Microsoft DP-500 Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI 04 31Oct2024 - Practice Quiz

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A retail company is analyzing its sales data to improve inventory management and customer satisfaction. They have implemented a predictive analytics solution using Azure Machine Learning to forecast demand for various products. The company has historical sales data for the past three years, which includes seasonal trends, promotional events, and economic indicators. To enhance the accuracy of their forecasts, they decide to incorporate external data sources, such as weather forecasts and local events. What is the most effective approach for integrating these external data sources into their predictive model?

Use Azure Data Factory to create a data pipeline that ingests external data and merges it with historical sales data before training the model.

Manually input external data into the model each time a forecast is generated.

Rely solely on historical sales data without considering external factors, as past performance is the best predictor of future sales.

Use a third-party analytics tool to analyze external data separately and then summarize findings for the predictive model.

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