Exam MB-330 topic 6 question 35 discussion

[1] Demand forecasting in D365 allows the system to analyze historical transactional data (e.g., sales orders, inventory movements) to predict future inventory needs. It uses this data to generate demand forecasts, which can then be integrated into master planning to determine inventory requirements. [2] Demand forecasting, D365 provides tools to refine forecasts by filtering outliers, such as transactions that fall outside a standard deviation. When configuring demand forecasting parameters (e.g., via the Demand forecasting parameters setup or the forecasting model in Azure Machine Learning), you can adjust settings to exclude anomalies based on statistical measures like standard deviation.

Correct Demand forecasting for both, please have in mind the following: Safety stock journal does not use historical transactional data to define future inventory, nor does it exclude transactions outside of a standard deviation. It only lets you adjust the safety stock quantity for items in a warehouse.

Should be Demand Forecasting for both 1. "Demand forecasting is used to predict independent demand from sales orders and dependent demand at any decoupling point for customer orders. The enhanced demand forecast reduction rules provide an ideal solution for mass customization. To generate the baseline forecast, a summary of historical transactions is passed to Microsoft Azure Machine Learning hosted on Azure." https://learn.microsoft.com/en-us/dynamics365/supply-chain/master-planning/introduction-demand-forecasting 2. Remove outliers from historical transaction data when calculating a demand forecast https://learn.microsoft.com/en-us/dynamics365/supply-chain/master-planning/remove-historical-outliers-calculating-demand-forecast