MDM Cheat Sheet 2026

The 30 highest-yield MDM facts, distilled from real exam questions. Print it, save it as a PDF, or study it here — free, no sign-up.

1. Why is normalization important in data modeling? → It simplifies data structure and eliminates redundancies
2. What does 'trust decay' (downdate trust) represent in Informatica MDM? → Reduction in trust score as data ages over time without being refreshed
3. Which of these supports automated data synchronization? → Middleware tools like Mulesoft
4. What type of relationship is typically modeled in hierarchy management? → Parent-child
5. Which of the following ensures consistency during system-to-system updates? → Version control and transactional integrity
6. Which of the following is a key component of a master data model? → Entities, attributes, and relationships
7. Which of the following best defines data quality? → The usability and accuracy of data
8. What is a data quality dashboard? → A visual interface displaying data quality indicators
9. When multiple source systems contribute the same field during consolidation in Informatica MDM, how does the Hub resolve the winning value? → The value with the highest trust score is selected for the golden record
10. Which Informatica MDM feature allows data stewards to manually override the trust-based survivorship result for a specific field on the golden record? → Manual value pinning through Informatica Data Director (IDD)
11. What is the primary purpose of workflow configuration in MDM? → To define and automate business processes
12. Which role is responsible for approving tasks in a typical workflow configuration? → Data Steward
13. What does the 'Max Trust' setting define in Informatica MDM column trust configuration? → The upper limit of trust that data from a source system can achieve for that column
14. What is the valid range for trust scores in Informatica MDM Hub? → 0 to 100
15. Which metric is commonly used to evaluate data completeness? → Null value percentage
16. How can organizations improve data quality? → By implementing data validation and cleansing
17. What is the 'Best Version of Truth' (BVOT) in Informatica MDM? → The golden record composed of the highest-trust values from all contributing sources
18. What is the primary purpose of data integration in MDM? → To combine and consolidate data from multiple systems
19. How are hierarchy relationships validated in MDM? → By using validation rules and constraints
20. What is the benefit of a well-designed data model in MDM? → Ensures data consistency and reusability
21. How is the effective trust score for a field value generally calculated in Informatica MDM? → Base Trust + Validation Trust - Decay
22. What is a common challenge in integrating data from legacy systems? → Data format incompatibility
23. How does a task flow improve workflow execution? → By organizing and automating task sequences
24. In the MDM Hub Schema Manager, at which point are trust settings typically assigned to base object columns? → When configuring base objects and defining source system contributions
25. Which component is used to define hierarchy relationships in Informatica MDM? → Hierarchy Manager
26. Which statement correctly describes how Informatica MDM handles trust when a source system provides a null value for a configured column? → The behavior depends on the null handling configuration within the column's trust settings
27. What is the effect of setting a high decay rate for a source system's trust configuration in Informatica MDM? → The trust score will decrease more rapidly as time passes without a data refresh
28. What is the practical benefit of Trust Score Decay in real-world Informatica MDM implementations? → To reduce the influence of stale source data on the golden record over time
29. Why is metadata important in data governance? → It gives essential information about data’s structure and source
30. Which tool is commonly used for data integration in MDM environments? → Informatica PowerCenter