MB-910 Describe Dynamics 365 Customer Insights Practice Question
Exhibit
Refer to the exhibit.
{
"dataSourceId": "pos_system",
"entities": ["transactions"],
"unification": {
"matchConditions": [
{
"field1": "email",
"field2": "email_address",
"similarity": "exact"
}
]
}
}Refer to the exhibit. A Customer Insights data engineer is configuring data unification for a POS system. What is the purpose of the 'matchConditions' in this JSON?
⚠ Common exam trap
It's easy for candidates to confuse 'matchConditions' with data filtering or schema definition, because they see JSON and assume it's for general configuration, but the specific purpose is deduplication and identity resolution.
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
✓
To identify records that refer to the same customer
'matchConditions' in Customer Insights data unification JSON defines the rules (e.g., fuzzy matching on email, phone, or name) used to identify duplicate or related records across different data sources (like POS systems) that refer to the same customer. This is the core deduplication step in the data unification process, enabling a single customer view.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
To identify records that refer to the same customer
Why this is correct
Match conditions specify which fields to compare to determine if records belong to the same customer.
- ✗
To filter out incomplete transactions
Why it's wrong here
Match conditions do not filter data; they identify matches.
- ✗
To set the refresh schedule for the data source
Why it's wrong here
Refresh schedule is a separate configuration.
- ✗
To define the schema of the target entity
Why it's wrong here
Schema is defined elsewhere, not in match conditions.
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Senior Network & Security Engineer · founder of Courseiva
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