Question #827

试题更新时间: 2023-11-07 12:59:45

A team is developing a feature that needs to recognize Celebrities. By using the APP, clients are able to upload photos and search celebrities among the photos by clicking a button. Or they can upload a bunch of photos and search the times that a given celebrity has appeared. The team wants to run the APP in AWS with a lower cost. Which option is the most efficient one to implement while still ensuring the availability and stability?

A. Create the frontend and backend in a T2 medium EC2 instances to use its burstable capability. Call Rekognition API "RecognizeCelebrities" to fetch the information in a JSON format. Process the JSON result in the backend service and return the result to the frontend UI.

B. Develop the APP in serverless lambda to use Rekognition API "SearchFaces" to search a Celebrity. The input image can be base64-encoded bytes or an S3 object. After the API has been returned, present the result to clients.

C. Use AWS Rekognition service. Implement the APP in lambda to call Rekognition API "RecognizeCelebrities" to fetch the information required in a JSON format. Process the information in Lambda and return the result to end-users. Use S3 for clients to upload photos.

D. Implement the APP in a M4 large EC2 instances with Auto Scaling and Elastic Load Balancer. Build the application via a CloudFormation template. Use the APP to call Rekognition API "SearchFaces" to get the information. Process the JSON result in the backend service and return the result to the frontend with a CloudFront CDN.

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