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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visit Execution | 23% | - Order Capture and Order Submission - Inventory Check and Product Listing - Visit Execution Process - Photo Capture and Survey - Visit Tasks and Task Types - Promotion Check and Promotion Details |
| Topic 2: Visit Planning and Execution Configuration | 15% | - Configuration of Order Capture and Order Submission - Configuration of Visit Plans and Visit Plan Targets - Configuration of Promotion Checks and Promotion Details - Configuration of Photo Capture and Survey - Configuration of Inventory Checks and Product Listings - Configuration of Visit Tasks and Task Types |
| Topic 3: Store Execution | 15% | - Assortment Monitoring - Planogram Compliance - Store Survey and Feedback - Store Execution Process |
| Topic 4: Store Execution Configuration | 12% | - Configuration of Store Survey and Feedback - Configuration of Assortment Monitoring - Configuration of Planogram Compliance - Configuration of Store Execution Process |
| Topic 5: Visit Planning | 23% | - Visit Schedule and Frequency - Visit Plan and Visit Plan Targets - Territory Management - Visit Planning Process |
| Topic 6: Admin and Configuration | 12% | - User Setup and Permissions - Reports and Dashboards - Consumer Goods Cloud Data Model - Mobile Configuration |
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NEW QUESTION # 52
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 # 53
Which KPIs can be derived using Planogram detection?
Answer: A
Explanation:
Out of Stock, Share of Shelf, and SKU Facings are three KPIs that can be derived using Planogram detection. A Planogram is a visual representation of how products should be arranged on a shelf. Planogram detection is a feature that uses Einstein Vision to compare the actual shelf image with the expected planogram image and calculate metrics such as:
Out of Stock, which measures the percentage of products that are missing from the shelf.
Share of Shelf, which measures the percentage of space occupied by a product or brand on a shelf.
SKU Facings, which measures the number of times a product SKU is visible on a shelf. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.
NEW QUESTION # 54
Which of the following is accurate regarding the Einstein Vision model?
Answer: D
Explanation:
An Einstein Vision object-detection model must be developed from a training dataset containing representative images of the objects that the model is expected to recognize. Model creation is therefore an implementation activity rather than something that occurs automatically from a single image or during ordinary field execution.
Salesforce ' s Einstein Vision development process begins by collecting representative training images. For object detection, each training example must also identify the relevant objects using bounding-box coordinates. The resulting examples are assembled into a dataset and submitted to the Einstein Vision training service. Training that dataset produces a model that can subsequently identify, classify, count, and locate corresponding objects in new images.
The quality and diversity of the base image set directly influence model performance. A sufficiently representative dataset must account for differences such as product orientation, lighting, shelf arrangement, packaging appearance, and surrounding objects. Salesforce also allows multiple models to be trained from evolving datasets so their performance can be evaluated and refined.
Consequently, the model is deliberately built during implementation from a prepared base dataset before it is incorporated into the field-execution process.
Study Guide Topics:Platform - > Einstein Vision - > Object Detection - > Training Dataset - > Model Creation
NEW QUESTION # 55
Which User persona manages day-to-day Retail Execution processes such as creating visits, creating tasks, and assigning visits to Field Representatives?
Answer: C
Explanation:
The Sales Manager persona is responsible for managing the day-to-day Retail Execution processes performed by the field organization. Salesforce explicitly defines the Sales Manager as a standard Retail Execution user who can create visits, create tasks, and assign visits to field representatives.
This division of responsibilities is fundamental to the Agentforce Consumer Goods operating model. Sales managers coordinate retail coverage and determine what activities field representatives should perform at each store. They typically work with Retail Stores, Visits, Action Plans, Assessment Task Definitions, and Action Plan Templates to organize execution activities. By contrast, field representatives have a more execution-focused role: they review assigned visits, complete assessment tasks, capture observations, process orders, and record the results of store activities.
The permission model is designed around these personas. Salesforce recommends establishing separate permission configurations for Sales Managers and Field Reps so that each role receives the appropriate object- level and feature access. Delivery representatives can also be configured separately when the organization uses Direct Store Delivery.
Consequently, responsibility for creating and coordinating visits and assigning field work belongs to the Sales Manager persona.
Study Guide Topics:Platform - > User Personas - > Sales Manager - > Visit Management - > Task Assignment
NEW QUESTION # 56
A company called Alpine is running a ' buy one get one free ' (BOGO) promotion for all energy bars and sending out merchandisers to ensure that their retail customers are running it correctly. At what level should Retail Store KPIs be defined for a promotional end cap audit and also to minimize records created?
Answer: D
Explanation:
Because the promotion applies to all energy bars, the Retail Store KPI should be configured at the Product Category level. Salesforce supports promotion checks at the Product Category, individual Product, and General Promotion levels. Product Category is the appropriate level when a promotional activity applies uniformly to a group of related products.
A category-level configuration minimizes administrative overhead because a single KPI configuration can represent the target for the complete energy-bar category rather than requiring individual KPI records for every SKU. Salesforce allows the administrator to associate a Product Category with a Retail Store KPI together with the Assessment Indicator Definition, Retail Store Group, In-Store Location Category, promotion, KPI type, and target value.
An SKU-level configuration would be appropriate when each individual product requires separate measurement or targets. In this scenario, however, the same BOGO promotion applies across the full energy- bar category, so SKU-specific records would unnecessarily increase data volume and maintenance.
Custom Context applies primarily to custom assessment tasks rather than standard promotion-check configuration. Consequently, Product Category provides the correct granularity while supporting scalable and maintainable Retail Store KPI administration.
Study Guide Topics:Data Setup - > Promotions - > Product Categories - > Retail Store KPI - > Promotion Checks
NEW QUESTION # 57
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