How does AWS Lambda handle events from Amazon S3 buckets?
- By deleting events from Amazon S3
- By ignoring events from Amazon S3
- By invoking functions in response to bucket events
- By pausing functions in response to Amazon S3 events
AWS Lambda can be configured to execute functions in response to events in Amazon S3 buckets, such as object creation, deletion, or modification.
What types of events can trigger AWS Lambda functions through Amazon API Gateway?
- Database queries
- Email notifications
- File uploads
- HTTP requests
AWS Lambda functions can be triggered by HTTP requests routed through Amazon API Gateway, allowing for serverless APIs.
How does AWS Lambda process events from Amazon DynamoDB streams?
- Asynchronously
- In batches
- Manually
- Synchronously
AWS Lambda processes events from Amazon DynamoDB streams asynchronously, allowing for real-time processing of changes to DynamoDB tables.
In what scenarios would you use AWS Lambda to process events from Amazon SNS?
- Implementing event-driven architectures
- Managing networking
- Running batch jobs
- Storing data
AWS Lambda is commonly used with Amazon SNS to implement event-driven architectures, reacting to messages published to SNS topics.
How does AWS Lambda handle events from CloudWatch Events?
- CloudWatch Events cannot trigger Lambda functions
- CloudWatch Events invokes Lambda functions asynchronously
- CloudWatch Events invokes Lambda functions directly
- CloudWatch Events triggers Lambda functions synchronously
CloudWatch Events invokes Lambda functions asynchronously, allowing you to respond to events such as scheduled tasks, AWS API activity, or custom events.
What are some custom event sources that can trigger AWS Lambda functions?
- AWS Lambda can only be triggered by built-in AWS services
- AWS Lambda does not support custom event sources
- Amazon EC2, Amazon RDS, Amazon SQS
- Amazon S3, Amazon SNS, Amazon DynamoDB
These are some of the custom event sources that can trigger AWS Lambda functions. For example, changes to objects in an S3 bucket, messages published to an SNS topic, or updates to DynamoDB tables can all trigger Lambda functions.
The flexibility of custom runtimes enables fine-tuning of ________ and dependencies for specific use cases.
- Performance
- Resource usage
- Scalability
- Security
Custom runtimes in AWS Lambda allow for fine-tuning of performance-related parameters and dependencies, optimizing functions for specific use cases.
Scenario: Your team is considering migrating existing applications to AWS Lambda. How would you evaluate the compatibility of the current runtimes with AWS Lambda?
- Conduct compatibility tests with existing codebase
- Consult AWS Lambda experts
- Review AWS Lambda documentation and runtime support
- Trial migration with a sample application
Reviewing AWS Lambda documentation and runtime support is crucial to understanding which runtimes are officially supported and compatible with AWS Lambda.
Scenario: A project requires integration with a third-party library not supported by default AWS Lambda runtimes. How would you approach this challenge using custom runtimes?
- Create a custom runtime with the necessary dependencies
- Explore alternative AWS services for integration
- Rewrite the functionality without the third-party library
- Use AWS Lambda layers for library integration
Creating a custom runtime allows you to include the required third-party library dependencies, enabling integration with AWS Lambda.
What are AWS Lambda event sources?
- Only Amazon EC2 instances
- Only Amazon RDS databases
- Only Amazon S3 buckets
- Various AWS services and custom applications
AWS Lambda can be triggered by events from various AWS services like Amazon S3, Amazon DynamoDB, Amazon Kinesis, etc., as well as custom applications.