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| Section | Weight | Objectives |
|---|---|---|
| Visit Planning | 23% | - Visit Plan and Visit Plan Targets - Territory Management - Visit Schedule and Frequency - Visit Planning Process |
| Store Execution | 15% | - Assortment Monitoring - Store Execution Process - Planogram Compliance - Store Survey and Feedback |
| Admin and Configuration | 12% | - Mobile Configuration - Reports and Dashboards - User Setup and Permissions - Consumer Goods Cloud Data Model |
| Visit Execution | 23% | - Order Capture and Order Submission - Promotion Check and Promotion Details - Visit Execution Process - Visit Tasks and Task Types - Photo Capture and Survey - Inventory Check and Product Listing |
| Visit Planning and Execution Configuration | 15% | - Configuration of Visit Tasks and Task Types - Configuration of Photo Capture and Survey - Configuration of Visit Plans and Visit Plan Targets - Configuration of Promotion Checks and Promotion Details - Configuration of Order Capture and Order Submission - Configuration of Inventory Checks and Product Listings |
| Store Execution Configuration | 12% | - Configuration of Store Execution Process - Configuration of Store Survey and Feedback - Configuration of Assortment Monitoring - Configuration of Planogram Compliance |
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NEW QUESTION # 90
Which statement is correct about Consumer Goods - Einstein Visit Recommendations?
Answer: D
Explanation:
Einstein Visit Recommendations support Next Best Action strategies for determining which retail stores should be recommended for visits. Salesforce allows administrators to configure a recommendation strategy that evaluates relevant records and business criteria and produces prioritized visit recommendations for sales managers and field representatives.
A Next Best Action strategy can load relevant data, apply business rules, generate scores and reasons, and return recommendations that support store-visit planning. When a user creates a Visit Recommendation Request, the selected recommendation strategy is executed for the specified store and date context. Salesforce can also incorporate prediction information from Einstein Discovery when organizations require model-based recommendations.
The architecture separates recommendation logic from visit execution. Administrators can therefore create multiple strategies for different business priorities-for example, prioritizing stores with declining inventory, important upcoming promotions, or revenue opportunities. Salesforce documentation specifically supports both flow-based strategies and Next Best Action strategies for Einstein Visit Recommendations, enabling organizations to select the implementation approach that aligns with their planning logic and scalability requirements.
Accordingly, the ability to create Visit Recommendations through a Next Best Action Strategy is a standard supported configuration.
Study Guide Topics:Visit Planning - > Einstein Visit Recommendations - > Next Best Action - > Recommendation Strategies - > Visit Prioritization
NEW QUESTION # 91
Sales Managers would like a map that shows which stores are running a promotion within their vicinity.
Which solution meets their requirement and also involves the least amount of custom development?
Answer: C
Explanation:
The Nearby Map component on the Promotion record page provides the required functionality through standard Salesforce Maps configuration with minimal custom development.
Salesforce specifically documents the use of a Nearby Map component for Consumer Goods scenarios.
Administrators create a Nearby Map configuration using an appropriate Maps layer and then place the Maps Nearby Maps component on a Lightning Record Page through Lightning App Builder. The layer determines which business records are displayed and how they are filtered.
For promotions, Salesforce gives this precise use case: administrators can configure a Nearby Map with a layer containing Retail Stores and place that component on the Promotion record page. When a sales manager views the Promotion record, the component displays retail stores participating in the promotion in a map- based interface. This allows the manager to visualize nearby participating stores without leaving the promotion context.
Because the capability is supplied through Salesforce Maps and Lightning App Builder, it avoids developing a custom visual mashup or modifying an unmanaged AppExchange package. Adding a generic map to the Home page would also lack the Promotion record context needed to display stores associated with the specific promotion.
Study Guide Topics:Visit Planning - > Salesforce Maps - > Nearby Map - > Promotion - > Retail Store Visualization
NEW QUESTION # 92
Which three fields are available on the Retail Store object that differentiate them from the Account object?
Answer: A,C,D
Explanation:
The Retail Store object includes retail-execution-specific attributes such as Delivery Method, Preferred Visit Hours, and Payment Method, which provide operational details required for managing field sales and distribution activities.
Delivery Method describes how orders are delivered to the store and supports logistics and Direct Store Delivery planning. Preferred Visit Hours identifies the periods during which field representatives should ideally visit the outlet and contributes to effective visit and route planning. Payment Method records the payment arrangement applicable to the retail location and supports store-specific commercial execution.
Salesforce ' s Retail Store data model explicitly includes fields corresponding to DeliveryMethod, PreferredVisitHoursText, and PaymentMethodId. It also contains attributes for delivery frequency, opening and closing times, recommended visit frequency, pricing strategy, primary contact, priority, and related retail- location information.
Shipping Address is a standard concept already available in the Account data model and therefore does not serve as a distinguishing Retail Store attribute. Operating Hours are handled through the broader operating- hours model and relationship rather than being one of the three specific Retail Store fields represented by the choices.
These store-specific attributes allow Agentforce Consumer Goods to distinguish the operational requirements of an individual physical outlet from its parent customer Account.
Study Guide Topics:Data Setup - > Retail Store - > Delivery Method - > Preferred Visit Hours - > Payment Method
NEW QUESTION # 93
For flow based tasks, which two statements are correct?
Answer: B,D
Explanation:
The Retail Execution assessment architecture uses Retail Store KPIs as the configuration basis for Retail Visit KPIs. Salesforce states that when an Action Plan Template is assigned to a Visit, Assessment Tasks are generated from the Assessment Task Definitions and Retail Visit KPI records are created based on the applicable Retail Store KPIs. This preserves the connection between the expected target configured centrally and the actual value captured during a specific visit.
Flows can also be associated with an Action Plan Template to support business-specific store activities.
Salesforce supports flow input parameters named visitId and assessmentTaskId. A flow can accept only visitId, only assessmentTaskId, both parameters, or no parameters depending on the activity being implemented. When the identifiers are used, Salesforce passes the current Visit and Assessment Task context into the flow so that the automation operates on the appropriate execution records.
This model keeps responsibilities clearly separated: Retail Store KPI contains the target context; Retail Visit KPI records the visit-specific assessment result; Assessment Task identifies the executable activity; and Visit establishes the retail engagement within which the task occurs.
Study Guide Topics:Visit Execution - > Flow Tasks - > Retail Store KPI - > Retail Visit KPI - > visitId - > assessmentTaskId
NEW QUESTION # 94
What does this out of the box Einstein Analytics dashboard inform about? Product Performance
Answer: B
Explanation:
The Product Performance dashboard is designed to help sales managers analyze how products, product categories, brands, and assortments are performing across the Consumer Goods organization. It provides detailed performance views that allow users to identify both strong and weak performers and then drill into the underlying metrics.
Salesforce states that the Product Performance dashboard analyzes product category, brand, product, assortment, and the impact of promotions on performance. Its Product page shows overall product trends and enables managers to identify high-performing products and analyze recently launched products. Its Category and Assortment pages provide equivalent analysis at those organizational levels.
Typical measures include revenue, quantity, average order value, store coverage, average compliance, and related sales-performance indicators. Salesforce specifically describes the dashboard as answering questions such as which products, categories, brands, and assortments are high-performing or least-performing.
Managers can drill into individual entities to investigate performance trends and identify where intervention or additional investment is appropriate.
Therefore, the dashboard gives the Sales Manager the ability to identify top- and low-performing products, categories, and assortments and investigate their performance in greater detail.
Study Guide Topics:Analytics - > Product Performance - > Product Categories - > Assortments - > Performance Analysis
NEW QUESTION # 95
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