How does AWS Lambda deployment packaging affect dependency management?
- It has no effect on performance
- It impacts cold start times
- It improves scalability
- It simplifies security
AWS Lambda deployment packaging directly affects dependency management by influencing cold start times; larger packages can lead to longer cold start times due to increased initialization overhead.
Dependency management tools such as __________ can be used to automate the installation of required libraries for AWS Lambda functions.
- Composer
- Maven
- npm
- pip
Pip is a package installer for Python, commonly used for managing dependencies in AWS Lambda functions developed using Python.
Version __________ is crucial when specifying dependencies to ensure compatibility and stability in AWS Lambda environments.
- bundling
- freezing
- locking
- pinning
Version pinning involves specifying exact versions of dependencies to ensure consistent behavior in AWS Lambda environments.
__________ defines the maximum permissions an IAM policy can grant.
- Permissions boundary
- Policy document
- Resource policy
- Role
The permissions boundary defines the maximum permissions an IAM policy can grant, helping to control and limit the scope of permissions assigned to entities.
AWS Lambda functions can include __________ dependencies that are required for their execution.
- build-time
- compile-time
- design-time
- runtime
Runtime dependencies are libraries or packages required for the execution of AWS Lambda functions, such as Python libraries or Node.js modules.
__________ is a technique used to package only necessary dependencies to minimize the size of deployment packages in AWS Lambda.
- Containerization
- Dependency management
- Dynamic linking
- Tree shaking
Tree shaking is a technique used to package only necessary dependencies to minimize the size of deployment packages in AWS Lambda.
When dealing with complex dependencies, it's advisable to utilize __________ to manage version conflicts and ensure consistency.
- Continuous integration
- Dependency management tools
- Parallel computing
- Static analysis
Dependency management tools such as npm and pip can help manage version conflicts and ensure consistency when dealing with complex dependencies in AWS Lambda.
In AWS Lambda, __________ can be used to precompile dependencies to improve cold start performance and reduce execution time.
- Containerization
- Layers
- Snapshots
- Triggers
In AWS Lambda, layers can be used to precompile dependencies to improve cold start performance and reduce execution time.
How can you test AWS Lambda functions locally?
- Using AWS CloudFormation
- Using AWS CodeDeploy
- Using Amazon S3
- Using local development environments
Local development environments allow developers to test AWS Lambda functions on their own machines before deploying them to the cloud, ensuring functionality and identifying issues early in the development process.
Which service can you use to simulate event triggers for testing AWS Lambda functions?
- AWS Lambda Console
- AWS SAM Local
- AWS Step Functions
- Amazon EventBridge
AWS SAM Local is a tool for local development and testing of serverless applications, including simulating event triggers for AWS Lambda functions.