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.
Scenario: You are tasked with setting up an architecture where changes to items in an Amazon DynamoDB table should trigger AWS Lambda functions to update corresponding records in an Amazon RDS database. What steps would you take to implement this solution?
- Use Amazon EC2 Instances
- Use Amazon S3 Event Notifications
- Use DynamoDB Streams
- Use DynamoDB Triggers
DynamoDB Streams can capture changes to items in a table and trigger AWS Lambda functions, allowing you to update corresponding records in RDS.
How do Lambda limits and quotas affect the scalability of serverless applications?
- They can impact the ability to handle sudden spikes in traffic
- They have no effect on scalability
- They improve scalability by optimizing resource utilization
- They only affect cost, not scalability
Lambda limits and quotas, such as concurrent executions, can impact the ability of serverless applications to handle sudden spikes in traffic, potentially leading to throttling or failed invocations during peak loads.
Lambda functions invoked synchronously have a payload size limit of ________.
- 10 MB
- 2 MB
- 6 MB
- 8 MB
Lambda functions invoked synchronously have a payload size limit of 6 MB. This includes both the event object and the response object.
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.