Question 71
NTO need to extract 50 million records from a custom object everyday from its Salesforce org. NTO is facing query timeout issues while extracting these records.
What should a data architect recommend in order to get around the time out issue?
What should a data architect recommend in order to get around the time out issue?
Question 72
DreamHouse Realty needs an Architect to develop a solution that will integrate data and resolve duplicates and discrepancies between Salesforce and one or more external systems.
What are two important questions the Architect should answer when determining whether to use Master Data Management in the solution? (Choose two.)
What are two important questions the Architect should answer when determining whether to use Master Data Management in the solution? (Choose two.)
Question 73
Cloud Kicks often uses Data Loader to upsert Contact records into Salesforce to avoid creating duplicate Contacts.
Which is a common error to be aware of when using upsert?
Which is a common error to be aware of when using upsert?
Question 74
UC migrating 100,000 Accounts from an enterprise resource planning (ERP) to salesforce and is concerned about ownership skew and performance.
Which 3 recommendations should a data architect provide to prevent ownership skew?
Choose 3 answers:
Which 3 recommendations should a data architect provide to prevent ownership skew?
Choose 3 answers:
Question 75
Northern Trail Outfitters (NTO) has implemented Salesforce for its sales users. The opportunity management in Saiesforce Is implemented as follows:
1. Sales users enter their opportunities in Salesforce for forecasting and reporting purposes.
2. NTO has a product pricing system (PPS) that is used to update the Opportunity Amount field on opportunities on a daily basis.
3. PPS is the trusted source within NTO for Opportunity Amount.
4. NTO uses Opportunity Forecast for its sales planning and management.
Sales users have noticed that their updates to the Opportunity Amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overwriting issue?
1. Sales users enter their opportunities in Salesforce for forecasting and reporting purposes.
2. NTO has a product pricing system (PPS) that is used to update the Opportunity Amount field on opportunities on a daily basis.
3. PPS is the trusted source within NTO for Opportunity Amount.
4. NTO uses Opportunity Forecast for its sales planning and management.
Sales users have noticed that their updates to the Opportunity Amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overwriting issue?
