What happens if a Lambda function exceeds its concurrent execution limit?
- Additional invocations are throttled
- The function automatically scales up to accommodate the load
- The function is paused until resources become available
- The function is terminated
If a Lambda function exceeds its concurrent execution limit, additional invocations beyond the limit are throttled, preventing them from executing until resources become available.
What is the default maximum execution time limit for an AWS Lambda function?
- 1 minute
- 15 minutes
- 30 seconds
- 5 hours
The default maximum execution time limit for an AWS Lambda function is 15 minutes, meaning a function will be terminated if it runs for longer than this duration.
How can you request an increase in the default limits for AWS Lambda?
- By editing Lambda function code
- Through the AWS Management Console
- Using the AWS CLI
- Via email to AWS support
You can request an increase in the default limits for AWS Lambda by using the AWS Management Console, where you can submit a service limit increase request.
To ensure high availability and fault tolerance, AWS Lambda automatically scales the execution ________.
- Horizontally
- Manually
- Statically
- Vertically
AWS Lambda automatically scales the execution horizontally, meaning it adds more instances to handle increased load.
AWS Trusted Advisor can provide recommendations on optimizing Lambda usage based on ________.
- Cost only
- Performance only
- Performance, cost, security, and fault tolerance
- Security only
AWS Trusted Advisor can analyze various aspects of Lambda usage, including performance, cost, security, and fault tolerance, to provide recommendations for optimization.
What role do environment variables play in AWS Lambda function development?
- Controlling network access
- Defining function behavior
- Managing compute resources
- Storing configuration settings
Environment variables in AWS Lambda are commonly used for storing configuration settings such as API keys, database connection strings, and other parameters necessary for the function's operation.
How does IAM role and permissions affect the behavior of an AWS Lambda function?
- Define the function's runtime environment
- Determine what AWS services the function can access
- Manage the function's memory allocation
- Specify the function's timeout duration
IAM roles and permissions determine the AWS services and resources that the Lambda function can access, ensuring appropriate access controls and security.
What are some common methods for handling dependencies in AWS Lambda functions?
- Installing dependencies at runtime
- Packaging dependencies with the function code
- Sharing dependencies across multiple functions
- Storing dependencies in a separate S3 bucket
One common method for handling dependencies in AWS Lambda functions is to package them along with the function code, typically using tools like AWS SAM or AWS CLI.
How can you test the functionality of an AWS Lambda function before deploying it?
- Deploying directly to production
- Locally using a testing framework
- Manual testing in production
- Testing only after deployment
AWS Lambda functions can be tested locally using testing frameworks like AWS SAM or the Serverless Framework, allowing developers to simulate events and verify functionality before deployment.
Scenario: Your team is developing a real-time data processing application using AWS Lambda. How would you design the architecture to accommodate Lambda's concurrency limits?
- Configure Amazon SQS as an event source
- Implement event-driven architecture
- Increase Lambda function memory
- Provision additional AWS Lambda functions
Implementing an event-driven architecture allows AWS Lambda to scale automatically, mitigating the impact of concurrency limits by dynamically allocating resources based on incoming events.