Your company simplifies business processes by making use of Power Automate and Power Apps.
You have been tasked with creating an AI model using AI Builder that examines client assessments regarding products.
Which of the following is the AI model you should create?
To examine client assessments regarding products, the most appropriate AI model to create would be a Category classification model. This model is designed to categorize text data, identifying and tagging text entries which is essential for understanding and analyzing client assessments, particularly if the assessments include free text describing their experiences and opinions. This method serves purposes like sentiment analysis, spam detection, and customer request routing, all of which are relevant for examining client assessments.
Answer should be Category Classification
The requirement/keywords is "examine client assessment" Form processing would "extract client assessment", but the task of examine (if really means that): to look into further details with some opinion... then classification model: Category classification is one of the fundamental natural language processing (NLP) challenges. With category classification, you can identify text entries with tags to be used for things like: Sentiment analysis Spam detection Customer request routing Other business needs serves the "examine' purpose
Not enough info in my opinion. If this is just free text - category classification. But if it is a form with boxes, checkboxes, closef questionsetc then C. Well hopefully there is note details when on exam.
It should be A, Category classification model. I was perplexed why it should be form, because form is for things like OCR, you have the data in a physical paper form that you want to digitize to electronic format.
The correct answer is A. A Category classification model . This model can help you classify data into categories based on its characteristics and can be used to predict which category new data belongs to.
Category classificaton
The question is about customer feedback. So potentially text analysis or something else. In this article, https://docs.microsoft.com/en-us/ai-builder/model-types, Microsoft points out that the typical model for identifying and classifying customer feedback is sentiment analysis. This not being one of the possible answers, the following article: https://docs.microsoft.com/en-us/ai-builder/text-classification-overview highlights that the category classification model covers the need for sentiment analysis. So for me the answer is A Category classification model.
A is the answer.
Client assessment is part of the Category Classification.
using the word assessment rather than feedback or opinion made it seems to be a structured form to be processed, so I will go with C
Category classification model fits the best. Entity classification model will extract entities e.g. city, percentage (https://learn.microsoft.com/en-us/ai-builder/prebuilt-entity-extraction?source=recommendations)
how are customer evaluations carried out? probably with written reports and these are documents, aren't they? so for me answer C is the right one
When Exam Topics says it is form processing, what's the point in arguing amount it, and sometimes, it is the best answer.
C is true
The prebuilt category classification model is a ready to use AI model that is configured to classify your text into categories that are useful for a specific business scenario. The first prebuilt category classification AI model is built around customer feedback uses. Check back for additional category classification prebuilt models, or check release plans to see what might be coming.
Category Classification
ansewer