Explore the core capabilities of customer engagement apps in Dynamics 365 →mediumMultiple ChoiceObjective-mapped

MB-910 Practice Question: Explore the core capabilities of customer engagement apps in Dynamics 365

Exhibit

Refer to the exhibit.

KQL query:
Case
| where CreatedOn > datetime(2024-01-01)
| summarize Count = count() by Product

A Dynamics 365 administrator runs this KQL query in Customer Service analytics. What insight does the query provide?

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

✓

Number of cases created after a date, grouped by product

The query counts cases created after a specified date (e.g., January 1, 2024) and groups them by product. Option B is incorrect because the query does not filter by severity. Option C is incorrect because it does not calculate average resolution time. Option D is incorrect because it does not group by agent.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✓
Number of cases created after a date, grouped by product
Why this is correct
The query summarizes case count by product.
✗
Number of high-severity cases by product
Why it's wrong here
The query does not filter by severity.
✗
Average resolution time per product
Why it's wrong here
The query does not include time to resolution.
✗
Number of cases assigned to each agent
Why it's wrong here
The query groups by product, not agent.

Go deeper

MB-910 Practice Question: Explore the core capabilities of customer engagement apps in Dynamics 365

Exhibit

Why each option matters

Option-by-option breakdown

Related to this question