Question 1 of 30
A retail company is analyzing its sales data to optimize inventory management. They have a dataset containing sales transactions, including product IDs, quantities sold, and timestamps. The company wants to implement a solution that allows them to predict future sales based on historical data. Which of the following approaches would best facilitate this predictive analysis while ensuring scalability and performance?
Implementing Azure Machine Learning to build and deploy predictive models using historical sales data.
Utilizing Azure Blob Storage to store the sales data and running SQL queries for analysis.
Creating a Power BI dashboard to visualize sales trends without any predictive capabilities.
Setting up Azure Functions to process sales data in real-time without any machine learning integration.

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