MDM Trust Framework and Confidence Scoring 1 — Questions and Answers
Question 1: What is the primary purpose of the Trust Framework in Informatica MDM Hub?
- To determine which source system contributes the most reliable data to the golden record (Correct answer)
- To encrypt sensitive data during transit between source systems
- To manage user authentication and role-based authorization
- To schedule batch jobs for data loading and synchronization
Correct answer: To determine which source system contributes the most reliable data to the golden record
The Trust Framework assigns confidence scores to data from different source systems to determine which values should survive into the golden (best version of truth) record.
Question 2: In Informatica MDM, at which level are trust settings configured in the Schema Manager?
- Database level
- Column level (Correct answer)
- Table level
- Source system level only
Correct answer: Column level
Trust settings in Informatica MDM are configured at the column level, allowing different trust configurations for each attribute depending on the source system.
Question 3: What is the valid range for trust scores in Informatica MDM Hub?
- 1 to 10
- 0 to 50
- 0 to 100 (Correct answer)
- -100 to 100
Correct answer: 0 to 100
Trust scores in Informatica MDM range from 0 to 100, where 100 represents maximum confidence and 0 represents no confidence in the data value.
Question 4: Which trust configuration parameter determines the initial confidence level assigned to data from a source system before validation rules are applied?
- Max Trust
- Validation Trust
- Base Trust (Correct answer)
- Override Trust
Correct answer: Base Trust
Base Trust is the initial confidence level assigned to data from a source system when it is first loaded, before any validation rules are evaluated.
Question 5: What does 'trust decay' (downdate trust) represent in Informatica MDM?
- Removal of trust scores for deleted records
- Reduction in trust score as data ages over time without being refreshed (Correct answer)
- Decrease in trust when a source system connection becomes unavailable
- Penalty applied when duplicate records are detected
Correct answer: Reduction in trust score as data ages over time without being refreshed
Trust decay represents the gradual reduction in a field's trust score as the data ages, reflecting the decreasing reliability of older information that has not been updated.
Question 6: What does the 'Max Trust' setting define in Informatica MDM column trust configuration?
- The initial trust score when data is first loaded from the source
- The trust bonus applied after a record passes validation rules
- The upper limit of trust that data from a source system can achieve for that column (Correct answer)
- The minimum trust required for a record to be promoted to the golden record
Correct answer: The upper limit of trust that data from a source system can achieve for that column
Max Trust defines the ceiling or upper limit of the trust score that data from a particular source system can achieve for a given column, preventing any single source from being over-trusted.
Question 7: When multiple source systems contribute the same field during consolidation in Informatica MDM, how does the Hub resolve the winning value?
- The most recently loaded record always wins by default
- The source system with the highest configured priority number always wins
- The value with the highest trust score is selected for the golden record (Correct answer)
- A random selection is made among records with equal timestamps
Correct answer: The value with the highest trust score is selected for the golden record
During consolidation, the MDM Hub selects the field value with the highest trust score to contribute to the golden (best version of truth) record.
MDM Trust Framework and Confidence Scoring 1
What is the primary purpose of the Trust Framework in Informatica MDM Hub?