How do you set up Cross-Account Access using IAM roles?
- Create IAM users
- Enable MFA
- Establish trust relationships between accounts
- Share access keys
To set up Cross-Account Access using IAM roles, you establish trust relationships between the accounts involved, allowing one account to assume roles in the other account.
What are the primary methods for granting Cross-Account Access in AWS?
- Access keys
- Bucket policies
- EC2 instance profiles
- IAM Roles and IAM users
IAM Roles and IAM users are the primary methods for granting Cross-Account Access in AWS.
Monitoring and debugging custom runtimes might require integration with AWS __________ services.
- CloudWatch
- Glacier
- RDS
- S3
Monitoring and debugging custom runtimes in AWS Lambda might require integration with AWS CloudWatch services.
When using a custom runtime, you have full control over the __________ and execution environment of your Lambda functions.
- Infrastructure
- Networking
- Permissions
- Runtime
When using a custom runtime, you have full control over the runtime and execution environment of your Lambda functions.
AWS Lambda provides __________ for building and deploying custom runtimes to simplify the process.
- Documentation
- SDKs
- Templates
- Tooling
AWS Lambda provides tooling for building and deploying custom runtimes, such as the AWS Lambda Runtime Interface Emulator and the AWS Lambda Runtime API, to simplify the process.
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.
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.
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.
What are the considerations when deploying a custom runtime in AWS Lambda?
- Cold start performance
- Compatibility with AWS services
- Cost implications
- Security implications
Considerations for deploying a custom runtime in AWS Lambda include its impact on cold start performance, as custom runtimes may have different initialization times.
How can you create a custom runtime for AWS Lambda?
- Modifying the AWS Lambda source code
- Uploading a custom Docker image
- Using a third-party service
- Using the AWS Lambda Runtime API
Using the AWS Lambda Runtime API allows you to build custom runtimes by implementing a specific interface for handling function invocations, initialization, and cleanup.
What is the primary advantage of using a custom runtime in AWS Lambda?
- Custom runtimes offer better performance and resource optimization compared to standard runtimes in AWS Lambda.
- Custom runtimes provide built-in monitoring and debugging tools for AWS Lambda functions, streamlining development and troubleshooting processes.
- The primary advantage of using a custom runtime is the ability to leverage existing libraries and frameworks in languages not officially supported by AWS Lambda.
- Using a custom runtime in AWS Lambda eliminates the need for managing server infrastructure, reducing operational overhead and costs.
The primary advantage of using a custom runtime is the ability to leverage existing libraries and frameworks in languages not officially supported by AWS Lambda.
How does a custom runtime differ from standard runtimes in AWS Lambda?
- Custom runtimes are only available for enterprise-tier AWS Lambda plans, while standard runtimes are included in all tiers.
- Custom runtimes enable the use of programming languages not officially supported by AWS Lambda, while standard runtimes are limited to a predefined set of languages.
- Custom runtimes offer greater control over the execution environment and configuration options compared to standard runtimes.
- Custom runtimes provide better performance and scalability compared to standard runtimes in AWS Lambda.
Custom runtimes enable the use of programming languages not officially supported by AWS Lambda, expanding the range of languages developers can use.