Northern Trail Outfitter has implemented Salesforce for its associates nationwide, Senior management is concerned that the executive dashboard are 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.Build a sales data warehouse with purpose-build data marts for dashboards and senior management reporting.
• C.Leverage Salesforce features, such as validate rules, to avoid incomplete and incorrect records.
• D.Periodically export data to cleanse data and import them back into Salesforce for executive reports.
• E.design and implement data-quality dashboard to monitor and act on records that are incomplete or incorrect

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All accounts and opportunities are created in Salesforce. Salesforce is integrated with three systems:
* An ERP system feeds order data into Salesforce and updates both Account and Opportunity records.
* An accounting system feeds invoice data into Salesforce and updates both Account and Opportunity records.
* A commission system feeds commission data into Salesforce and updates both Account and Opportunity records.
How should the architect determine which of these systems is the system of record?

• A.Whatever system updates the attribute or object should be the system of record for that field or object.
• B.Whatever integration data flow runs last will, by default, determine which system is the system of record.
• C.Account and opportunity data originates in Salesforce, and therefore Salesforce is the system of record.
• D.Data flows should be reviewed with the business users to determine the system of record per object or field.

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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?

• A.Change Opportunity Amount field access to Read Only for sales users field-level security.
• B.Create a custom field for Opportunity amount that sales users update separating the field that PPS updates.
• C.Change PSS integration to update only Opportunity Amount field when the value is null.
• D.Create a custom field for Opportunity amount that PSS updates separating the field sales user updates.

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Universal Containers has a public website with several forms that create Lead records in Salesforce using the REST API. When designing these forms, which two techniques will help maintain a high level of data quality?

• A.Do client-side validation of phone number and email field formats.
• B.Prefer picklist form fields over free text fields, where possible.
• C.Ensure the website visitor is browsing using an HTTPS connection.
• D.Use cookies to track when visitors submit multiple forms.

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Universal Containers (UC) is building a Service Cloud call center application and has a multisystem support solution. UC would like or ensure that all systems have access to the same customer information.
What solution should a data architect recommend?

• A.Make Salesforce the system of record for all data.
• B.Implement a master data management (MDM) strategy for customer data.
• C.Load customer data in all systems.
• D.Let each system be an owner of data it generates.

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