Quick Answer
The answer is data unification. This feature is correct because it is specifically designed to merge customer records from multiple data sources—such as separate CRM systems used by different business units—into a single, unified customer profile within Dynamics 365 Customer Insights. It accomplishes this by applying matching rules and deduplication logic to resolve identities across disparate systems, thereby enabling a comprehensive 360-degree view of each customer. On the MB-910 exam, this concept tests your understanding of how Customer Insights solves the common challenge of data fragmentation in multi-system environments; a frequent trap is confusing data unification with data enrichment or segmentation, which occur after profiles are already merged. Remember the memory tip: “Unify first, then enrich”—data unification is always the foundational step for creating a single source of truth before any analytics or personalization can begin.
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 company has multiple business units that each use a separate CRM system. They want to use Customer Insights to create a single view of customers across these systems. Which feature should they use?
Measures
Why wrong: Measures are for KPIs, not identity resolution.
Data sources
Why wrong: Data sources are inputs, not the process of combining.
Data unification
Unification merges records from different sources.
Segments
Why wrong: Segments group customers after unification.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Data unification
Data unification is the correct feature because it is specifically designed to merge customer records from multiple data sources (such as separate CRM systems) into a single, unified customer profile. This process uses matching rules and deduplication to resolve identities across disparate systems, enabling a 360-degree view of each customer.
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.
Measures
Why it's wrong here
Measures are for KPIs, not identity resolution.
Data sources
Why it's wrong here
Data sources are inputs, not the process of combining.
Data unification
Why this is correct
Unification merges records from different sources.
Related concept
Read the scenario before looking for a memorised answer.
Segments
Why it's wrong here
Segments group customers after unification.
Common exam traps
The trap here is that candidates confuse 'Data sources' (which only ingest data) with 'Data unification' (which merges and deduplicates), leading them to select the option that sounds like it handles multiple systems but actually only connects to them.
Detailed technical explanation
Under the hood, data unification in Customer Insights uses a multi-step process: data ingestion from sources, mapping to a common schema, and then running matching rules (e.g., fuzzy matching on email or phone) to identify duplicate records. The system then merges these duplicates into a single profile, preserving conflicting attributes through a 'winner' logic or manual override. In a real-world scenario, if a customer uses different email addresses across two CRM systems, unification can link them via a common phone number or name, preventing duplicate outreach.
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: Data unification — Data unification is the correct feature because it is specifically designed to merge customer records from multiple data sources (such as separate CRM systems) into a single, unified customer profile. This process uses matching rules and deduplication to resolve identities across disparate systems, enabling a 360-degree view of each customer.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
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 small business wants to unify customer data from their online store, email list, and social media interactions using Dynamics 365 Customer Insights. They have limited technical resources. What is the recommended first step?
easyWhy D: Option B is correct because starting with data unification (matching and merging) from existing sources is the foundational step. Option A is wrong because enrichment is optional after unification. Option C is wrong because measures are built after profiles are unified. Option D is wrong because segments are created after unification.
Last reviewed: Jun 11, 2026
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