Scenario: Your team needs to design a solution where incoming messages from an Amazon SQS queue should trigger AWS Lambda functions to process the data. Which AWS service would you use to accomplish this integration?
- Amazon EC2 Autoscaling
- Amazon RDS Instances
- Amazon S3 Buckets
- Amazon SQS Triggers
Amazon SQS can directly trigger AWS Lambda functions, allowing you to process incoming messages from the queue efficiently.
What types of limits and quotas are associated with AWS Lambda?
- CPU utilization and disk I/O
- Concurrent executions, invocation payload size, execution duration, and memory allocation
- Network bandwidth, storage capacity, and API calls
- Operating system licenses and software installations
AWS Lambda has various limits and quotas, including limits on concurrent executions, invocation payload size, execution duration, and memory allocation.
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.
What strategies can be employed to optimize Lambda usage within the imposed limits?
- Ignore imposed limits
- Implement efficient code practices and minimize dependencies
- Increase memory allocation for all functions
- Rely solely on auto-scaling
Implement efficient code practices and minimize dependencies to optimize Lambda usage within the imposed limits.
What are some potential challenges when working with Lambda limits and quotas in complex serverless architectures?
- Coordination of multiple functions and services
- Lack of integration with other AWS services
- Limited programming languages support
- Static scaling limitations
In complex serverless architectures, coordination of multiple functions and services can present challenges in managing Lambda limits and quotas.
AWS Lambda has a default limit of _________ concurrent executions per region.
- 100
- 1000
- 500
- 5000
AWS Lambda has a default limit of 1000 concurrent executions per region, meaning that at any given time, it can run up to 1000 instances of your function simultaneously.