js functions.
- build automation tools
- dependency injection
- virtual environments
- zip archives
Zip archives are commonly used to package AWS Lambda deployment packages, allowing you to include external dependencies.
The process of setting environment variables for an AWS Lambda function is typically done during __________.
- Function configuration
- Function deployment
- Function execution
- Function invocation
Setting environment variables for an AWS Lambda function is part of its configuration process, allowing you to customize its behavior.
Environment variables in AWS Lambda are commonly used to store configuration settings such as __________.
- API keys
- Encryption keys
- Lambda function code
- Source code
Environment variables in AWS Lambda are often used to store sensitive information like API keys, database credentials, or other configuration settings.