This MB-920 practice question tests your understanding of describe the core capabilities of the finance and operations apps. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company wants to optimize inventory levels by analyzing historical sales data and predicting future demand. Which module in Dynamics 365 Supply Chain Management should they use?
Warehouse management
Why wrong: Warehouse management handles storage and movement, not demand prediction.
Demand forecasting
Demand forecasting predicts future demand based on historical data.
Production control
Why wrong: Production control manages manufacturing processes, not demand prediction.
Transportation management
Why wrong: Transportation management manages shipping, not demand prediction.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Demand forecasting
Demand forecasting in Dynamics 365 Supply Chain Management uses historical sales data and machine learning models to predict future demand, enabling optimized inventory levels. It integrates with the master planning module to generate replenishment suggestions, directly addressing the scenario's need to analyze past data and forecast demand.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Warehouse management
Why it's wrong here
Warehouse management handles storage and movement, not demand prediction.
Demand forecasting
Why this is correct
Demand forecasting predicts future demand based on historical data.
Related concept
Read the scenario before looking for a memorised answer.
Production control
Why it's wrong here
Production control manages manufacturing processes, not demand prediction.
Transportation management
Why it's wrong here
Transportation management manages shipping, not demand prediction.
Common exam traps
The trap here is that candidates may confuse Warehouse management with inventory optimization, but Warehouse management is about physical storage and movement, not predictive analytics, which is the core of demand forecasting.
Detailed technical explanation
Demand forecasting leverages Azure Machine Learning to apply time-series algorithms (e.g., ARIMA, ETS) to historical transaction data, automatically adjusting for seasonality and trends. It can be configured to generate forecasts at multiple aggregation levels (e.g., item, site) and allows manual overrides, which are then consumed by master planning to calculate net requirements. A real-world scenario: a retailer uses demand forecasting to predict holiday spikes, reducing stockouts by 20% while avoiding overstock of slow-moving items.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Describe the core capabilities of the finance and operations apps — This question tests Describe the core capabilities of the finance and operations apps — Read the scenario before looking for a memorised answer..
The correct answer is: Demand forecasting — Demand forecasting in Dynamics 365 Supply Chain Management uses historical sales data and machine learning models to predict future demand, enabling optimized inventory levels. It integrates with the master planning module to generate replenishment suggestions, directly addressing the scenario's need to analyze past data and forecast demand.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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