Data 360 Consultant Identity Resolution Practice Question
Which THREE strategies should an enterprise architect recommend to maintain high data hygiene and prevent profile fragmentation in Data Cloud Identity Resolution? Choose 3 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
✓
Design hierarchical match rules moving from high-confidence exact matches to controlled fuzzy matches.
Maintaining data hygiene involves regular audits of match rules, standardizing incoming contact point formatting, and monitoring profile split/merge metrics over time.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Design hierarchical match rules moving from high-confidence exact matches to controlled fuzzy matches.
Why this is correct
Hierarchical match rules ensure high-confidence links are established before broader matches occur.
- ✓
Standardize contact point formatting and ensure consistent data quality at the source ingestion level.
Why this is correct
Clean source data improves matching reliability and prevents fragmentation.
- ✗
Disable identity resolution rulesets and rely exclusively on manual segmentation filters.
Why it's wrong here
Disabling rulesets eliminates unified profiles altogether.
- ✗
Manually delete unified link records every night using data transform SQL.
Why it's wrong here
Manual deletion of system link tables via SQL transforms is unsupported.
- ✓
Regularly audit match rules and unified profile metrics to detect unexpected over-merging or under-merging trends.
Why this is correct
Auditing metrics helps catch profile fragmentation or over-merging early.
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
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