Data 360 Consultant Identity Resolution Practice Question
Which TWO factors should a consultant consider when designing match rules to prevent over-merging of customer profiles? Choose 2 options.
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
✓
Combining multiple attributes (e.g., First Name AND Last Name AND Postal Code) within a single match rule.
Preventing over-merging involves using high-specificity criteria and combining multiple attributes with AND logic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Running identity resolution jobs only once per year.
Why it's wrong here
Running jobs infrequently delays profile updates and does not fix over-merging logic.
- ✓
Combining multiple attributes (e.g., First Name AND Last Name AND Postal Code) within a single match rule.
Why this is correct
Combining attributes increases precision and reduces false positive matches.
- ✓
Using high-cardinality, unique identifiers like email addresses or specific party IDs.
Why this is correct
Unique identifiers ensure distinct individuals are not incorrectly merged due to shared common names.
- ✗
Disabling all contact point email mappings in the data model.
Why it's wrong here
Disabling email mappings removes valid matching capabilities entirely rather than tuning them.
- ✗
Setting the reconciliation rule to Most Recent across all attributes.
Why it's wrong here
Reconciliation rules control survivorship, not matching accuracy or over-merging.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Salesforce exam blueprint
This Data 360 Consultant practice question is part of Courseiva's free Salesforce 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 Data 360 Consultant exam.