- A
Data unification
Data unification performs identity resolution and merges records into a unified profile.
- B
Measures
Why wrong: Measures are used to define KPIs, not to unify data.
- C
Data transformation
Why wrong: Data transformation is used for cleaning and shaping data, not for identity resolution.
- D
Enrichment
Why wrong: Enrichment adds external data to profiles, but does not resolve identities.
Quick Answer
The answer is the data unification process. This is correct because data unification in Dynamics 365 Customer Insights - Data is the specific feature designed to match and merge customer records from disparate sources—such as online transactions, loyalty programs, and social media—into a single, unified customer profile. It resolves identity conflicts by applying matching rules and deduplication to link records belonging to the same individual, creating a 360-degree view. On the MB-910 exam, this concept tests your understanding of how Customer Insights consolidates data for a complete customer picture; a common trap is confusing data unification with data ingestion or data enrichment, which happen earlier or later in the pipeline. Remember the mnemonic "Match, Merge, Master" to recall that unification first matches identities, then merges records, and finally produces a master profile.
MB-910 Describe Dynamics 365 Customer Insights Practice Question
This MB-910 practice question tests your understanding of describe dynamics 365 customer insights. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 - Data. They have multiple data sources: online transactions, loyalty program, and social media. They need to create a unified customer profile that resolves identities across these sources. Which process in Customer Insights should they configure to achieve this?
Answer choices
Why each option matters
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 - Data is the process that matches and merges customer records from multiple data sources (online transactions, loyalty program, social media) into a single, unified customer profile. It resolves identity conflicts by using matching rules and deduplication to link records belonging to the same individual across disparate systems, enabling a 360-degree view of the customer.
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.
- ✓
Data unification
Why this is correct
Data unification performs identity resolution and merges records into a unified profile.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Measures
Why it's wrong here
Measures are used to define KPIs, not to unify data.
- ✗
Data transformation
Why it's wrong here
Data transformation is used for cleaning and shaping data, not for identity resolution.
- ✗
Enrichment
Why it's wrong here
Enrichment adds external data to profiles, but does not resolve identities.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'Data transformation' (a preparatory step for cleaning data) with 'Data unification' (the actual identity resolution process), leading them to select transformation when unification is the correct answer.
Detailed technical explanation
How to think about this question
Under the hood, Data unification in Customer Insights uses a two-step process: first, 'Map' defines which fields from each source represent customer identifiers (e.g., email, phone, loyalty ID), and second, 'Match' applies fuzzy and exact matching rules (e.g., using similarity thresholds) to link records. A subtle behavior is that the system can handle partial matches and requires a 'deduplication' rule to prevent duplicate unified profiles, which is critical when sources have inconsistent data like typos in email addresses.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
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FAQ
Questions learners often ask
What does this MB-910 question test?
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: Data unification — Data unification in Dynamics 365 Customer Insights - Data is the process that matches and merges customer records from multiple data sources (online transactions, loyalty program, social media) into a single, unified customer profile. It resolves identity conflicts by using matching rules and deduplication to link records belonging to the same individual across disparate systems, enabling a 360-degree view of the customer.
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.
What is the key concept behind this question?
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
4 more ways this is tested on MB-910
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 - Data to unify customer data from multiple sources. After running the data unification process, they notice that some duplicate records were not merged. Which step in the data unification process should they review to adjust the matching rules?
easy- ✓ A.Match
- B.Ingest
- C.Merge
- D.Enrich
Why A: The Match step in Dynamics 365 Customer Insights - Data is where you define and configure matching rules (e.g., fuzzy matching, exact matching, or custom conditions) to identify duplicate records across unified data sources. If duplicates were not merged, the matching rules likely need adjustment—such as lowering the confidence threshold or adding additional fields—to improve duplicate detection. Reviewing the Match step allows you to refine these rules and ensure more accurate record unification.
Variation 2. A retail company wants to unify customer data from their e-commerce platform, loyalty program, and in-store POS system to create a single customer view. Which Dynamics 365 tool should they use?
easy- A.Dynamics 365 Customer Service
- B.Dynamics 365 Sales
- ✓ C.Dynamics 365 Customer Insights - Data
- D.Dynamics 365 Customer Voice
Why C: Option B is correct because Dynamics 365 Customer Insights - Data is specifically designed to unify customer data from multiple sources into a single customer profile. Option A is wrong because Customer Voice is for surveys. Option C is wrong because Sales is for managing sales processes. Option D is wrong because Customer Service is for customer support.
Variation 3. A retail company wants to unify customer data from their e-commerce platform, loyalty program, and in-store POS system to create a single customer profile. Which Dynamics 365 Customer Insights capability should they use?
easy- ✓ A.Data unification
- B.Power BI integration
- C.Marketing segmentation
- D.Customer Voice
Why A: Data unification is the correct capability because it is specifically designed to reconcile and merge customer records from disparate data sources—such as e-commerce platforms, loyalty programs, and POS systems—into a single, unified customer profile. This process uses matching rules, deduplication, and conflict resolution to create a 360-degree view of each customer, which is the core requirement described in the question.
Variation 4. A retail company wants to unify customer data from their e-commerce platform, in-store POS system, and loyalty program into a single customer profile in Dynamics 365 Customer Insights. Which step should they perform first?
easy- A.Configure the enrichment service
- B.Create a customer segment
- ✓ C.Ingest data sources into Customer Insights
- D.Define measures for key performance indicators
Why C: Before any unification, segmentation, or analysis can occur, the raw customer data from the e-commerce platform, POS system, and loyalty program must first be brought into Dynamics 365 Customer Insights. Option C, 'Ingest data sources into Customer Insights,' is the foundational step because the system requires the data to be present before it can perform identity resolution, create unified profiles, or apply any downstream processes like enrichment or measure calculation.
Last reviewed: Jun 24, 2026
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