Question 46
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:
Which 2 data archiving strategies should a data architect recommend? Choose 2 options:
Question 47
NTO uses salesforce to manage relationships and track sales opportunities. It has 10 million customers and
100 million opportunities. The CEO has been complaining 10 minutes to run and sometimes failed to load, throwing a time out error.
Which 3 options should help improve the dashboard performance?
Choose 3 answers:
100 million opportunities. The CEO has been complaining 10 minutes to run and sometimes failed to load, throwing a time out error.
Which 3 options should help improve the dashboard performance?
Choose 3 answers:
Question 48
Universal Containers has a large number of Opportunity fields (100) that they want to track field history on. Which two actions should an architect perform in order to meet this requirement? Choose 2 answers
Question 49
Universal Container (UC) has accumulated data over years and has never deleted data from its Salesforce org. UC is now exceeding the storage allocations in the org. UC is now looking for option to delete unused from the org.
Which three recommendations should a data architect make is order to reduce the number of records from the org?
Choose 3 answers
Which three recommendations should a data architect make is order to reduce the number of records from the org?
Choose 3 answers
Question 50
Universal Containers (UC) has over 10 million accounts with an average of 20 opportunities with each account. A Sales Executive at UC needs to generate a daily report for all opportunities in a specific opportunity stage.
Which two key considerations should be made to make sure the performance of the report is not degraded due to large data volume?
Which two key considerations should be made to make sure the performance of the report is not degraded due to large data volume?
