MB-910 Describe Dynamics 365 Customer Insights Practice Question
This MB-910 practice question tests your understanding of describe dynamics 365 customer insights. 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. The following is a KQL query from a Customer Insights environment:
CustomerInsights
| where CustomerId == "12345"
| project CustomerId, PurchaseAmount, PurchaseDate
| summarize TotalSpend = sum(PurchaseAmount) by CustomerId
Refer to the exhibit. A data analyst runs this KQL query in Customer Insights. What is the purpose of this query?
Refer to the exhibit. The following is a KQL query from a Customer Insights environment:
CustomerInsights
| where CustomerId == "12345"
| project CustomerId, PurchaseAmount, PurchaseDate
| summarize TotalSpend = sum(PurchaseAmount) by CustomerId
A
To predict the likelihood of a customer making a future purchase
Why wrong: This is not a predictive query.
B
To create a segment of customers with high purchase amounts
Why wrong: The query only returns one customer's total spend.
C
To calculate the total purchase amount for a specific customer
It sums PurchaseAmount for CustomerId 12345.
D
To create a measure that calculates average purchase amount
Why wrong: It calculates sum, not average, and for one customer.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
To calculate the total purchase amount for a specific customer
The KQL query shown in the exhibit uses the `sum()` aggregation function on the `PurchaseAmount` column, filtered by a specific `CustomerID`. This calculates the total purchase amount for that single customer. Option C is correct because the query explicitly sums purchase amounts for one customer, not for a segment or as a predictive model.
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.
✗
To predict the likelihood of a customer making a future purchase
Why it's wrong here
This is not a predictive query.
✗
To create a segment of customers with high purchase amounts
Why it's wrong here
The query only returns one customer's total spend.
✓
To calculate the total purchase amount for a specific customer
Why this is correct
It sums PurchaseAmount for CustomerId 12345.
Related concept
Read the scenario before looking for a memorised answer.
✗
To create a measure that calculates average purchase amount
Why it's wrong here
It calculates sum, not average, and for one customer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse `sum()` with `avg()` or assume any aggregation implies segmentation, when the `where` clause clearly limits the query to one customer.
Detailed technical explanation
How to think about this question
In Customer Insights, KQL queries are executed against the unified customer data model (CDM) using Azure Data Explorer. The `sum()` function aggregates numeric values across rows matching the filter, and the `where` clause restricts the scope to a single customer. This is commonly used in real-world scenarios to retrieve a customer's lifetime value (LTV) for a specific profile card or dashboard tile.
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 Dynamics 365 Customer Insights — This question tests Describe Dynamics 365 Customer Insights — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: To calculate the total purchase amount for a specific customer — The KQL query shown in the exhibit uses the `sum()` aggregation function on the `PurchaseAmount` column, filtered by a specific `CustomerID`. This calculates the total purchase amount for that single customer. Option C is correct because the query explicitly sums purchase amounts for one customer, not for a segment or as a predictive model.
What should I do if I get this MB-910 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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