How can you delegate permissions in AWS IAM?
- By configuring networking rules
- By creating IAM roles and assigning them to trusted entities
- By granting direct access to AWS services
- By sharing IAM user credentials
Delegating permissions in AWS IAM involves creating IAM roles with the necessary permissions and then assigning those roles to trusted entities such as AWS services, applications, or other AWS accounts.
IAM allows you to grant temporary __________ to users, groups, or roles.
- Credentials
- Permissions
- Policies
- Resources
IAM allows you to grant temporary credentials to users, groups, or roles, enabling them to access AWS resources for a limited time.
Scenario: You need to provide AWS Lambda functions access to specific S3 buckets. How would you configure IAM roles to achieve this securely?
- Allow public access to S3 buckets
- Create an IAM role with a policy granting access to the required S3 buckets, and attach this role to the AWS Lambda functions.
- Share AWS access keys with Lambda functions
- Use a single IAM user for all Lambda functions
Creating an IAM role with a policy granting access to the required S3 buckets, and attaching this role to the AWS Lambda functions is the correct and secure approach.
Scenario: Your organization follows the principle of least privilege. How would you design IAM policies to adhere to this principle effectively?
- Grant IAM users and roles only the permissions they need to perform their tasks, using the principle of least privilege.
- Grant administrative access to all IAM users and roles
- Grant all permissions to all IAM users and roles
- Share IAM access keys with all users
Designing IAM policies to grant IAM users and roles only the permissions they need to perform their tasks adheres to the principle of least privilege effectively.
Scenario: You are managing a large AWS environment with multiple teams. How would you implement IAM best practices to ensure secure access management across the organization?
- Grant all permissions to all IAM users
- Implement IAM roles with appropriate permissions for each team's specific responsibilities and enforce the use of IAM groups to manage user access efficiently.
- Share IAM user credentials across teams
- Use a single IAM role for all teams
Implementing IAM roles with appropriate permissions for each team's specific responsibilities and enforcing the use of IAM groups to manage user access efficiently is a best practice for ensuring secure access management across the organization.
What are dependencies in the context of AWS Lambda?
- AWS services used by a Lambda function
- Environment variables in a Lambda function
- External libraries or modules required by a Lambda function
- Internal functions within a Lambda function
Dependencies in the context of AWS Lambda refer to external libraries or modules that a Lambda function relies on to perform its tasks.
How are dependencies typically managed in an AWS Lambda function?
- Manually copying files into the Lambda environment
- Relying on AWS to automatically install dependencies
- Uploading dependencies as part of the Lambda function code
- Using package managers like npm or pip
Dependencies in an AWS Lambda function are typically managed using package managers such as npm for Node.js or pip for Python.
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.
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.
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.