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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visit Planning | 23% | - Visit Planning Process - Visit Schedule and Frequency - Visit Plan and Visit Plan Targets - Territory Management |
| Topic 2: Admin and Configuration | 12% | - Mobile Configuration - User Setup and Permissions - Reports and Dashboards - Consumer Goods Cloud Data Model |
| Topic 3: Visit Planning and Execution Configuration | 15% | - Configuration of Photo Capture and Survey - Configuration of Inventory Checks and Product Listings - Configuration of Visit Plans and Visit Plan Targets - Configuration of Order Capture and Order Submission - Configuration of Visit Tasks and Task Types - Configuration of Promotion Checks and Promotion Details |
| Topic 4: Visit Execution | 23% | - Order Capture and Order Submission - Promotion Check and Promotion Details - Photo Capture and Survey - Visit Tasks and Task Types - Visit Execution Process - Inventory Check and Product Listing |
| Topic 5: Store Execution Configuration | 12% | - Configuration of Assortment Monitoring - Configuration of Store Execution Process - Configuration of Store Survey and Feedback - Configuration of Planogram Compliance |
| Topic 6: Store Execution | 15% | - Assortment Monitoring - Store Execution Process - Planogram Compliance - Store Survey and Feedback |
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NEW QUESTION # 31
A consultant for Northern Trail Outfitters (NTO) has been asked to setup Tableau CRM for Consumer Goods Cloud to gain insights into factors that might affect store sales.
Which Einstein Discovery story should the consultant select to address this concern?
Answer: B
NEW QUESTION # 32
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: B
Explanation:
For a scalable Visit Recommendation strategy, Salesforce recommends implementing the selection logic through an Apex class. Visit Recommendations can use programmable logic to determine which stores should receive recommendations based on organization-specific criteria, and Apex is appropriate when the strategy must operate at business scale.
Salesforce allows an Apex class to select the stores for which Einstein should provide Visit Recommendations. The Apex method is exposed to automation by using @InvocableMethod, after which the class can be invoked from the Visit Recommendation strategy or from an autolaunched flow.
Salesforce also supports a Flow strategy for Visit Recommendations, but its documentation specifically notes that the flow-only method is not scalable for a business use case and recommends using Apex for scalable implementations. An Apex implementation gives developers greater control over bulk processing, complex filtering, reusable business logic, and Salesforce governor-limit considerations.
The strategy can return the recommended Store IDs and recommendation reasons so sales managers and field representatives understand both which stores should be visited and why those stores have been prioritized.
Workflow and Process Builder are not the architecture Salesforce defines for this Visit Recommendation capability.
Study Guide Topics:Visit Planning - > Einstein Visit Recommendations - > Apex - > Invocable Methods - > Scalable Recommendation Strategies
NEW QUESTION # 33
Northern Trail Outfitters (NTO) places a high value on understanding how their endcaps are performing.
What should be recommended to NTO to ensure they can capture this data?
Answer: C
Explanation:
Endcaps should be represented as In-Store Locations and In-Store Location Categories, with Retail Store KPIs specifically configured for that merchandising context. This allows NTO to measure endcap performance independently from primary shelves, checkout counters, backrooms, or other store areas.
Salesforce ' s Agentforce Consumer Goods data model supports In-Store Location categories precisely for this purpose. Similar physical locations across stores can be categorized-for example, Endcap Displays-and Retail Store KPIs can then use that category to define the measurements and targets applicable to those locations.
Salesforce ' s own Retail Execution configuration examples demonstrate creating Retail Store KPIs specifically for the Endcap Displays category. A promotion-compliance KPI can include the Retail Store Group, Endcap Displays as the In-Store Location Category, the relevant Assessment Indicator Definition, Promotion, Product Category, and a Boolean target value. This allows field representatives to capture endcap- specific performance during visits while managers analyze the resulting Retail Visit KPI data separately.
Creating Retail Store record types or unrelated custom objects would not provide the appropriate KPI granularity. Dedicated KPI configuration for the endcap context uses the standard Consumer Goods data model and provides targeted merchandising measurement.
Study Guide Topics:Data Setup - > In-Store Locations - > Endcap Displays - > Retail Store KPI - > Assessment Indicators
NEW QUESTION # 34
How is a promotion linked to a Retail Store?
Answer: D
Explanation:
Promotions are linked to Retail Stores through Promotion Channel records, which define the connection and details of the promotional activities.
NEW QUESTION # 35
Which two of the following allows a Consumer Goods Cloud user to review the vision detection accuracy?
Answer: A,D
Explanation:
Shelf Metrics allow a user to review the vision detection accuracy by comparing the actual shelf image with the expected planogram image. Model Metrics allow a user to review the vision detection accuracy by showing the confidence score and the number of detections for each object in the shelf image. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.
QUES
NEW QUESTION # 36
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