MB-910 Describe Dynamics 365 Customer Insights Practice Question
You are troubleshooting a Customer Insights unification process that fails to match records that you know belong to the same customer. Both sources contain a common email field, but many emails are in different formats (e.g., 'john.doe@contoso.com' vs 'jdoe@contoso.com'). What should you do?
⚠ Common exam trap
Watch out — candidates often assume exact matching is sufficient for email fields, overlooking that Customer Insights' fuzzy matching with normalization is designed precisely to handle format variations and aliases without requiring manual preprocessing.
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
✓
Use fuzzy matching on email with normalization
Fuzzy matching with normalization allows Customer Insights to handle variations in email formats (e.g., 'john.doe@contoso.com' vs 'jdoe@contoso.com') by using similarity algorithms (like Levenshtein distance) and normalizing data (e.g., removing dots or case differences) to improve match accuracy. This directly addresses the mismatch caused by different email formats while still leveraging the email field for deduplication.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Remove the email condition from matching rules
Why it's wrong here
Removing a key condition reduces matching accuracy.
- ✗
Use exact match on email
Why it's wrong here
Exact match fails on different formats.
- ✗
Preprocess data to standardize email formats
Why it's wrong here
Not a direct Customer Insights feature.
- ✓
Use fuzzy matching on email with normalization
Why this is correct
Fuzzy match handles variations.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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