AI-102 Question 404
Single answerYou are working on a solution to process invoices using Azure AI. You need to implement a custom document intelligence model to extract specific fields such as invoice number, date, and total amount. After labeling the data in the Form Recognizer Studio, what is the next step you should perform to train the model?
- A
Test the model using sample documents to validate the extraction accuracy.
- B
Publish the model to make it available for use in production.
- C
Train the model by providing labeled data and initiating training in Form Recognizer Studio.
- D
Configure a Cognitive Services resource in Azure to connect to the model.
Show answer and explanation
Correct answer: C
Explanation
After labeling the data in Form Recognizer Studio, the next logical step is to train the model using the labeled data. This training process teaches the model how to extract the required fields from documents. Once the model is trained, it can be tested for accuracy and then published for production use.
- A. Incorrect.
Testing the model is important but it can only be done after the model has been trained. This step is not performed immediately after labeling the data.
- B. Incorrect.
Publishing the model is a required step for production use, but it must be trained first before it can be published.
- C. Correct.
Training the model using labeled data is the next step after labeling in Form Recognizer Studio. This process enables the model to learn how to extract the specified fields.
- D. Incorrect.
Configuring a Cognitive Services resource is necessary for using Form Recognizer, but this step is typically done before labeling and training the model.