MLA-C01 Question #62: Real Exam Question with Answer & Explanation

Question

An ML engineer has developed a binary classification model outside of Amazon SageMaker. The ML engineer needs to make 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. Which combination of requirements must be met so that the ML engineer can share the model with the Canvas user? (Choose two.)

Options

• AThe ML engineer and the Canvas user must be in separate SageMaker domains.
• BThe Canvas user must have permissions to access the S3 bucket where the model artifacts are
• 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.