This MB-920 practice question tests your understanding of describe the core capabilities of the finance and operations apps. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 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?
Demand Forecasting with Azure Machine Learning
This feature enables using external data for more accurate forecasts.
Asset Management
Why wrong: Asset Management is for maintenance of equipment.
Inventory Visibility Add-in
Why wrong: Inventory Visibility provides real-time inventory data, not forecasting.
Warehouse Management
Why wrong: Warehouse Management handles operations, not demand forecasting.
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 with Azure Machine Learning
Option A is correct because 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.
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.
Demand Forecasting with Azure Machine Learning
Why this is correct
This feature enables using external data for more accurate forecasts.
Related concept
Read the scenario before looking for a memorised answer.
Asset Management
Why it's wrong here
Asset Management is for maintenance of equipment.
Inventory Visibility Add-in
Why it's wrong here
Inventory Visibility provides real-time inventory data, not forecasting.
Warehouse Management
Why it's wrong here
Warehouse Management handles operations, not demand forecasting.
Common exam traps
The trap here is that candidates may 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.
Detailed technical explanation
Demand Forecasting with Azure Machine Learning works by allowing the data scientist to define a forecast model that can include external regressors (e.g., temperature, GDP, holiday indicators) as additional input features. The system uses Azure Machine Learning’s automated machine learning (AutoML) to select the best algorithm (e.g., ARIMA, ETS, or neural networks) and tune hyperparameters, then publishes the forecast results back into Dynamics 365 for planning. A real-world scenario is a retailer adjusting inventory for seasonal beverages based on forecasted heatwaves, where the model learns that a 5°C temperature increase correlates with a 20% sales lift.
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
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Describe the core capabilities of the finance and operations apps — study guide chapter
Learn the concepts, then practise the questions
Describe the core capabilities of the finance and operations apps practice questions
Targeted practice on this topic area only
All MB-920 questions
966 questions across all exam domains
Microsoft Dynamics 365 Fundamentals ERP MB-920 study guide
Full concept coverage aligned to exam objectives
MB-920 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise MB-920 questions linked to Describe Dynamics 365 Supply Chain Management.
Practise MB-920 questions linked to Describe Dynamics 365 Finance.
Practise MB-920 questions linked to Describe the core capabilities of the finance and operations apps.
Practise MB-920 questions linked to Describe shared features and Copilot capabilities.
Practise MB-920 questions linked to Describe Dynamics 365 Human Resources.
Practise MB-920 questions linked to Describe Dynamics 365 Commerce.
Practise MB-920 questions linked to Describe Dynamics 365 Project Operations.
Practise MB-920 questions linked to Describe shared Dynamics 365 ERP features.
Practise MB-920 questions linked to MB-920 fundamentals.
Practise MB-920 questions linked to MB-920 scenario.
Practise MB-920 questions linked to MB-920 troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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 with Azure Machine Learning — Option A is correct because 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.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jun 24, 2026
This MB-920 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MB-920 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.