Describe the core capabilities of the finance and operations apps →hardMultiple ChoiceObjective-mapped
MB-920 Practice Question: Describe the core capabilities of the finance and operations apps
A company is implementing Dynamics 365 Supply Chain Management and wants to use AI-powered demand forecasting. The data scientist needs to include external factors like weather and economic indicators. Which feature should be enabled?
⚠ Common exam trap
It's easy for candidates to confuse the Inventory Visibility Add-in (which provides real-time stock data) with demand forecasting, not realizing that external factor integration requires Azure Machine Learning, not just visibility or warehouse operations.
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
✓
Demand Forecasting with Azure Machine Learning
Demand Forecasting with Azure Machine Learning is the specific feature in Dynamics 365 Supply Chain Management that allows data scientists to incorporate external factors such as weather and economic indicators into demand predictions. This feature leverages Azure Machine Learning to train custom models that can ingest external datasets alongside historical transaction data, enabling more accurate and context-aware forecasts.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Demand Forecasting with Azure Machine Learning
Why this is correct
This feature enables using external data for more accurate forecasts.
- ✗
Asset Management
Why it's wrong here
Asset Management is for maintenance of equipment.
- ✗
Inventory Visibility Add-in
Why it's wrong here
The Inventory Visibility Add-in provides near-real-time inventory tracking across channels and warehouses, but it lacks the machine learning engine to ingest external data sources such as weather or economic indicators for demand forecasting. It is tempting because it handles multi-source inventory data, which might appear related to demand inputs. This add-in would be correct if the scenario required synchronising on-hand stock across multiple systems, not predicting future demand with external factors.
- ✗
Warehouse Management
Why it's wrong here
Warehouse Management handles operations, not demand forecasting.
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