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Using Salesforce Maps, configure a Data Layer showing open opportunities is the best solution to meet the requirement of visualizing all open opportunities based on the location of the related Account. Salesforce Maps is a feature that allows users to view and manage their geographic data on an interactive map. A Data Layer is a layer of data that can be added to a map to show records from one or more objects based on filters and criteria. By using Salesforce Maps, configure a Data Layer showing open opportunities, Cloud Kicks sales representatives can see all open opportunities on a map based on the address fields of their related accounts, and perform actions such as creating tasks, logging calls, updating fields, etc.

Mass transferring the records to another role in the role hierarchy and removing the users from the role hierarchy are two solutions that can resolve the issue of making changes to the sharing model taking increasingly more time for users who own more than 10,000 records. A mass transfer is an operation that allows users to transfer ownership of multiple records from one user to another user at once. A role hierarchy is a structure that defines how users are organized and how data access is granted based on their roles. By mass transferring the records to another role in the role hierarchy, Cloud Kicks can reduce the number of records owned by each user and distribute them more evenly among other users in different roles. By removing the users from the role hierarchy, Cloud Kicks can prevent these users from inheriting access to records owned by other users in their role or below their role, which can slow down the sharing model changes.

These are the actions that can meet the requirement of restricting access to opportunities based on ownership and account association. Setting opportunity access on the role allows users to see opportunities owned by users below them in the role hierarchy, as well as opportunities associated with accounts they can access. Setting organization-wide defaults for opportunities to Private means that users can only access opportunities they own, unless they are granted access by other means, such as sharing rules or manual sharing. 

This is how the consultant can meet the requirement of excluding a custom field from Einstein Lead Scoring. Einstein Lead Scoring is a feature that uses artificial intelligence to assign scores to leads based on how likely they are to convert into opportunities. The scores are calculated based on a scoring model that analyzes various fields on leads and historical conversion data. Users can customize the scoring model by selecting or omitting fields that they want Einstein to consider or ignore when scoring leads. By omitting the custom field from the scoring model, the consultant can ensure that it does not affect the lead scores. Verified References: [Customize Your Scoring Model]