FREE Microsoft Azure AI Fundamentals MCQ Questions and Answers

Question 1

Which kind of artificial intelligence workload employs sensors to foretell future equipment mechanical problems and inform users beforehand?

Accepted Answer

Anomaly detection

Answer

The task of using sensors to foretell future equipment mechanical problems and inform users beforehand is a classic application of anomaly detection. Anomaly detection AI workloads identify unusual patterns or outliers in data that deviate from normal behavior. These deviations can indicate impending failures or issues in machinery, allowing for proactive maintenance.

Question 2

The idea that responsible AI-based solutions have constraints is known as the _______________ principle.

Accepted Answer

Transparency

Answer

The principle that responsible AI-based solutions have constraints and that their limitations should be understood and communicated is a key aspect of Transparency. Transparency ensures that users and developers are aware of what an AI system can and cannot do, its potential biases, and the context in which it should be used, fostering realistic expectations and trust.

Question 3

The idea that everyone in society, regardless of gender or race, should benefit from ethical AI systems is known as: .

Accepted Answer

Inclusiveness

Answer

The idea that everyone in society, regardless of gender or race, should benefit from ethical AI systems is the core definition of the Inclusiveness principle. This principle advocates for designing AI that is accessible, fair, and beneficial to the widest possible range of people. It aims to ensure no group is unfairly excluded or disadvantaged by AI technologies.

Question 4

Determine numerical values that, given a dog's age and body fat percentage, indicate the likelihood that it will get sick. What kind of machine learning model need to you employ?

Accepted Answer

Multiple linear regression

Answer

The goal is to determine numerical values (likelihood of sickness) based on multiple input factors (dog's age and body fat percentage). Multiple linear regression is the appropriate machine learning model for predicting a continuous numerical outcome using two or more independent numerical features. Logistic regression is for binary classification, and hierarchical clustering is for grouping, not numerical prediction.

Question 5

Based on the dogs' age and body fat percentage, you want to utilize machine learning to estimate how sick the dogs will become. The model has to have .

Accepted Answer

two features and one label

Answer

In machine learning, features are the input variables used to make a prediction, and the label is the output variable that the model is trained to predict. Here, 'dog's age' and 'body fat percentage' are the two input features. The 'how sick the dogs will become' (the likelihood or degree of sickness) is the single numerical label that the model will learn to predict.

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Practice Test

FREE Microsoft Azure AI Fundamentals MCQ Questions and Answers