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Salesforce Certified Platform Data Architect Sample Questions:

1. Universal Containers (UC) wants to ensure their data on 100,000 Accounts pertaining mostly to US-based companies is enriched and cleansed on an ongoing basis. UC is looking for a solution that allows easy monitoring of key data quality metrics. What should be the recommended solution to meet this requirement?

A) Implement Batch Apex that calls out a third-party data quality API in order to monitor Account data quality.
B) Implement an Apex Trigger on Account that queries a third-party data quality API to monitor Account data quality.
C) Use a declarative approach by installing and configuring Data.com Clean to monitor Account data quality.
D) Use declarative approach by installing and configuring Data.com Prospector to monitor Account data quality.

2. Universal Containers (UC) has an open sharing model for its Salesforce users to allow all its Salesforce internal users to edit all contacts, regardless of who owns the contact. However, UC management wants to allow only the owner of a contact record to delete that contact. If a user does not own the contact, then the user should not be allowed to delete the record. How should the architect approach the project so that the requirements are met?

A) Create a "before delete" trigger to check if the current user is not the owner.
B) Set the Sharing settings as Public Read Only for the Contact object.
C) Set the profile of the users to remove delete permission from the Contact object.
D) Create a validation rule on the Contact object to check if the current user is not the owner.

3. Universal Containers (UC) is concerned about the accuracy of their Customer information in Salesforce. They have recently created an enterprise-wide trusted source MDM for Customer data which they have certified to be accurate. UC has over 20 million unique customer records in the trusted source and Salesforce. What should an Architect recommend to ensure the data in Salesforce is identical to the MDM?

A) Load the Trusted Source data into Salesforce and run an Apex Batch job to find difference.
B) Leave the data in Salesforce alone and assume that it will auto-correct itself over time.
C) Use an AppExchange package for Data Quality to match Salesforce data against the Trusted source.
D) Extract the Salesforce data into Excel and manually compare this against the trusted source.

4. UC needs to load a large volume of leads into salesforce on a weekly basis. During this process the validation rules are disabled. What should a data architect recommend to ensure data quality is maintained in salesforce.

A) Ensure the lead data is preprocessed for quality before loading into salesforce.
B) Develop custom APEX batch process to improve quality once the load is completed.
C) Activate validation rules once the leads are loaded into salesforce to maintain quality.
D) Allow validation rules to be activated during the load of leads into salesforce.

5. DreamHouse Realty has a legacy system that captures Branch Offices and Transactions.
DreamHouse Realty has 15 Branch Offices. Transactions can relate to any Branch Office.
DreamHouse Realty has created hundreds of thousands of Transactions per year. A Data Architect needs to denormalize this data model into a single Transaction object with a Branch Office picklist. What are two important considerations for the Data Architect in this scenario?
(Choose two.)

A) Bulk API limitations on picklist fields.
B) Limitations on master-detail relationships.
C) Standard list view in-line editing.
D) Limitations on Org data storage.

Solutions: