A microservice must convert large uploaded images to compressed versions. When a user uploads an image through the web interface, the microservice should store the image in an Amazon S3 bucket, compress it with an AWS Lambda function, and store the compressed image in a different S3 bucket. The solution should use durable, stateless components and process images automatically. Which combination of actions meets these requirements? (Choose two.)

The first correct option establishes an event-driven architecture. S3 event notifications can directly publish messages to an SQS queue when new objects are created, ensuring that every upload triggers a processing event. SQS provides a durable, decoupled buffer for these events, which aligns with the stateless and durable component requirements. The second correct option describes how the Lambda function consumes these events. Configuring Lambda to use SQS as an event source allows it to automatically poll the queue, process messages (compress the image), and then delete the message from the queue upon successful completion. This ensures reliable processing and prevents duplicate work. The incorrect options introduce unnecessary complexity, single points of failure, or do not meet the automatic processing requirement. Monitoring S3 directly from Lambda is less robust than SQS-triggered processing. Using an EC2 instance to monitor SQS and invoke Lambda adds an extra, stateful component that is not needed. EventBridge/SNS for alerts is not a processing mechanism.