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| Section | Objectives |
|---|---|
| Mobile and Offline Capabilities | - Offline synchronization and data handling - Mobile app usage for field reps |
| Visit Planning and Route Optimization | - Territory and route planning concepts - Scheduling and field rep optimization |
| Reporting and Analytics | - KPIs and retail execution metrics - Dashboards and performance tracking |
| Retail Execution | - In-store task management and compliance tracking - Store visits and field execution processes |
| Order Capture and Trade Promotion | - Order taking processes in Consumer Goods Cloud - Trade promotion management basics |
| Consumer Goods Cloud Fundamentals | - Core platform concepts and Consumer Goods Cloud positioning - Data model overview (accounts, retail stores, visits) |
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質問 # 47
Which of the following is accurate regarding the Einstein Vision model?
正解：B
解説：
The Einstein Vision model is a representation of how objects are detected and counted in an image. The model needs to be created as part of the development process using a base set of images. The base set of images should contain images of the products that need to be detected on the shelf, as well as labels and annotations for each product. The model is then trained and tested using these images and can be improved by adding more images or adjusting the parameters. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.
質問 # 48
Which permission set allows end-users to leverage the Einstein Visit Recommendation feature in Consumer Goods Cloud?
正解：E
解説：
The Retail Execution Lightning Plus permission set enables end-users to access and leverage the Einstein Visit Recommendation feature in Consumer Goods Cloud, enhancing visit planning and optimization.
質問 # 49
A Company by the name of Northern Trail Outfitters (NTO) leverages top industry professionals to manage direct store delivery. How should a consultant explain the power of Consumer Goods Cloud ' s Einstein for CG - Visit Recommendations feature to NTO?
正解：C
解説：
Einstein Visit Recommendations provide decision support for sales managers and field representatives by helping them determine which stores should receive attention and when those visits should be scheduled. The capability supplements the expertise of the field organization by presenting prioritized information derived from business rules and prediction insights.
Salesforce describes the feature as a mechanism for scheduling the right stores at the right time in order to maximize profit and deliver brand value. Visit Recommendations can identify stores that have not been serviced recently and present recommended visits that users can review and schedule. Managers remain responsible for deciding which recommendations to accept and for coordinating execution.
The recommendation architecture can use configurable flow strategies or Next Best Action strategies.
Organizations can tailor the logic to their own business requirements rather than relying on a mandatory external market-research dataset. This enables field professionals to focus their expertise on selling, merchandising, customer relationships, and execution while Salesforce surfaces relevant visit-planning intelligence.
The intended value is therefore workforce augmentation and improved prioritization-not replacement of experienced personnel.
Study Guide Topics:Visit Planning - > Einstein Visit Recommendations - > Recommendation Strategies - > Store Prioritization - > Field Productivity
質問 # 50
Where are the results (actual values) of Custom Task KPIs stored?
正解：A
解説：
The results or actual values of Custom Task KPIs are stored in the Retail Store KPI record, centralizing data related to performance indicators.
質問 # 51
Which three statements are Correct about Store Products?
正解：A、C、E
解説：
A Store Product represents the relationship between a Product2 record and a particular Retail Store or In- Store Location. This relationship supplies the store-specific product context required by several Retail Execution processes.
For Inventory Checks, Salesforce must determine which products are relevant to the store being visited. Store Product records provide that relationship, allowing the Inventory Check experience to present applicable products rather than the entire enterprise product catalog. The same store-level product context supports the Search and Scan experience, where field representatives locate a product directly or scan its barcode while performing an inventory assessment.
Store Products also contribute to order capture. Salesforce stores operational attributes on the Store Product relationship, including the associated Product, Retail Store, In-Store Location, default order quantity, and favorite-product indicator. These fields allow the order experience to identify products that are relevant to a specific outlet and facilitate efficient repeat ordering.
Salesforce distinguishes Store Product from Store Assortment: Store Product represents products directly associated with a store or in-store location, while assortments define broader groups of products eligible for sale.
Study Guide Topics:Data Setup - > Store Product - > Inventory Check - > Search and Scan - > Order Capture
質問 # 52
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