Quick Answer
The answer is data unification, the feature in Dynamics 365 Customer Insights that combines data from multiple sources into a single customer view. This is correct because data unification uses sophisticated matching and merging rules to identify and consolidate duplicate records from disparate systems like CRM, ERP, and transactional databases, resolving conflicts to create a single, 360-degree customer profile. On the Microsoft Dynamics 365 Fundamentals CRM MB-910 exam, this concept tests your understanding of how Customer Insights achieves a unified customer view, often appearing as a direct question about the feature responsible for merging data—a common trap is confusing it with data enrichment or segmentation, which happen after unification. Remember the memory tip: “Unify to identify”—unification is the first step to uniquely identify each customer across all sources.
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.
Which feature in Dynamics 365 Customer Insights allows you to combine data from multiple sources into a single customer view?
Data unification
Unification creates a single view of each customer.
Data export
Why wrong: Export sends data out of the system.
Data profiling
Why wrong: Profiling assesses data quality.
Data transformation
Why wrong: Transformation changes data format, not identity resolution.
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 in Dynamics 365 Customer Insights is the feature specifically designed to combine data from multiple sources—such as CRM, ERP, and transactional systems—into a single, unified customer profile. It uses matching and merging rules to identify and consolidate records that represent the same customer, resolving duplicates and creating a 360-degree view. This is the core mechanism for achieving a single customer view from disparate data sources.
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 unification
Why this is correct
Unification creates a single view of each customer.
Related concept
Read the scenario before looking for a memorised answer.
Data export
Why it's wrong here
Export sends data out of the system.
Data profiling
Why it's wrong here
Profiling assesses data quality.
Data transformation
Why it's wrong here
Transformation changes data format, not identity resolution.
Common exam traps
The trap here is that candidates often confuse data transformation (which modifies data format or structure) with data unification (which resolves identities across sources), but only unification creates a single, deduplicated customer view.
Detailed technical explanation
Under the hood, data unification in Customer Insights uses a two-step process: first, matching rules (based on fuzzy logic and configurable similarity thresholds) identify duplicate customer records across source tables; second, merging rules define how to consolidate conflicting attributes (e.g., using a 'most recent' or 'source priority' strategy). This process generates a unified customer entity that can be enriched with AI-driven insights like churn prediction or next best action. In a real-world scenario, a retailer might unify data from an e-commerce platform, a loyalty program, and a POS system to see that 'John Smith' in the web store is the same person as 'J. Smith' in the loyalty database.
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 in Dynamics 365 Customer Insights is the feature specifically designed to combine data from multiple sources—such as CRM, ERP, and transactional systems—into a single, unified customer profile. It uses matching and merging rules to identify and consolidate records that represent the same customer, resolving duplicates and creating a 360-degree view. This is the core mechanism for achieving a single customer view from disparate data sources.
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
This MB-910 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MB-910 exam.
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