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Data-Architect Exam
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Universal Containers (UC) requires 2 years of customer related cases to be available on SF for operational reporting. Any cases older than 2 years and upto 7 years need to be available on demand to the Service agents. UC creates 5 million cases per yr.
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:
Northern Trail Outfitters (NTO) wants to capture a list of customers that have bought a particular product. The solution architect has recommended to create a custom object for product, and to create a lookup relationship between its customers and its products.
Products will be modeled as a custom object (NTO_ Product__ c) and customers are modeled
as person accounts. Every NTO product may have millions of customers looking up a single product, resulting in a lookup skew.
What should a data architect suggest to mitigate Issues related to lookup skew?
Universal Containers (UC) has a multi-level master-detail relationship for opportunities, a custom opportunity line item object, and a custom discount request. UC has opportunity as master and custom line item object as detail in master-detail relationship. UC also has a custom line item object as master and a custom discount request object as detail in another master-detail relationship. UC has a requirement to show all sums of discounts across line items at an opportunity level. What is the recommended solution to address these requirements?