
SalesforceCertified Data Architect
Domain 2Objective 2
Given a Customer Scenario, Recommend Approaches for Improving Data Quality Along Key Dimensions (e.g., Data Duplication, Completeness, Accuracy, Integrity Etc.) Using Various Techniques (e.g., Data Assessment/profiling, Cleansing, Standardization/normalization, Matching & Merging, Declarative Components) in Salesforce (e.g., Validation Rules, Visual Indicators, Dependent Pick Lists, Etc.). DATA-ARCHITECT Practice Questions (Page 6)
Part of the CONCEPTUAL DESIGN domain, which accounts for 15% of the DATA-ARCHITECT exam.
30questions here
6free pages
10concepts
15%of the exam
Questions 26–30
- 26
A customer wants to ensure that users select valid combinations of Country and State on Contact records. Which approach is most appropriate?
Select an answer first - 27
Which scenario is best addressed by a validation rule?
Select an answer first - 28
What is the primary purpose of a validation rule in Salesforce?
Select an answer first - 29
In a dependent picklist, what is the field that determines the available values in another picklist called?
Select an answer first - 30
What is the primary purpose of a matching strategy in data quality management?
Select an answer first
Finished these 5 questions?
Review the revealed explanations, or continue through the curriculum.
No more pagesBack to DATA-ARCHITECT
Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Salesforce. “DATA-ARCHITECT” is a trademark of its owner, used for identification only.