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 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?
Data profiling
Why wrong: Data profiling analyzes data quality but does not merge duplicates.
Activities
Why wrong: Activities track interactions, not identity resolution.
Match and merge
Match and merge identifies and combines duplicate profiles.
Segments
Why wrong: Segments create groups of profiles, not deduplication.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Match and merge
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.
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.
Data profiling
Why it's wrong here
Data profiling analyzes data quality but does not merge duplicates.
Activities
Why it's wrong here
Activities track interactions, not identity resolution.
Match and merge
Why this is correct
Match and merge identifies and combines duplicate profiles.
Related concept
Read the scenario before looking for a memorised answer.
Segments
Why it's wrong here
Segments create groups of profiles, not deduplication.
Common exam traps
The trap here is that candidates often confuse 'Data profiling' (which only assesses data quality) with the actual deduplication and merging process, or they think 'Segments' can resolve duplicates by filtering, but neither performs identity resolution.
Detailed technical explanation
Under the hood, Match and merge uses configurable matching rules that can apply fuzzy logic (e.g., Levenshtein distance for names) and exact matches (e.g., email) to identify duplicates. The merge process then selects a 'survivor' profile (often the most complete record) and consolidates attributes from all matched records, while preserving historical activities. In a real-world scenario, a customer might have 'John Smith' in the e-commerce system and 'Jon Smith' in the loyalty program; Match and merge can link these using a confidence threshold, ensuring a single 360-degree view.
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
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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: Match and merge — 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.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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