Universal Containers (UC) has implemented Sales Cloud for its entire sales organization, UC has built a custom object called projects_c that stores customers project detail and employee bitable hours.
The following requirements are needed:
- A subnet of individuals from the finance team will need to access to
the projects object for reporting and adjusting employee utilization.
- The finance users will not access to any sales objects, but they will need to interact with the custom object.
Which license type a data architect recommend for the finance team that best meets the requirements?

• A. Sales Cloud
• B. Light Platform Start
• C. Lighting platform plus
• D. Service Cloud

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?

• A. Roll-up discount request amount at the line-item-level and line-item-level summary discount at the opportunity level.
• B. Update the master-detail relationships to lookup relationships in order to allow the discount amount to roll up.
• C. Remove the master-detail relationships and rely completely on workflow/triggers to summarize the discount amount.
• D. Use roll-up for the line-item-level summary and a trigger for the opportunity amount summary, as only one level roll-up is allowed.

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?

• A. The REST API to extract data as it automatically chunks records by 200.
• B. Ask SF support to increase the query timeout value.
• C. Use a custom auto number and formula field and use that to chunk records while extracting data.
• D. Use ETL tool for extraction of records.

Northern trail Outfitters (NTO) runs its entire out of an enterprise data warehouse (EDW), NTD's sales team starting to use Salesforce after a recent implementation, but currently lacks data required to advanced and opportunity to the next stage.
NTO's management has research Salesforce Connect and would like to use It to virtualize and report on data from the EDW within Salesforce. NTO will be running thousands of reports per day across 10 to 15 external objects.
What should a data architect consider before implementing Salesforce Connect for reporting?

• A. Maximum number for records returned
• B. Maximum page size for server-driven paging
• C. OData callout limits per day
• D. Maximum external objects per org

Get Cloudy Consulting needs to evaluate the completeness and consistency of contact information in Salesforce. Their sales reps often have incomplete information about their accounts and contacts. Additionally, they are not able to interpret the information in a consistent manner. Get Cloudy Consulting has identified certain ""key"" fields which are important to their sales reps. What are two actions Get Cloudy Consulting can take to review their data for completeness and consistency? (Choose two.)

• A. Run one report per key field, grouped by that field, to understand its data variability.
• B. Run a report that shows the percentage of blanks for the important fields.
• C. Run a report which shows the last time the key fields were updated.
• D. Run a process that can fill in default values for blank fields.