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Which machine learning model should you use to predict product sales?
Prepare for the AI-900 exam by learning which AI workload is used to predict numerical values like product sales. Understand why machine learning regression is the correct answer and how it differs from anomaly detection, Azure AI Vision, and natural language processing for forecasting tasks.
Question
Which type of AI workload matches the following scenario? “Predict next month’s product sales.”
A. Machine Learning (Regression)
B. AI Anomaly detection
C. Azure AI Vision
D. Natural Language processing
Answer
A. Machine Learning (Regression)
Explanation
The correct type of AI workload for the scenario “Predict next month’s product sales” is A. Machine Learning (Regression). This task involves forecasting a specific numerical value, which is the primary function of a regression model.
Understanding Machine Learning (Regression)
Regression is a supervised machine learning technique used to predict a continuous numerical output. In a regression problem, the model is trained on a dataset containing historical input features (such as past sales data, marketing budget, time of year, and economic indicators) and their corresponding known outcomes (actual sales figures). The model learns the statistical relationship between these features and the outcome. Once trained, it can take new input data to predict a future numerical value. Predicting next month’s sales is a classic forecasting task that fits perfectly within the definition of regression.
Why Other Options Are Incorrect
- AI Anomaly Detection: This workload is designed to identify unusual data points or events that deviate from the norm. For example, it could be used to detect a sudden, unexpected spike or drop in sales, but it does not predict the specific sales figure for the next month.
- Azure AI Vision: This is a computer vision service used to analyze images and videos. It is irrelevant for predicting sales figures, which is a task based on numerical and categorical data, not visual information.
- Natural Language Processing (NLP): This field of AI is focused on understanding, interpreting, and generating human language. It would be used for tasks like analyzing customer reviews or chatbot interactions, not for numerical forecasting based on historical sales data.
Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.