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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Setup | 36% | - Planogram Setup - Store Setup - Product Setup - Promotion Setup - Action Plan Setup - Retail Store KPI Setup |
| Topic 2: Analytics and Reporting | 6% | - Compliance tracking - Shelf share analysis - Retail execution KPIs |
| Topic 3: Visit Execution | 36% | - Promotion Check - Direct Store Delivery - Custom Task - Surveys - Inventory Check - Planogram Check |
| Topic 4: Integrations | 6% | - Master data management - Integration with external systems - Data synchronization |
| Topic 5: Visit Planning | 6% | - Route planning - Visit templates - Territory management |
| Topic 6: Platform | 10% | - Mobile capabilities - Platform features relevant to Consumer Goods Cloud |
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NEW QUESTION # 42
A consultant for Northern Trail Outfitters (NTO) company advises NTO to leverage Visit Recommendations for the field team. Which build option ensures the strategy is scalable to meet the requirements of NTO?
Answer: C
Explanation:
For a Visit Recommendation implementation that must scale to production business volumes, the recommendation-selection logic should be implemented using an Apex class.
Salesforce supports Flow-based strategies for Einstein Visit Recommendations, but its documentation explicitly states that the flow-only approach is not scalable for a business use case and recommends using Apex for scalable Visit Recommendation processing.
With Apex, a developer can implement the business logic needed to identify the Retail Stores for which Einstein should generate recommendations. The Apex method can be exposed through an invocable action and incorporated into the recommendation strategy or an associated flow. This architecture provides more control over bulk processing, complex filtering, governor-limit management, reusable logic, and enterprise- scale execution.
Salesforce ' s Visit Recommendation setup documentation supports both Flow and Apex approaches. It specifically provides an Apex-based option to select the list of stores for which recommendations should be generated and then use that Apex action within the recommendation framework.
Workflow Rules and Process Builder are not the supported architectural mechanisms for implementing scalable Einstein Visit Recommendation strategies.
Study Guide Topics:Visit Planning - > Einstein Visit Recommendations - > Apex - > Scalability - > Recommendation Strategy
NEW QUESTION # 43
Which methodology does Salesforce Maps offer to facilitate the addition of geocoordinates for each retail store location by an admin?
Answer: B
Explanation:
Salesforce Maps provides bulk geocoding capabilities so administrators can populate latitude and longitude values for groups of records rather than manually maintaining coordinates one retail location at a time.
Salesforce Maps geocodes records by matching address information against its geocoding provider and writing the corresponding latitude and longitude values back to the configured coordinate fields. A record can then be accurately plotted on a Maps layer and used for visit planning, route optimization, territory visualization, and proximity analysis.
One supported approach is to plot the records in a Maps layer and geocode the records represented by that layer. This enables administrators to work with a selected collection of Retail Store locations and perform the geocoding operation in bulk rather than copying coordinates from individual map markers.
Salesforce also supports scheduled or batch geocoding through Maps configuration for larger datasets, but within the workflow represented by the question, the Maps layer and mass geocoding action provide the direct administrative method for adding coordinates to the selected retail store records.
Accurate geocoding is foundational to Maps-based Retail Execution because route calculations and map visualization depend on verified geographic coordinates.
Study Guide Topics:Integrations - > Salesforce Maps - > Geocoding - > Retail Store - > Map Layers - > Mass Actions
NEW QUESTION # 44
Which KPIs can be derived using Planogram detection?
Answer: D
Explanation:
Planogram analysis focuses on measurable shelf-compliance indicators such as Out of Stock, Share of Shelf, and product facings. These metrics allow a consumer goods organization to determine whether products are available, whether they occupy the expected proportion of shelf space, and whether the required number of product faces are visible to shoppers.
Salesforce defines Planogram Check as an assessment task used to track product displays and evaluate shelf execution. For planogram-related Retail Store KPIs, Salesforce explicitly maps Assessment Indicator Definitions to KPI types. Product-facing measurements use Facings, share-of-shelf measurements use Share of Shelf, and stock-availability measurements use Out of Stock. The facing measure is associated with individual products or SKUs when the organization needs to determine the number of visible product facings.
The underlying planogram model associates the reference Image with an In-Store Location and connects products to that location. During execution, those relationships provide the product-specific context required to assess whether the shelf configuration conforms to the intended merchandising arrangement. Shelf size itself is not one of the supported KPI types for this planogram-compliance configuration.
Study Guide Topics:Visit Execution - > Planogram Check - > Share of Shelf - > Facings - > Out-of-Stock Compliance
NEW QUESTION # 45
Which User persona manages day-to-day Retail Execution processes such as creating visits, creating tasks, and assigning visits to Field Representatives?
Answer: A
Explanation:
A Sales Manager is the user persona that manages day-to-day Retail Execution processes such as creating visits, creating tasks, and assigning visits to Field Representatives. A Sales Manager is responsible for planning and overseeing the retail activities of a team of field reps, as well as analyzing and reporting on the performance and compliance of the retail stores in their territory. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 18.
NEW QUESTION # 46
An ABC Telecom customer ordered an internet bundle along with a router in their first order. At a later date, the customer ordered another internet bundle. Their existing router supports all services.
What should be the scope of the technical product so that the decomposition process generates fulfilment request lines (FRL) based on the existing inventory item?
Answer: A
Explanation:
In Salesforce Industries Order Management, the scope of a technical product determines how decomposition looks for existing assets or inventory items. When a customer already owns a device (such as a router) and later orders a new service that can reuse the same hardware, the decomposition engine must search across the customer's inventory at the account level, not the original order item or the top-level order item.
Public Salesforce Order Management documentation explains that Account Scope is used when the fulfillment system needs to evaluate inventory or assets that the customer already owns-for example, routers, ONTs, set-top boxes, SIM cards, or any CPE device. By setting the technical product to Account Scope, the decomposition engine checks the customer's entire installed base and finds the matching item, allowing it to generate the correct Fulfillment Request Lines (FRLs) without creating duplicates.
Other options do not support the scenario:
Order Item Scope and Top Order Item Scope only look at items within the current order and would not detect previously fulfilled devices.
Downstream Order Item Scope evaluates child order items but still only within that transaction.
Thus, only Account Scope ensures that the decomposition process properly references existing inventory and reuses the router rather than provisioning a new one, which is exactly what the scenario requires.
NEW QUESTION # 47
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