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Data-Architect Questions and Answers

Question # 1

Universal Containers (UC) wants to capture information on how data entities are stored within the different applications and systems used within the company. For that purpose, the architecture team decided to create a data dictionary covering the main business domains within UC. Which two common techniques are used building a data dictionary to store information on how business entities are defined?



Use Salesforce Object Query Language.


Use a data definition language.


Use an entity relationship diagram.


Use the Salesforce Metadata API.




Question # 2

A large Automobile company has implemented SF for its Sales Associates. Leads flow from its website to SF using a batch integration in SF. The Batch job connects the leads to Accounts in SF. Customer visiting their retail stores are also created in SF as Accounts.

The company has noticed a large number of duplicate accounts in SF. On analysis, it was found that certain customers could interact with its website and also visit the store. The Sales associates use Global Search to search for customers in Salesforce before they create the customers.

Which scalable option should a data Architect choose to implement to avoid duplicates?


Create duplicate rules in SF to validate duplicates during the account creation process


Implement a MDM solution to validate the customer information before creating Accounts in SF.


Build Custom search based on fields on Accounts which can be matched with customer when they visit the store


Customize Account creation process to search if customer exists before creating an Account.




Question # 3

Universal Containers (UC) is concerned that data is being corrupted daily either through negligence or maliciousness. They want to implement a backup strategy to help recover any corrupted data or data mistakenly changed or even deleted. What should the data architect consider when designing a field -level audit and recovery plan?



Reduce data storage by purging old data.


Implement an AppExchange package.


Review projected data storage needs.


Schedule a weekly export file.