Question 62 of 68
Choose 2CertylQ An ML engineer has developed a binary classification model outside of Amazon SageMaker. The ML engineer needs tomake the model accessible to a SageMaker Canvas user for additional tuning. The model artifacts are stored in an Amazon S3 bucket. The ML engineer and the Canvas user are part of the same SageMaker domain. user? (Choose two.)
AThe ML engineer and the Canvas user must be in separate SageMaker domains.
✓BOption B text unavailable (OCR).
✓CThe model must be registered in the SageMaker Model Registry.
DThe ML engineer must host the model on AWS Marketplace.
EThe ML engineer must deploy the model to a SageMaker endpoint.
✓
Correct Answer: B, C
Option B text unavailable (OCR).
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Explanation
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