The answer is that Copilot can summarize the case history for an agent when they open a case and draft an email response to a customer. These two actions are correct because Copilot in the Customer Service workspace uses generative AI to analyze the conversation context, including past interactions and case details, to instantly produce a concise summary for the agent, saving them from manually reviewing logs. Similarly, it can generate a relevant email draft by pulling from the case history and recent chat threads, allowing agents to review and send with minimal effort. On the Microsoft Dynamics 365 Fundamentals ERP MB-920 exam, this question tests your understanding of Copilot’s specific productivity features within Customer Service, not general AI capabilities—a common trap is confusing Copilot’s ability to create knowledge articles or automate workflows, which are separate functions. Remember the memory tip: “Summarize and Draft” are the two hands-on actions that directly reduce an agent’s typing time.
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.
A company is implementing Dynamics 365 Customer Service and wants to use Copilot to improve agent productivity. Which TWO actions can Copilot perform in the customer service workspace?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Draft an email response to a customer based on the conversation context
Option C is correct because Copilot in Dynamics 365 Customer Service can draft an email response to a customer by analyzing the conversation context, including the case history and recent interactions, to generate a relevant reply. This leverages generative AI to summarize the context and produce a draft that agents can review and send, directly improving productivity by reducing manual typing.
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.
✗
Create a new case automatically when an email arrives
Why it's wrong here
Email-to-case is a separate feature; Copilot does not automatically create cases.
✗
Create a knowledge article from a resolved case
Why it's wrong here
Knowledge article creation is a manual process or uses other tools.
✓
Draft an email response to a customer based on the conversation context
Why this is correct
Copilot can generate draft replies using conversation context.
Related concept
Read the scenario before looking for a memorised answer.
✗
Schedule a follow-up call with the customer
Why it's wrong here
Scheduling is not a Copilot capability in Customer Service.
✓
Summarize the case history for an agent when they open a case
Why this is correct
Copilot provides case summaries to help agents quickly understand the situation.
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 confuse Copilot's generative AI capabilities (drafting and summarizing) with broader automation features like case creation or scheduling, which are handled by separate tools such as Power Automate or email rules.
Detailed technical explanation
How to think about this question
Copilot in Dynamics 365 Customer Service uses Azure OpenAI Service to generate context-aware drafts by processing the conversation transcript, case details, and customer sentiment. It can also summarize case history when an agent opens a case (Option E), providing a quick overview of key events and resolutions, which is another validated Copilot capability. This dual functionality—drafting responses and summarizing histories—directly targets agent efficiency in high-volume support scenarios.
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: Draft an email response to a customer based on the conversation context — Option C is correct because Copilot in Dynamics 365 Customer Service can draft an email response to a customer by analyzing the conversation context, including the case history and recent interactions, to generate a relevant reply. This leverages generative AI to summarize the context and produce a draft that agents can review and send, directly improving productivity by reducing manual typing.
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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