Quick Answer
The correct first step to resolve duplicate profiles is to run data unification with appropriate matching rules. This is because Microsoft Dynamics 365 Customer Insights is built with a dedicated data unification process that automatically identifies and merges duplicate customer records by applying configurable matching rules, such as matching on email addresses or phone numbers, without requiring manual cleanup or data export. On the MB-910 exam, this question tests your understanding of the platform’s native deduplication workflow, often appearing as a scenario where a retailer notices duplicate profiles across online and offline channels. A common trap is to select manual merging or exporting data to Excel, but the exam emphasizes that Customer Insights’ unification is the automated, recommended first step. Memory tip: think “Unify first, unify fast” — the platform’s matching rules do the heavy lifting before any other action.
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.
A retailer uses Customer Insights to track customer interactions across online and offline channels. They notice that some customers have duplicate profiles. What is the first step to resolve this?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "first"
Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
Export data to Excel and deduplicate there
Why wrong: Deduplication should be done within the platform.
Create a segment of duplicates
Why wrong: Segments do not merge profiles.
Delete the duplicate profiles manually
Why wrong: Manual deletion is not scalable; use unification.
Run data unification with appropriate matching rules
Unification merges duplicates based on rules.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Run data unification with appropriate matching rules
Option D is correct because Customer Insights provides a built-in data unification process that uses matching rules to identify and merge duplicate customer profiles. This is the recommended first step to resolve duplicates, as it leverages the platform's deduplication capabilities without manual intervention or data export.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Export data to Excel and deduplicate there
Why it's wrong here
Deduplication should be done within the platform.
Create a segment of duplicates
Why it's wrong here
Segments do not merge profiles.
Delete the duplicate profiles manually
Why it's wrong here
Manual deletion is not scalable; use unification.
Run data unification with appropriate matching rules
Why this is correct
Unification merges duplicates based on rules.
Clue confirmation
The clue word "first" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates may think manual deletion or export-based deduplication is faster, but the exam tests the understanding that Customer Insights has a dedicated, automated data unification feature designed specifically for this purpose.
Detailed technical explanation
Customer Insights' data unification process uses a two-step approach: first, it defines matching rules (e.g., based on email, phone, or name) to identify duplicate records, and then it merges them into a single unified profile with conflict resolution rules. Under the hood, this uses a probabilistic matching algorithm that can handle fuzzy matches, such as slight variations in names or addresses, ensuring high accuracy. In a real-world scenario, a retailer with thousands of duplicates would rely on this automated process to maintain data integrity across online and offline channels.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Describe Dynamics 365 Customer Insights — This question tests Describe Dynamics 365 Customer Insights — Read the scenario before looking for a memorised answer..
The correct answer is: Run data unification with appropriate matching rules — Option D is correct because Customer Insights provides a built-in data unification process that uses matching rules to identify and merge duplicate customer profiles. This is the recommended first step to resolve duplicates, as it leverages the platform's deduplication capabilities without manual intervention or data export.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "first". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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