Which combination of changes should a solutions architect make?

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A company has a photo sharing social networking application.To provide a consistent experience for users, the company performs some image processing on the photos uploaded by users before publishing on the application.The image processing is implemented using a set of Python libraries.The current architecture is as follows:✑ The image processing Python code runs in a single Amazon EC2 instance and stores the processed images in an Amazon S3 bucket named ImageBucket.✑ The front-end application, hosted in another bucket, loads the images from ImageBucket to display to users.With plans for global expansion, the company wants to implement changes in its existing architecture to be able to scale for increased demand on the application and reduce management complexity as the application scales.

Which combination of changes should a solutions architect make?

(Choose two.)

Place the image processing EC2 instance into an Auto Scaling group.

Use AWS Lambda to run the image processing tasks.

Use Amazon Rekognition for image processing.

Use Amazon CloudFront in front of ImageBucket.

Deploy the applications in an Amazon ECS cluster and apply Service Auto Scaling.

Explanations:

Placing the EC2 instance into an Auto Scaling group would help with scaling, but it does not address the overall complexity and management issues, as it still relies on managing EC2 instances.

Using AWS Lambda for image processing allows for serverless execution, scaling automatically with demand, and reduces management overhead, as there are no servers to maintain.

Amazon Rekognition is primarily for image analysis and recognition rather than general image processing tasks (like resizing, filtering, etc.), making it unsuitable for this scenario.

Implementing Amazon CloudFront in front of ImageBucket can improve performance and reduce latency by caching images at edge locations, enhancing the user experience during global expansion.

Deploying applications in an Amazon ECS cluster with Service Auto Scaling is a viable solution but may introduce additional complexity compared to using serverless options like AWS Lambda, especially if the focus is on simplicity and management.

2026-03-24

2 Comments

  1. Joshua
    Author

    I chart that the answer is:
    Use AWS Lambda to run the image processing tasks.

  2. Luke
    Author

    I measure that the answer is:
    Use AWS Lambda to run the image processing tasks.

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