As part of a phased Salesforce rollout. there will be 3 deployments spread out over the year. The requirements have been carefully documented. Which two methods should an architect use to trace back configuration changes to the detailed requirements? Choose 2 answer

• A. Use the Force.com IDE to save the metadata files in source control.
• B. Maintain a data dictionary with the justification for each field.
• C. Review the setup audit trail for configuration changes.
• D. Put the business purpose in the Description of each field.

UC has multiple SF orgs that are distributed across regional branches. Each branch stores local customer data inside its org's Account and Contact objects. This creates a scenario where UC is unable to view customers across all orgs. UC has an initiative to create a 360-degree view of the customer, as UC would like to see Account and Contact data from all orgs in one place. What should a data architect suggest to achieve this 360-degree view of the customer?

• A. Build a bidirectional integration between all orgs.
• B. Use an ETL tool to migrate gap Accounts and Contacts into each org.
• C. Use Salesforce Connect's cross-org adapter.
• D. Consolidate the data from each org into a centralized datastore

Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard is not reliable for their real-time decision- making. On analysis, the team the following issues with data entered in Salesforce.
- Information in certain records is incomplete.
- Incorrect entry in certain fields causes records to be excluded in
report fitters.
- Duplicate entries cause incorrect counts.
Which three steps should a data architect recommend to address the issues?

• A. Explore third-party data providers to enrich and augment information entered in salesforce.
• B. design and implement data-quality dashboard to monitor and act on records that are incomplete or incorrect
• C. Periodically export data to cleanse data and import them back into Salesforce for executive reports.
• D. Leverage Salesforce features, such as validate rules, to avoid incomplete and incorrect records.
• E. Build a sales data warehouse with purpose-build data marts for dashboards and senior management reporting.

Universal Containers has a legacy system that captures Conferences and Venues. These Conferences can occur at any Venue. They create hundreds of thousands of Conferences per year. Historically, they have only used 20 Venues. Which two things should the data architect consider when denormalizing this data model into a single Conference object with a Venue picklist? Choose 2 answer

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

Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place. Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset. Which tool should a data architect recommend to accomplish this reporting requirement?

• A. Use Einstein Analytics for multi-org.
• B. Install a third-party AppExchange tool for multi-org reporting.
• C. Run standard reports and dashboards.
• D. Write a Python script to aggregate and visualize the data.