Microsoft AI-900 Practice Exams
Last updated on Apr 09,2025- Exam Code: AI-900
- Exam Name: Microsoft Azure AI Fundamentals
- Certification Provider: Microsoft
- Latest update: Apr 09,2025
HOTSPOT
You are developing a model to predict events by using classification.
You have a confusion matrix for the model scored on test data as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.
You are building a tool that will process images from retail stores and identify the products of competitors.
The solution will use a custom model.
Which Azure Cognitive Services service should you use?
- A . Custom Vision
- B . Form Recognizer
- C . Face
- D . Computer Vision
You are building an AI system.
Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?
- A . Ensure that all visuals have an associated text that can be read by a screen reader.
- B . Enable autoscaling to ensure that a service scales based on demand.
- C . Provide documentation to help developers debug code.
- D . Ensure that a training dataset is representative of the population.
You build a QnA Maker bot by using a frequently asked questions (FAQ) page.
You need to add professional greetings and other responses to make the bot more user friendly.
What should you do?
- A . Increase the confidence threshold of responses
- B . Enable active learning
- C . Create multi-turn questions
- D . Add chit-chat
For a machine learning progress, how should you split data for training and evaluation?
- A . Use features for training and labels for evaluation.
- B . Randomly split the data into rows for training and rows for evaluation.
- C . Use labels for training and features for evaluation.
- D . Randomly split the data into columns for training and columns for evaluation.
When training a model, why should you randomly split the rows into separate subsets?
- A . to train the model twice to attain better accuracy
- B . to train multiple models simultaneously to attain better performance
- C . to test the model by using data that was not used to train the model
You are developing a solution that uses the Text Analytics service.
You need to identify the main talking points in a collection of documents.
Which type of natural language processing should you use?
- A . entity recognition
- B . key phrase extraction
- C . sentiment analysis
- D . language detection
You are building a Language Understanding model for an e-commerce business.
You need to ensure that the model detects when utterances are outside the intended scope of the model.
What should you do?
- A . Test the model by using new utterances
- B . Add utterances to the None intent
- C . Create a prebuilt task entity
- D . Create a new model
Topic 2, Describe fundamental principles of machine learning on Azure
HOTSPOT
To complete the sentence, select the appropriate option in the answer area.
