Sales-Cloud-Consultant Exam Dumps : Salesforce Certified Sales Cloud Consultant (Sales-Con-201)

To improve end-user adoption and address concerns regarding the new Sales Cloud platform, it’s effective to enlist the help of a champion. A champion is someone within the organization who can advocate for the system, bridge the gap between end users and the project team, and help align the solution with user needs.

Role of a Champion: Champions can provide valuable insights into end-user needs and help drive enthusiasm and acceptance among users by demonstrating the benefits of Sales Cloud.

Encouraging User Buy-In: By having someone who understands the system and user concerns, the consultant can adjust the implementation approach based on user feedback, improving adoption and satisfaction.

Option B (interviewing top-level executives) might miss the specific concerns of end users, and Option C (technical review with developers) focuses on technical aspects rather than user experience and adoption. For more information, refer to Salesforce’s User Adoption Strategies.

In Salesforce Sales Cloud, when working with Sales Territories, a territory model must be activated to view any reassigned accounts. This is because only an active territory model applies the defined territory account assignment rules to assign accounts. While a model is in the Planning state, it allows for setting up and testing, but changes are not applied to live data. Activation finalizes the model and makes the assignments visible and enforceable. This ensures that accounts are correctly reassigned based on the updated rules in the territory model.

For further information, refer to Salesforce documentation on Activating Territory Models.

Before implementing Einstein features such as Einstein Lead Scoring and Einstein Deal Insights, it is essential to run the Einstein Readiness Assessor. This tool evaluates the Salesforce org’s data to determine whether it meets the requirements for these Einstein features, ensuring that they will provide accurate and actionable insights.

Assessing Data Readiness: The Einstein Readiness Assessor checks if the data quality and quantity are sufficient for Einstein’s AI-driven insights, which is crucial for accurate scoring and predictions.

Informed Implementation Planning: Running the readiness assessment in a sandbox allows the consultant to understand any adjustments needed before enabling the features in production.

Option B (enabling Einstein Activity Capture in a developer org) and Option C (enabling both features in production) should be done only after confirming readiness. For more information, see the Einstein Readiness Assessor documentation.