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.
Which THREE are prerequisites for setting up Customer Insights predictions? (Choose three.)
Unified customer profiles
Predictions run on unified data.
External data enrichment
Why wrong: Enrichment is optional.
Defined outcome (e.g., churn, purchase)
You must specify what to predict.
Real-time data streaming
Why wrong: Batch data is sufficient.
Sufficient historical data
Models need history to train.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Unified customer profiles
Unified customer profiles (Option A) are a prerequisite for Customer Insights predictions because predictions rely on a consolidated, single view of each customer derived from multiple data sources. Without unified profiles, the AI models cannot accurately associate behaviors, transactions, and attributes to individual customers, which is essential for generating reliable predictions like churn or purchase likelihood.
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.
Unified customer profiles
Why this is correct
Predictions run on unified data.
Related concept
Read the scenario before looking for a memorised answer.
External data enrichment
Why it's wrong here
Enrichment is optional.
Defined outcome (e.g., churn, purchase)
Why this is correct
You must specify what to predict.
Related concept
Read the scenario before looking for a memorised answer.
Real-time data streaming
Why it's wrong here
Batch data is sufficient.
Sufficient historical data
Why this is correct
Models need history to train.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates often confuse optional features like external data enrichment or real-time streaming as prerequisites, when in fact they are enhancements that can be added after the core prerequisites (unified profiles, defined outcome, and sufficient historical data) are met.
Detailed technical explanation
Customer Insights predictions use machine learning models that require a defined outcome (e.g., churn or purchase) to train on labeled historical data. The unified customer profile is built via the data unification process that matches and merges records using deterministic and probabilistic matching rules, creating a single customer entity (e.g., CustomerID). Sufficient historical data ensures the model has enough examples to learn patterns; Microsoft recommends at least 12 months of data for churn predictions to achieve statistical significance.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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: Unified customer profiles — Unified customer profiles (Option A) are a prerequisite for Customer Insights predictions because predictions rely on a consolidated, single view of each customer derived from multiple data sources. Without unified profiles, the AI models cannot accurately associate behaviors, transactions, and attributes to individual customers, which is essential for generating reliable predictions like churn or purchase likelihood.
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 24, 2026
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