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| Section | Objectives |
|---|---|
| Visit Planning and Route Optimization | - Scheduling and field rep optimization - Territory and route planning concepts |
| Mobile and Offline Capabilities | - Offline synchronization and data handling - Mobile app usage for field reps |
| Consumer Goods Cloud Fundamentals | - Core platform concepts and Consumer Goods Cloud positioning - Data model overview (accounts, retail stores, visits) |
| Order Capture and Trade Promotion | - Trade promotion management basics - Order taking processes in Consumer Goods Cloud |
| 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 |
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NEW QUESTION # 96
Which Lightning component can an admin add to a Consumer Goods assessment task record page?
Answer: C
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 Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 40.
NEW QUESTION # 97
How can admins review the performance of the Object Detection Model?
Answer: B
Explanation:
https://help.salesforce.com/s/articleView?id=sf.industries_einstein_object_detection_review_detected_objects.htm&type=5 Admins can review the performance of the Object Detection Model through Detected Objects, which are records that store the results of the object detection process. Detected Objects contain information such as the confidence score, the number of detections, and the bounding box coordinates for each object in an image. Admins can use reports and dashboards to analyze the Detected Objects data and evaluate the accuracy and performance of the Object Detection Model. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 24.
NEW QUESTION # 98
What does this out of the box Einstein Analytics dashboard inform about? Product Performance
Answer: B
Explanation:
The Product Performance dashboard is designed to help sales managers analyze how products, product categories, brands, and assortments are performing across the Consumer Goods organization. It provides detailed performance views that allow users to identify both strong and weak performers and then drill into the underlying metrics.
Salesforce states that the Product Performance dashboard analyzes product category, brand, product, assortment, and the impact of promotions on performance. Its Product page shows overall product trends and enables managers to identify high-performing products and analyze recently launched products. Its Category and Assortment pages provide equivalent analysis at those organizational levels.
Typical measures include revenue, quantity, average order value, store coverage, average compliance, and related sales-performance indicators. Salesforce specifically describes the dashboard as answering questions such as which products, categories, brands, and assortments are high-performing or least-performing.
Managers can drill into individual entities to investigate performance trends and identify where intervention or additional investment is appropriate.
Therefore, the dashboard gives the Sales Manager the ability to identify top- and low-performing products, categories, and assortments and investigate their performance in greater detail.
Study Guide Topics:Analytics - > Product Performance - > Product Categories - > Assortments - > Performance Analysis
NEW QUESTION # 99
Which three statements are Correct about Store Products?
Answer: C,D,E
Explanation:
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
NEW QUESTION # 100
Which of the following is accurate regarding the Einstein Vision model?
Answer: A
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 # 101
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