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.

Simulated

Use a linear regression model, preprocess data by normalizing and splitting into training and test sets.

41.2%

Choose a decision tree model, preprocess data by encoding categorical variables and scaling numerical features.

23.5%

Implement a time series forecasting model, preprocess data by handling missing values and creating lag features.

23.5%

Select a neural network model, preprocess data by binning and reducing dimensionality.

11.8%

Microsoft Fabric Analytics Engineer Associate DP-600