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.
What is the maximum payload size limit for synchronous invocation of Lambda functions?
- 1 GB
- 10 KB
- 500 MB
- 6 MB
The maximum payload size limit for synchronous invocation of Lambda functions is 6 MB, allowing you to send data within this size constraint when invoking functions synchronously.
How can you monitor and manage Lambda limits and quotas in a production environment?
- Contact AWS Support for updates
- Ignore limits and quotas
- Manually track usage in spreadsheets
- Utilize AWS CloudWatch metrics and alarms
Utilize AWS CloudWatch metrics and alarms to monitor Lambda usage and set up alerts for approaching or exceeding limits.
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.
Scenario: You're planning to migrate an existing application to serverless using AWS Lambda. What considerations would you take into account regarding Lambda's limits and quotas?
- Estimate function resource requirements
- Ignore Lambda limits
- Increase Lambda function memory
- Limit Lambda function invocations
Estimating resource requirements helps in avoiding resource contention and staying within Lambda's limits, ensuring optimal performance.
What are the primary components required for creating a Lambda function?
- Database and storage setup
- Function code and handler
- Operating system and kernel
- Virtual machine and network configuration
The primary components required for creating a Lambda function include the actual function code and a handler that specifies the entry point for the function.
What is the primary role of deployment packages in AWS Lambda function creation?
- Bundling code and dependencies
- Configuring networking
- Generating logs
- Managing server resources
Deployment packages in AWS Lambda serve the primary role of bundling the function code along with any dependencies required for execution.