AWS Lambda supports runtimes such as __________, __________, and __________.
- C++, Ruby, PHP
- Go, Rust, Swift
- PowerShell, TypeScript, Perl
- Python, Node.js, Java
AWS Lambda supports various runtimes including Python, Node.js, and Java, allowing developers to write functions in their preferred programming language.
The choice of runtime determines the __________ available for development and deployment of Lambda functions.
- Cloud provider
- Cost structure
- Libraries and frameworks
- Network bandwidth
The choice of runtime in AWS Lambda determines the libraries, frameworks, and language features available for development and deployment of Lambda functions.
AWS Lambda automatically handles runtime __________, freeing developers from infrastructure management tasks.
- Code optimization
- Database management
- Provisioning and scaling
- Security configuration
AWS Lambda automatically handles runtime provisioning and scaling, ensuring that resources are allocated as needed to handle incoming events.
Custom runtimes in AWS Lambda allow developers to use ________ languages not officially supported by AWS.
- Custom
- Non-standard
- Third-party
- Unconventional
Custom runtimes in AWS Lambda enable the use of non-standard languages, extending the platform's flexibility beyond officially supported ones.
Upgrading to a newer version of a runtime in AWS Lambda may introduce ________ and compatibility issues.
- Breakages
- Bugs
- Errors
- Incompatibilities
Upgrading to a newer runtime version in AWS Lambda may introduce breakages and compatibility issues, necessitating thorough testing before deployment.
Scenario: You need to develop a machine learning model using AWS Lambda. Which runtime option would you choose and why?
- Go runtime
- Java runtime
- Node.js runtime
- Python with TensorFlow runtime
Python with TensorFlow runtime is a suitable choice for developing machine learning models on AWS Lambda, as it provides the necessary libraries and frameworks for training and inference tasks.
Which of the following programming languages is NOT supported as a runtime for AWS Lambda?
- COBOL
- Java
- Python
- Ruby
COBOL is not supported as a runtime for AWS Lambda. AWS Lambda primarily supports modern programming languages like Python, Node.js, Java, and others.
What is the significance of choosing a specific runtime for an AWS Lambda function?
- Determines the event source for the function
- Determines the execution environment for the function
- Determines the programming language the function can use
- Determines the region where the function will run
Choosing a specific runtime for an AWS Lambda function determines the programming language you can use to write the function. Each runtime supports different languages.
How does the choice of runtime affect the performance of an AWS Lambda function?
- It affects only memory usage
- It has no effect on performance
- It impacts startup time and execution speed
- It only affects security
The choice of runtime in AWS Lambda affects the performance by influencing factors such as startup time and the speed of executing functions.
What types of events can trigger AWS Lambda functions through Amazon API Gateway?
- Database queries
- Email notifications
- File uploads
- HTTP requests
AWS Lambda functions can be triggered by HTTP requests routed through Amazon API Gateway, allowing for serverless APIs.