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| Section | Weight | Objectives |
|---|---|---|
| Retail Execution | 20-25% | - GPS tracking and location services - Visit planning and scheduling - Check-in and check-out workflows - Store and account management - Route optimization basics |
| Inventory and Stock Management | 15-20% | - Inventory tracking features - Inventory reconciliation - Product information management - Stock replenishment workflows |
| Tasks and Activities Management | 15-20% | - Task creation and assignment - Activity types and templates - Calendar integration - Task completion and tracking |
| Performance Analytics and Reporting | 15-20% | - Custom report creation - Pre-built reports and dashboards - KPI tracking and metrics - Data visibility and sharing settings |
| Consumer Goods Cloud Overview and Configuration | 15-20% | - Consumer Goods Cloud product overview and key capabilities - User licensing and permission sets - Consumer Goods Cloud architecture and data model - Configuration settings and administrative controls |
| Mobile Application Features | 10-15% | - Consumer Goods Cloud mobile app overview - Photo capture and attachments - Offline capabilities - Digital asset access |
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NEW QUESTION # 79
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: B
NEW QUESTION # 80
What 3 actions should a consultant take during setup to ensure Einstein Vision works when deployed to field users?
Answer: B,C,E
Explanation:
An Einstein object-detection implementation depends on three essential elements: a suitable training dataset, a properly trained and evaluated model, and appropriate user access to the functionality.
The implementation begins by collecting representative images of the products or objects that must be detected. For object detection, the training images require labeled bounding boxes identifying the position and dimensions of each object. These examples are uploaded as a dataset and used by the training process to create an object-detection model.
The trained model should then be evaluated before deployment. Salesforce ' s model-training architecture reserves data for testing and provides model information that allows implementers to evaluate the model ' s detection performance. Reviewing model quality before exposing the capability to field representatives is essential because representative training data and adequate model performance directly affect detection results.
Finally, the field users who execute the functionality require the relevant access and permissions. Permissions are part of the Salesforce security model and determine whether users can access the required Consumer Goods and Einstein functionality.
OCR configuration and competitor-suppression datasets are not baseline requirements for this object- detection setup.
Study Guide Topics:Platform - > Einstein Vision - > Object Detection - > Dataset - > Model Training - > User Permissions
NEW QUESTION # 81
Which two of the following allows a Consumer Goods Cloud user to review the vision detection accuracy?
Answer: A,B
Explanation:
Object Metrics and Model Metrics provide complementary mechanisms for evaluating the accuracy and performance of an Einstein object-detection implementation. Object-level metrics focus on how accurately individual object classes are being recognized, while model-level metrics provide an overall view of the trained model ' s predictive quality.
Salesforce ' s Einstein Vision model APIs expose model-performance information so administrators and developers can evaluate whether a trained model is sufficiently accurate for production use. Model metrics include measurements that quantify detection quality and allow implementers to identify weaknesses before relying on predictions operationally. Salesforce ' s Einstein Vision API specifically provides a Get Model Metrics operation for vision models, allowing performance information to be retrieved for an object-detection model.
Object-level analysis is equally important because overall accuracy can hide differences between individual classes. For example, a model may reliably identify one product but repeatedly confuse another product with visually similar packaging. Reviewing object-specific performance identifies those classification weaknesses and indicates where additional or improved training examples are required.
Together, Object Metrics and Model Metrics provide both granular and aggregate perspectives on detection accuracy, supporting systematic evaluation and refinement of product-recognition models.
Study Guide Topics:Platform - > Einstein Vision - > Object Detection - > Object Metrics - > Model Metrics -
> Detection Accuracy
NEW QUESTION # 82
Which Lightning component can an admin add to a Consumer Goods assessment task record page?
Answer: A
Explanation:
https://help.salesforce.com/s/articleView?id=sf.retail_task_admin_create_assessment_task_record_page.
htm&type=5
Inventory Check is a Lightning component that can be added to a Consumer Goods assessment task record page by an admin. An assessment task is a type of action plan task that allows users to collect data and perform actions related to a retail store. An inventory check is a type of assessment task that allows users to verify the availability and quantity of products in a store. The Inventory Check component displays the products that are associated with the store and allows users to search, scan, and update the product information. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 40.
NEW QUESTION # 83
Which two levels can promotions be defined within the Consumer Goods Cloud?
Answer: A,E
Explanation:
Promotions can be defined at the Product Category level or the individual Product level when the promotion has a product-specific commercial context. Salesforce also supports a general promotion with no product or product-category context, but among the listed options, Product Category and Product are the applicable promotion-definition levels.
A Product Category promotion applies the promotional activity to a collection of related products. This design is appropriate when the same commercial offer applies across an entire category, such as discounted beverages or energy bars. A Product-level promotion applies to one or more specific products, such as a new- product launch, sampling campaign, or SKU-specific discount.
Salesforce stores the relationship between a promotion and its individual products through Promotion Product.
For category-based promotions, the relationship is represented through Promotion Product Category. Account, Retail Store Group, and Retail Store describe the reach or channel through which a promotion is distributed rather than the product level at which the promotion itself is defined. These destinations are associated through the Promotion Channel model.
This separation allows administrators to independently define what products a promotion concerns and where the promotion applies.
Study Guide Topics:Data Setup - > Promotions - > Product Level - > Product Category Level - > Promotion Product
NEW QUESTION # 84
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