MB-920 Describe Dynamics 365 Supply Chain Management Practice Question
A manufacturing company uses Dynamics 365 Supply Chain Management. They want to use AI to forecast demand for raw materials based on historical sales and external factors like weather. Which feature should they enable?
⚠ Common exam trap
Test-takers frequently confuse baseline forecasting in Master Planning (which uses simple statistical methods) with the AI-powered Demand Forecasting feature that integrates Azure Machine Learning and supports external factors.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable Demand Forecasting with Azure Machine Learning integration.
The scenario explicitly requires AI-driven demand forecasting that incorporates external factors like weather. Dynamics 365 Supply Chain Management's Demand Forecasting feature integrates with Azure Machine Learning to apply advanced algorithms that analyze historical sales data alongside external variables, producing more accurate predictions than traditional methods.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable Demand Forecasting with Azure Machine Learning integration.
Why this is correct
Demand Forecasting uses AI to analyze historical data and external factors for predictions.
- ✗
Use the Forecasting setup in Master planning to generate baseline forecasts.
Why it's wrong here
Baseline forecasts are simple and do not leverage AI or external factors.
- ✗
Configure Material Requirements Planning (MRP) to run nightly.
Why it's wrong here
MRP is a planning engine but does not include AI or external factors.
- ✗
Implement Inventory Forecasting with Power BI dashboards.
Why it's wrong here
Power BI visualizes data but does not perform AI-driven forecasting.
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