MLS-C01 · Question #137
A medical imaging company wants to train a computer vision model to detect areas of concern on patients' CT scans. The company has a large collection of unlabeled CT scans that are linked to each…
The correct answer is C. Create a private workforce and manifest file. The requirement that authorized users should only have access. These users will comprise the private workforce of AWS Ground Truth. See documentation: https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-private.html
Question
A medical imaging company wants to train a computer vision model to detect areas of concern on patients' CT scans. The company has a large collection of unlabeled CT scans that are linked to each patient and stored in an Amazon S3 bucket. The scans must be accessible to authorized users only. A machine learning engineer needs to build a labeling pipeline. Which set of steps should the engineer take to build the labeling pipeline with the LEAST effort?
Options
- ACreate a workforce with AWS Identity and Access Management (IAM).
- BCreate an Amazon Mechanical Turk workforce and manifest file.
- CCreate a private workforce and manifest file.
- DCreate a workforce with Amazon Cognito.
How the community answered
(28 responses)- A7% (2)
- B14% (4)
- C75% (21)
- D4% (1)
Explanation
The requirement that authorized users should only have access. These users will comprise the private workforce of AWS Ground Truth. See documentation: https://docs.aws.amazon.com/sagemaker/latest/dg/sms-workforce-private.html
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