Microsoft Fabric Analytics Engineer Associate DP-600
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You are tasked with implementing predictive analytics to forecast the sales of a new product launch in a retail company. The dataset includes 'Date', 'StoreID', 'ProductID', 'SalesAmount', and 'PromotionFlag'. Describe how you would set up a predictive model using Azure Machine Learning in Microsoft Fabric, including the type of model you would choose and the data preprocessing steps necessary.
Explanation:
For forecasting sales of a new product, a linear regression model is appropriate as it can handle continuous outcomes like sales amounts. Preprocessing steps include normalizing the data and splitting it into training and test sets to ensure the model is trained and validated effectively.