How does Amazon S3 integrate with AWS Lambda?

Amazon S3 integrates with AWS Lambda primarily by allowing the triggering of Lambda functions in response to specific object events. This integration supports a variety of use cases, such as executing code when new objects are uploaded to an S3 bucket, when objects are deleted, or when object properties are modified. For instance, if an image is uploaded to an S3 bucket, a Lambda function can automatically resize or process that image without any manual intervention.

This event-driven architecture aligns well with serverless computing, enabling real-time data processing and automation of workflows based on object lifecycle events. The ability to react to S3 events is a vital feature in building responsive data analytics and processing pipelines.

On the other hand, the other options do not accurately reflect the core integration capabilities between Amazon S3 and AWS Lambda. For example, while running backups is a function that can be performed within the broader scope of AWS services, it does not pinpoint the direct interaction between S3 and Lambda. Monitoring data lake operations is more aligned with services like AWS Lake Formation or AWS CloudTrail rather than Lambda's event-driven functions. Storing Lambda code in S3 is a common practice, but it is not the primary method by which S3 and Lambda are integrated. The true integration