Microsoft AI-900 Practice Exams
Last updated on Apr 01,2025- Exam Code: AI-900
- Exam Name: Microsoft Azure AI Fundamentals
- Certification Provider: Microsoft
- Latest update: Apr 01,2025
What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
- A . coefficient of determination (R2)
- B . F1 score
- C . root mean squared error (RMSE)
- D . area under curve (AUC)
- E . balanced accuracy
You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?
- A . classification
- B . regression
- C . clustering
HOTSPOT
You have the following dataset.
You plan to use the dataset to train a model that will predict the house price categories of houses.
What are Household Income and House Price Category? To answer, select the appropriate option in the answer area. NOTE: Each correct selection is worth one point.
DRAG DROP
Match the types of machine learning to the appropriate scenarios.
To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point.
You need to create a training dataset and validation dataset from an existing dataset.
Which module in the Azure Machine Learning designer should you use?
- A . Select Columns in Dataset
- B . Add Rows
- C . Split Data
- D . Join Data
You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.
Which two services should you include in the solution? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- A . QnA Maker
- B . Azure Bot Service
- C . Form Recognizer
- D . Anomaly Detector
In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.
- A . Extract the invoice number from an invoice.
- B . Translate a form from French to English.
- C . Find image of product in a catalog.
- D . Identity the retailer from a receipt.