The correct answer is to review and adjust the match rules used during the data unification process. Duplicate customer profiles resolution in Customer Insights hinges on these match rules, which define how the system identifies that two records from different sources—like an online store and a loyalty program—belong to the same person. If the rules are too loose, such as allowing fuzzy matches on names without requiring an exact email match, or if key identifiers like phone numbers are missing, the unification process will fail to merge duplicates. On the MB-910 exam, this scenario tests your understanding of the data preparation phase in Customer Insights, often appearing as a troubleshooting question where the trap is to assume source data needs cleaning. Instead, remember that unification is rule-driven, not data-destructive. Memory tip: think of match rules as the gatekeeper—too wide a gate lets duplicates through, so tighten the criteria.
MB-910 Describe Dynamics 365 Customer Insights Practice Question
This MB-910 practice question tests your understanding of describe dynamics 365 customer insights. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 retail company uses Dynamics 365 Customer Insights to unify customer data from their online store, loyalty program, and in-store POS systems. After unification, they notice that some customers have duplicate profiles. What is the most likely cause and recommended action?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Review and adjust the match rules used during the data unification process
Duplicate profiles after unification typically occur when the match rules (deduplication rules) are not configured precisely enough to identify that two records represent the same customer. In Dynamics 365 Customer Insights, the unification process uses these rules to merge profiles based on attributes like email or phone; if the rules are too loose or missing key identifiers, duplicates persist. Adjusting the match rules—such as setting exact match on email or using fuzzy matching with appropriate thresholds—resolves the issue without altering source data.
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.
✗
Re-run the data unification process without any changes
Why it's wrong here
Re-running without changes will produce the same results.
✓
Review and adjust the match rules used during the data unification process
Why this is correct
Adjusting match rules can reduce false positives and improve deduplication accuracy.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
Manually delete duplicate customer records from the source systems
Why it's wrong here
Manual deletion is error-prone and not a recommended long-term solution.
✗
Contact Microsoft support to increase the deduplication limit
Why it's wrong here
Deduplication limits are not the issue; the problem is rule configuration.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume duplicates are a data quality issue requiring manual cleanup or a support escalation, rather than recognizing that the unification engine's match rules are the primary control for deduplication and must be tuned appropriately.
Detailed technical explanation
How to think about this question
Under the hood, Dynamics 365 Customer Insights uses a two-step unification process: first, it maps source attributes to a unified schema, then it applies deduplication rules (match conditions) to identify and merge duplicate profiles. The match rules support exact and fuzzy matching on fields like email, phone, or name, with configurable confidence thresholds; if thresholds are too low, false positives occur, and if too high, duplicates are missed. In a real-world scenario, a retail company might have customers using different email addresses across channels (e.g., 'john.doe@email.com' vs 'jdoe@email.com'), requiring fuzzy matching with a high similarity score to correctly merge without creating false duplicates.
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: Review and adjust the match rules used during the data unification process — Duplicate profiles after unification typically occur when the match rules (deduplication rules) are not configured precisely enough to identify that two records represent the same customer. In Dynamics 365 Customer Insights, the unification process uses these rules to merge profiles based on attributes like email or phone; if the rules are too loose or missing key identifiers, duplicates persist. Adjusting the match rules—such as setting exact match on email or using fuzzy matching with appropriate thresholds—resolves the issue without altering source data.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A retail company uses Dynamics 365 Customer Insights to unify customer data from their e-commerce platform, loyalty program, and in-store POS system. After data ingestion, they notice that the same customer appears with slightly different names and addresses across sources. Which feature should they use to resolve these duplicates and create a single customer profile?
medium
A.Data profiling
B.Activities
✓ C.Match and merge
D.Segments
Why C: Option C is correct because the 'Match and merge' feature in Dynamics 365 Customer Insights is specifically designed to identify duplicate customer records across different data sources (e-commerce, loyalty, POS) by using matching rules (e.g., fuzzy matching on name and address) and then merging them into a single, unified customer profile. This resolves the issue of slightly different names and addresses by deduplicating and consolidating the data.
Last reviewed: Jun 11, 2026
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