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Microsoft Fabric Analytics Engineer Associate DP-600

Microsoft Fabric Analytics Engineer Associate DP-600

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You are tasked with implementing predictive analytics to forecast the demand for electricity in a city based on historical consumption data and weather patterns. The dataset includes 'Date', 'Consumption', 'Temperature', and 'Holiday'. 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



Explanation:

For forecasting electricity demand, a time series forecasting model is appropriate. Preprocessing steps include handling missing values, which is crucial for maintaining data integrity, and creating lag features to capture temporal dependencies in the data.

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