AWS Certified AI Practitioner AIF-C01 — Topic 1 Question 91

Question

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?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Create Amazon SageMaker Model Cards with intended uses and training and inference details. Amazon RDS is a managed relational database that handles patching, backups and failover. Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

AWS Certified AI Practitioner AIF-C01 — Question 91