The latest Microsoft AI-900 Azure AI Fundamentals certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the Microsoft AI-900 Azure AI Fundamentals exam and earn Microsoft AI-900 Azure AI Fundamentals certification.
Table of Contents
Question 331
What language code is returned if you have a score on NaN?
Answer
Unknown
Question 332
What are some of the key elements of AI
Answer
- Computer vision
- Conversational AI
- Machine Learning
Question 333
You have a gym membership database complete with members’ name, age, gender, weight, height and the number of times they visit your gym every week. You wish to use this dataset to predict future attendance to your fitness classes. You have determined that the members’ name should not be used in the machine learning model. This is an example of
Answer
Data transformation
Question 334
Which Azure service is best for detecting popular brand logos
Answer
Computer vision
Question 335
You want to create a model to predict sales of ice cream based on historic data that includes daily ice cream sales totals and weather measurements. Which Azure service should you use?
Answer
Azure Machine Learning
Question 336
You want to train a model that classifies images of dogs and cats based on a collection of your own digital photographs. Which Azure service should you use?
Answer
Custom Vision
Question 337
You are designing an AI application that uses computer vision to detect cracks in car windshields, and warns drivers when a windshield should be repaired or replaced. When tested in good lighting conditions, the application successfully detects 99% of dangerously damaged glass. Which of the following statements should you include in the application’s user interface?
Answer
When used in good lighting conditions, this application can be used to identify potentially dangerous cracks and defects in windshields. If you suspect your windshield is damaged, even if the application does not detect any defects, you should have it inspected by a professional.
Question 338
An automobile dealership wants to use historic car sales data to train a machine learning model. The model should predict the price of a pre-owned car based on its make, model, engine size, and mileage. What kind of machine learning model should the dealership use automated machine learning to create?
Answer
Regression
Question 339
A bank wants to use historic loan repayment records to categorize loan applications as low-risk or high-risk based on characteristics like the loan amount, the income of the borrower, and the loan period. What kind of machine learning model should the dealership use automated machine learning to create?
Answer
Classification
Question 340
You want to use automated machine learning to train a regression model with the best possible R2 score. How should you configure the automated machine learning experiment?
Answer
Set the Primary metric to R2 score