Question 3 of 68
Single answerCase Study- A company is building a web-based Al application by using Amazon SageMaker. The application will provide the following capabilities and features: ML experimentation, training, a central model registry,model deployment, and modelmonitoring. The application must ensure secure and isolated use of training data during the ML lifecycle. The training data is stored in Amazon S3. The company must implement a manual approval-based workflow to ensure that only approved models can be deployed to production endpoints. Which solution will meet this requirement?
CUse SageMaker Model Monitor to evaluate the performance of the model and to manage the approval. status to"Approved."
✓DOption D text unavailable (OCR).
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Correct Answer: D
Option D text unavailable (OCR).
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Explanation
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