Microsoft AI-900 Real Exam Questions
The questions for AI-900 were last updated at Nov 24,2024.
- Exam Code: AI-900
- Exam Name: Microsoft Azure AI Fundamentals
- Certification Provider: Microsoft
- Latest update: Nov 24,2024
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.
DRAG DROP
Match the types of computer vision to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all. NOTE: Each correct selection is worth one point.
You are building an AI-based app.
You need to ensure that the app uses the principles for responsible AI.
Which two principles should you follow? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- A . Implement an Agile software development methodology
- B . Implement a process of Al model validation as part of the software review process
- C . Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer
- D . Prevent the disclosure of the use of Al-based algorithms for automated decision making
Which metric can you use to evaluate a classification model?
- A . true positive rate
- B . mean absolute error (MAE)
- C . coefficient of determination (R2)
- D . root mean squared error (RMSE)
HOTSPOT
You have a database that contains a list of employees and their photos.
You are tagging new photos of the employees.
For each of the following statements select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
HOTSPOT
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
- A . the model name
- B . the training endpoint
- C . the authentication key
- D . the REST endpoint