What are some examples of scenarios where using a custom runtime in AWS Lambda might be beneficial?
- Framework compatibility
- Language support
- Legacy system integration
- Performance optimization
Using a custom runtime in AWS Lambda might be beneficial when you need to support programming languages that are not natively supported by AWS Lambda.
Custom runtimes allow developers to use __________ languages or language versions in AWS Lambda.
- AWS-approved
- Any
- Only compiled
- Only interpreted
Custom runtimes allow developers to use any languages or language versions in AWS Lambda, providing flexibility beyond the supported runtimes.
When creating a custom runtime, you need to provide a bootstrap file that handles __________ between the Lambda service and your runtime.
- Communication
- Data encryption
- File management
- Resource allocation
The bootstrap file in a custom runtime handles communication between the Lambda service and your runtime, facilitating the execution of Lambda functions.
AWS Lambda enforces a __________ for custom runtimes to ensure security and stability.
- Execution policy
- Hardware specification
- Runtime API
- Scripting language
AWS Lambda enforces a Runtime API for custom runtimes to ensure security and stability.
Scenario: Your team is developing a new programming language optimized for specific computational tasks. How would you integrate this language as a custom runtime in AWS Lambda?
- Create a Lambda layer with the language runtime
- Deploy the language runtime as a standalone service
- Embed the language runtime directly into the function code
- Use an existing natively supported runtime and adapt it
Creating a Lambda layer with the language runtime allows for reusability across multiple functions and simplifies maintenance.
Scenario: You need to ensure compliance with strict security requirements for your AWS Lambda functions, including custom runtime environments. How would you implement security controls and best practices?
- Enable AWS CloudTrail logging for Lambda function activity
- Encrypt environment variables containing sensitive data
- Implement least privilege IAM roles for Lambda functions
- Utilize AWS WAF to filter incoming requests
Implementing least privilege IAM roles for Lambda functions helps restrict access and reduce the attack surface, contributing to compliance with strict security requirements.
What is Lambda@Edge?
- AWS service for running code closer to end-users
- Container service
- Database service
- Machine learning service
Lambda@Edge is an AWS service that allows you to run code closer to end-users, enabling you to customize content delivery and enhance user experience.
What is the primary purpose of Lambda@Edge?
- Analyzing data
- Customizing content delivery and enhancing user experience
- Managing databases
- Securing network traffic
The primary purpose of Lambda@Edge is to enable customization of content delivery and enhance user experience by running code closer to end-users.
Lambda@Edge enables you to customize content delivery based on the viewer's __________.
- Browser
- Location
- Operating system
- Time zone
Lambda@Edge enables you to customize content delivery based on the viewer's geographic location, enabling personalized experiences.
The deployment of Lambda@Edge functions is managed through AWS __________.
- CloudFront
- Elastic Beanstalk
- IAM
- Route 53
The deployment of Lambda@Edge functions is managed through AWS CloudFront, which integrates with Lambda@Edge to execute functions at edge locations.