
Ultimate access to all questions.
Your team is considering implementing a custom document intelligence model to extract data from a specific type of document that is not well-supported by the prebuilt models. What steps should you follow to train, test, and publish this custom model?
A
Collect a set of labeled training documents, train the model using Azure Custom Document Understanding, evaluate its performance, and publish it when ready.
B
Use the prebuilt models to extract data from the documents and manually correct any errors.
C
Create a custom Azure AI Search skill and use it to extract data from the documents.
D
Use Azure Machine Learning to build and train a custom machine learning model.