Câu 107: AWS Certified AI Practitioner AIF-C01
An ML research team develops custom ML models. The model artifacts are shared with other teams for integration into products and services. The ML team retains the model training code and data. The ML team wants to build a mechanism that the ML team can use to audit models. Which solution should the ML team use when pu…
Nội dung câu hỏi
An ML research team develops custom ML models. The model artifacts are shared with other teams for integration into products and services. The ML team retains the model training code and data. The ML team wants to build a mechanism that the ML team can use to audit models. Which solution should the ML team use when publishing the custom ML models?
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
- A. Create documents with the relevant information. Store the documents in Amazon S3.
- B. Use AWS AI Service Cards for transparency and understanding models.
- C. Create Amazon SageMaker Model Cards with intended uses and training and inference details. — đáp án hiện tại
- D. Create model training scripts. Commit the model training scripts to a Git repository.
Cộng đồng
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