Northern Trail Outfitters (NTO) has implemented Salesforce for its sales users. The opportunity management in Salesforce 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 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 PPS integration to update only Opportunity Amount field when the value is null.
• B.Create a custom field for Opportunity amount that PPS updates separating the field sales user updates.
• C.Change Opportunity Amount field access to Read Only for sales users using field-level security.
• D.Create a custom field for Opportunity Amount that sales users update separating the field that PPS updates.

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Northern Trail Outfitters (NTO) is in the process of evaluating big objects to store large amounts of asset data from an external system. NTO will need to report on this asset data weekly.
Which two native tools should a data architect recommend to achieve this reporting requirement? (Choose two.)

• A.Async SOQL with a custom object
• B.Standard SOQL queries
• C.Einstein Analytics
• D.Standard reports and dashboards

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Northern Trail Outfitters (NTO) has the following systems:
Customer master-source of truth for customer information
Service cloud-customer support
Marketing cloud-marketing support
Enterprise data warehouse-business reporting
The customer data is duplicated across all these system and are not kept in sync. Customers are also complaining that they get repeated marketing emails and have to call into update their information.
NTO is planning to implement master data management (MDM) solution across the enterprise.
Which three data will an MDM tool solve?
Choose 3 answers

• A.Data loss and recovery
• B.Data standardization
• C.Data accuracy and quality
• D.Data completeness
• E.Data duplication

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Universal Containers (UC) uses the following Salesforce products:
Sales Cloud for customer management.
Marketing Cloud for marketing.
Einstein Analytics for business reporting.
UC occasionally gets a list of prospects from third-party source as comma-separated values (CSV) files for marketing purposes. Historically, UC would load contact Lead object in Salesforce and sync to Marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing Cloud to send marketing communications. The number of records in the Lead object has grown over time and has been consuming large amounts of storage in Sales Cloud, UC is looking for recommendations to reduce the storage and advice on how to optimize the marketing process.
What should a data architect recommend to UC in order to immediately avoid storage issues in the future?

• A.Load the CSV files in Einstein Analytics and sync with Marketing Cloud prior to sending marketing communications ;
• B.Load the CSV files in an external database and sync with Marketing Cloud prior to sending marketing communications.
• C.Load the contacts directly to Marketing Cloud and have a reconciliation process to track prospects that are converted to customers.
• D.Continue to use the existing process to use Lead object to sync with Marketing Cloud and delete Lead records from Sales after the sync is complete.

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Company S was recently acquired by Company
T. As part of the acquisition, all of the data for the Company S's Salesforce instance (source) must be migrated into the Company T's Salesforce instance (target). Company S has 6 million Case records.
An Architect has been tasked with optimizing the data load time.
What should the Architect consider to achieve this goal?

• A.Load the data in multiple sets using Bulk API parallel processes.
• B.Utilize the Salesforce Org Migration Tool from the Setup Data Management menu.
• C.Pre-process the data, then use Data Loader with SOAP API to upsert with zip compression enabled.
• D.Directly leverage Salesforce-to-Salesforce functionality to load Case data.

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