What is the purpose of IAM policies attached to IAM users or groups?
- To define permissions for accessing AWS resources
- To define user authentication methods
- To manage billing information
- To manage network configurations
IAM policies attached to IAM users or groups are used to define the permissions that users or groups have for accessing AWS resources, specifying allowed actions and resources.
What is the least privilege principle in IAM?
- Giving users all available permissions
- Giving users only the permissions they need
- Giving users permissions based on their job titles
- Giving users temporary permissions
The least privilege principle in IAM involves granting users or roles only the permissions they need to perform their tasks, reducing the risk of excessive access.
How do you grant permissions to an IAM role?
- By attaching IAM policies
- By configuring network settings
- By creating new IAM users
- By installing third-party software
Permissions in IAM roles are granted by attaching IAM policies, which define the actions that can be performed and the resources that can be accessed.
How are IAM roles different from IAM users?
- IAM roles are meant for temporary access
- IAM roles are only used for authentication
- IAM roles are specific to AWS services
- IAM roles cannot have policies attached
IAM roles in AWS are intended for temporary access by entities such as EC2 instances or AWS services, while IAM users are typically for long-term access by humans or applications.
What are the fundamental components of an IAM policy?
- Functions, Variables, Conditions
- Regions, Availability Zones, Endpoints
- Statements, Effects, Resources
- Users, Groups, Roles
IAM policies consist of statements that define the permissions, effects that determine whether the permissions are allowed or denied, and resources to which the policy applies.
What is the primary purpose of IAM roles in AWS?
- Authenticating users
- Delegating permissions
- Managing billing
- Storing data
IAM roles in AWS are used to delegate permissions to entities such as AWS services, EC2 instances, or applications, without the need for long-term credentials.
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.
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.
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.
What are some best practices for handling dependencies in a serverless environment?
- Ignore dependency management
- Include all available libraries
- Rely solely on external services
- Use lightweight libraries
Best practices for handling dependencies in a serverless environment include using lightweight libraries and minimizing the number of dependencies to reduce package size and improve performance.
How can you optimize dependency management to improve the performance of AWS Lambda functions?
- Include unnecessary dependencies
- Increase package size
- Minimize package size
- Use outdated dependencies
Optimizing dependency management in AWS Lambda involves minimizing the size of your deployment packages to reduce cold start times and improve overall performance.
Why is handling dependencies important in serverless applications?
- Ensures consistent behavior across function executions
- Improves the scalability of serverless functions
- Increases the cost of running serverless functions
- Reduces the need for monitoring and debugging
Properly managing dependencies in serverless applications helps ensure that the functions behave consistently across different executions, reducing the risk of errors.