
SalesforceCertified Data Architect
Domain 3Objective 1
Compare and Contrast the Various Techniques, Approaches and Considerations for Implementing Master Data Management Solutions (e.g., MDM Implementation Styles, Harmonizing and Consolidating Data from Multiple Sources, Establishing Data Survivorship Rules, Thresholds & Weights, Leveraging External Reference Data for Enrichment, Canonical Modeling Techniques, Hierarchy Management). DATA-ARCHITECT Practice Questions (Page 3)
Part of the MASTER DATA MANAGEMENT domain, which accounts for 10% of the DATA-ARCHITECT exam.
33questions here
7free pages
7concepts
10%of the exam
Questions 11–15
- 11
An organization wants to identify duplicate customer records across multiple systems but does not need to store a consolidated master record. They only need a cross-reference of which records refer to the same customer. Which MDM implementation style should they choose?
Select an answer first - 12
A bank is consolidating customer data from two legacy systems. System A has high-quality, verified data but only covers 60% of customers. System B covers 100% of customers but has frequent data-entry errors. The matching algorithm identifies duplicates with a confidence score, and the bank needs to define survivorship rules. The data architect must balance data quality with coverage. Which survivorship strategy is most appropriate?
Select an answer first - 13
A healthcare organization is consolidating patient records from two clinics. The matching process identifies a pair of records with a confidence score of 85 out of 100, but a data steward notices that the records have different middle names and different addresses. The organization's policy requires a confidence score of at least 90 to auto-merge records. What should the data architect recommend?
Select an answer first - 14
In record matching, what does the 'threshold' represent?
Select an answer first - 15
A data architect is designing an MDM solution for a company that has just acquired another firm. The two companies have different customer data models and different product hierarchies. The architect needs to create a unified view for reporting while allowing each company to continue operating its own systems. Which approach best balances integration and operational independence?
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