How do Lambda Layers impact the deployment time and performance of AWS Lambda functions?
- They always increase deployment time and degrade performance
- They can decrease deployment time and improve performance
- They have no impact on deployment time and performance
- They only impact deployment time
Lambda Layers can decrease deployment time by reducing the size of deployment packages and improve performance by enabling code reuse across multiple functions.
AWS Lambda allows for __________, such as database connections or SDK clients, to be reused across multiple invocations of a function.
- Cold starts
- Environment variables
- Event triggers
- Execution contexts
Execution contexts in AWS Lambda can be reused across multiple invocations, allowing for efficient reuse of resources such as database connections or SDK clients.
Lambda Layers can be shared across multiple __________ to promote code reuse and maintainability.
- Containers
- Databases
- Endpoints
- Functions
Lambda Layers can be shared across multiple functions to promote code reuse and maintainability, reducing duplication and ensuring consistency across applications.
Lambda Layers can be managed and versioned using __________ for better control and tracking.
- AWS CLI
- AWS Management Console
- AWS Marketplace
- AWS SDK
Lambda Layers can be managed and versioned using the AWS Management Console for better control and tracking.
Using Lambda Layers can help in reducing __________ for Lambda function deployment.
- Complexity
- Cost
- Latency
- Redundancy
Using Lambda Layers can help in reducing redundancy for Lambda function deployment.
__________ allows you to define and manage Lambda Layers within the AWS Management Console.
- AWS CLI
- AWS CloudFormation
- AWS Management Console
- AWS SDK
The AWS Management Console allows you to define and manage Lambda Layers within the AWS Management Console.
Lambda Layers can be applied at different __________ of the Lambda function's execution environment.
- Environments
- Layers
- Runtimes
- Triggers
Lambda Layers can be applied at different layers of the Lambda function's execution environment.
Scenario: You are designing a serverless architecture where multiple Lambda functions need to use a common library. How would you implement this using Lambda Layers?
- Create a layer containing the common library and attach it to each Lambda function requiring it
- Embed the library directly into each Lambda function
- Use Amazon S3 to store the library and download it within each function
- Utilize Amazon RDS for storing and accessing the library
By creating a layer containing the common library and associating it with each Lambda function, you ensure that the library is available to all functions without duplication.
What is the primary goal of performance testing?
- To ensure software can handle expected load
- To find bugs in the software
- To improve the UI design
- To validate security features
Performance testing aims to ensure that the software can handle the expected load and perform well under various conditions.
Which factor is NOT typically considered in performance testing?
- Response time
- Scalability
- Stability under load
- User interface aesthetics
Performance testing primarily considers response time, scalability, and stability, not user interface aesthetics.