Can environment variables be dynamically changed during the execution of an AWS Lambda function?
- It depends on the programming language used
- No
- Only if the function is invoked asynchronously
- Yes
No, environment variables in AWS Lambda cannot be dynamically changed during execution; they are set when the function is deployed and remain constant throughout its execution.
What are some best practices for managing environment variables in AWS Lambda?
- Hardcode values directly into the function code
- Share environment variables among Lambda functions through global variables
- Store environment variables in plaintext files on the Lambda instance
- Use AWS Secrets Manager or AWS Systems Manager Parameter Store
Best practices for managing environment variables in AWS Lambda include using AWS Secrets Manager or AWS Systems Manager Parameter Store to store sensitive data securely.
How can you update environment variables for a deployed AWS Lambda function?
- Programmatically using SDKs
- Through direct SSH access
- Using the AWS Management Console
- Via AWS CLI
Environment variables for a deployed AWS Lambda function can be updated using the AWS Management Console by navigating to the function's configuration and modifying the environment variables section.
Scenario: During the execution of an AWS Lambda function, you need to dynamically adjust certain parameters based on incoming data. How would you approach this using environment variables?
- Store adjustable parameters in a plaintext configuration file
- Use AWS CloudWatch Events to trigger parameter updates
- Use AWS Step Functions to dynamically adjust parameters
- Use environment variables to store adjustable parameters
Leveraging environment variables to store adjustable parameters allows you to dynamically adjust certain parameters during the execution of a Lambda function based on incoming data, providing flexibility and scalability.
Scenario: Your team is working on a project that involves deploying multiple AWS Lambda functions across different environments. How would you manage environment-specific configuration settings?
- Embed environment-specific settings directly in the Lambda function code
- Store configuration settings in separate plaintext files for each environment
- Use AWS Systems Manager Parameter Store
- Use environment variables to pass configuration settings
Leveraging AWS Systems Manager Parameter Store enables you to centrally manage environment-specific configuration settings and retrieve them securely in your Lambda functions, regardless of the environment they are deployed in.
Scenario: You need to deploy an AWS Lambda function that requires access to an external API key. How would you securely store this API key?
- Hardcode the API key in the Lambda function code
- Pass the API key as an environment variable
- Store the API key in a plaintext configuration file
- Use AWS Secrets Manager
Using AWS Secrets Manager to securely store and manage the API key ensures that it is protected and can be accessed by the Lambda function when needed.
Dynamic configuration changes during execution of AWS Lambda functions can be achieved through the use of ________.
- AWS CloudWatch
- AWS IAM
- AWS Lambda Layers
- Parameter Store
AWS Systems Manager Parameter Store allows you to centrally manage configuration data and secrets, which can be dynamically accessed by AWS Lambda functions during execution.
When managing environment variables in AWS Lambda, it's essential to implement ________ to ensure security.
- Encryption
- Load balancing
- Role-based access control
- Version control
Implementing encryption mechanisms helps ensure that sensitive environment variable data remains secure during storage and transmission.
In AWS Lambda, environment variables can be updated using the ________ service.
- AWS CLI
- AWS CloudFormation
- AWS Management Console
- AWS SDK
Environment variables in AWS Lambda can be updated using the AWS Management Console, providing a user-friendly interface for configuration.
AWS Lambda provides a secure way to store and access sensitive information through the use of __________.
- AWS DynamoDB
- AWS IAM
- AWS S3
- AWS Secrets Manager
AWS Lambda can securely access sensitive information stored in AWS Secrets Manager, such as database credentials or API keys.
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.
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.