The correct answer is that the query reveals the number of cases created after a specific date, grouped by product. This insight comes directly from the KQL query’s structure: it uses a `where` clause to filter for cases created after January 1, 2024, and a `summarize` statement with a `count()` aggregation, grouping the results by the product field. On the Microsoft Dynamics 365 Fundamentals CRM MB-910 exam, this question tests your ability to interpret basic Kusto Query Language syntax within Customer Service analytics, a common scenario for administrators who need to track case volumes by product over time. A frequent trap is confusing the `where` filter with severity or resolution metrics, but the absence of any severity field or time-difference calculation eliminates those options. Remember the memory tip: “Count after date, group by product” — if you see `summarize count() by Product` and a date filter, you are looking at case creation volume, not agent performance or resolution speed.
MB-910 Practice Question: Explore the core capabilities of customer engagement apps in Dynamics 365
This MB-910 practice question tests your understanding of explore the core capabilities of customer engagement apps in dynamics 365. 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.
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 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
Option B is correct because the query counts cases created after Jan 1, 2024, grouped by product. Option A is wrong because it does not filter by severity. Option C is wrong because it does not measure resolution time. Option D is wrong because it does not group by agent.
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.
✓
Number of cases created after a date, grouped by product
Why this is correct
The query summarizes case count by product.
Related concept
Read the scenario before looking for a memorised answer.
✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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 MB-910 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Explore the core capabilities of customer engagement apps in Dynamics 365 — This question tests Explore the core capabilities of customer engagement apps in Dynamics 365 — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Number of cases created after a date, grouped by product — Option B is correct because the query counts cases created after Jan 1, 2024, grouped by product. Option A is wrong because it does not filter by severity. Option C is wrong because it does not measure resolution time. Option D is wrong because it does not group by agent.
What should I do if I get this MB-910 question wrong?
Identify which MB-910 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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