MLS-C01 · Question #162
A library is developing an automatic book-borrowing system that uses Amazon Rekognition. Images of library members' faces are stored in an Amazon S3 bucket. When members borrow books, the Amazon…
The correct answer is A. Enable server-side encryption on the S3 bucket. A Images passed to Amazon Rekognition API operations may be stored and used to improve the service unless you unless you have opted out by visiting the AI services opt-out policy page and following the process explained there…
Question
A library is developing an automatic book-borrowing system that uses Amazon Rekognition. Images of library members' faces are stored in an Amazon S3 bucket. When members borrow books, the Amazon Rekognition CompareFaces API operation compares real faces against the stored faces in Amazon S3. The library needs to improve security by making sure that images are encrypted at rest. Also, when the images are used with Amazon Rekognition. they need to be encrypted in transit. The library also must ensure that the images are not used to improve Amazon Rekognition as a service. How should a machine learning specialist architect the solution to satisfy these requirements?
Options
- AEnable server-side encryption on the S3 bucket.
- BSwitch to using an Amazon Rekognition collection to store the images.
- CSwitch to using the AWS GovCloud (US) Region for Amazon S3 to store images and for Amazon
- DEnable client-side encryption on the S3 bucket.
How the community answered
(46 responses)- A78% (36)
- B11% (5)
- C7% (3)
- D4% (2)
Explanation
A Images passed to Amazon Rekognition API operations may be stored and used to improve the service unless you unless you have opted out by visiting the AI services opt-out policy page and following the process explained there https://docs.aws.amazon.com/rekognition/latest/dg/security-data-encryption.html
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