The answer is to use Copilot to extract invoice data and suggest matching to purchase orders. This is the most efficient approach because Copilot in Dynamics 365 Finance leverages AI to automatically pull key fields like vendor name, amounts, and line items from purchase invoices, then intelligently proposes matches to existing purchase orders. This automation drastically reduces manual data entry and accelerates the invoice processing workflow, while still flagging exceptions for human review. On the MB-920 exam, this question tests your understanding of how Copilot enhances core ERP processes—specifically the Accounts Payable cycle—and often appears as a scenario contrasting full automation versus assisted matching. A common trap is choosing an option that suggests fully automated posting without human oversight, but remember that Copilot is designed to assist, not replace, the reviewer. Memory tip: think “Extract and Suggest” for Copilot’s role—it pulls the data and proposes the match, but a person still approves the final step.
MB-920 Practice Question: Describe shared features and Copilot capabilities
This MB-920 practice question tests your understanding of describe shared features and copilot capabilities. 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.
An organization uses Dynamics 365 Finance. The finance team notices that purchase invoices are taking too long to process manually. They want to use Copilot to streamline the invoice processing workflow. What is the most efficient way to achieve this?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use Copilot to extract invoice data and suggest matching to purchase orders
Option D is correct because Copilot in Dynamics 365 Finance can intelligently extract key data from purchase invoices (such as vendor, amounts, and line items) and then suggest matching to existing purchase orders. This significantly reduces manual data entry and speeds up the invoice processing workflow while still allowing human review for exceptions.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Use Copilot to detect duplicate invoices only
Why it's wrong here
Copilot can do more than detect duplicates; it can extract data and match to POs.
✗
Set up Copilot to fully automate invoice approval without human review
Why it's wrong here
Copilot is an assistant, not a full automation; human review is still needed.
✗
Configure Copilot to automatically create a new workflow for each invoice
Why it's wrong here
Copilot does not create workflows; it assists within existing workflows.
✓
Use Copilot to extract invoice data and suggest matching to purchase orders
Why this is correct
This leverages Copilot's AI to reduce manual effort in invoice processing.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think Copilot can fully automate approvals (Option B) or that creating new workflows (Option C) is efficient, but the exam tests understanding that Copilot augments human work by automating data extraction and matching, not by removing human oversight or adding unnecessary workflow complexity.
Detailed technical explanation
How to think about this question
Copilot in Dynamics 365 Finance leverages AI Builder and prebuilt document processing models to extract fields like invoice number, date, line amounts, and vendor details from PDF or image invoices. It then uses the purchase order matching engine to compare extracted data against open purchase orders, flagging matches and discrepancies for user confirmation. In a real-world scenario, this reduces invoice processing time from minutes to seconds, especially for high-volume AP departments.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Describe shared features and Copilot capabilities — This question tests Describe shared features and Copilot capabilities — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use Copilot to extract invoice data and suggest matching to purchase orders — Option D is correct because Copilot in Dynamics 365 Finance can intelligently extract key data from purchase invoices (such as vendor, amounts, and line items) and then suggest matching to existing purchase orders. This significantly reduces manual data entry and speeds up the invoice processing workflow while still allowing human review for exceptions.
What should I do if I get this MB-920 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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