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| Section | Objectives |
|---|---|
| Consumer Goods Cloud Fundamentals | - Data model overview (accounts, retail stores, visits) - Core platform concepts and Consumer Goods Cloud positioning |
| Reporting and Analytics | - Dashboards and performance tracking - KPIs and retail execution metrics |
| Order Capture and Trade Promotion | - Order taking processes in Consumer Goods Cloud - Trade promotion management basics |
| Mobile and Offline Capabilities | - Mobile app usage for field reps - Offline synchronization and data handling |
| Retail Execution | - In-store task management and compliance tracking - Store visits and field execution processes |
| Visit Planning and Route Optimization | - Scheduling and field rep optimization - Territory and route planning concepts |
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NEW QUESTION # 38
Alpine, a Consumer Goods company, is sending new product introduction samples to outlets via their distributors who are using Alpine's field execution app. How can Alpine keep track of the inventory of the samples in the field?
Answer: A
Explanation:
To keep track of the inventory of the samples in the field, Alpine can create delivery tasks for the distributors and monitor their on hand inventory for the sample Product's Stock Keeping Unit (SKU). A delivery task is a type of action plan task that allows a field rep to deliver products to a retail store. A product SKU is a unique identifier for a product that can be scanned and tracked in inventory systems. By creating delivery tasks and monitoring product SKUs, Alpine can ensure that the distributors have enough samples to distribute and also track how many samples have been delivered to each store. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 28-29.
NEW QUESTION # 39
How would an order template for frequently bought products be created for a particular outlet?
Answer: B
Explanation:
For a particular retail outlet, frequently ordered products can be modeled through Store Product records and marked as Favorite. Store Product establishes the product-to-store relationship and provides outlet-specific ordering attributes that streamline repetitive order capture.
Salesforce ' s Consumer Goods data model includes both Is Favorite and Default Order Quantity on Store Product. This allows a frequently purchased SKU to be marked as a preferred product for the store and assigned the quantity that is normally ordered.
Salesforce Trailhead demonstrates this configuration directly. Administrators or sales managers associate products with a store or In-Store Location, select the Favorite checkbox, and optionally enter a Default Order Quantity. During order capture, field representatives can sort or filter for favorite products, helping them quickly locate the outlet ' s commonly purchased items and replenish them using the expected quantities.
This approach is outlet-specific because the favorite designation resides on the relationship between the product and the Retail Store rather than globally on Product2. It therefore accommodates situations where the same product may be frequently purchased by one store but not another.
Saved carts and Account-level assortment records do not provide this same store-specific favorite-product mechanism.
Study Guide Topics:Visit Execution - > Order Capture - > Store Product - > Favorite Products - > Default Order Quantity
NEW QUESTION # 40
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 # 41
When performing a search in an inventory check task which products are considered for the search?
Answer: A
Explanation:
When performing a search in an inventory check task, only the products that are associated with the retail store are considered for the search. This is because the inventory check task is designed to verify the availability and quantity of products in a specific store location. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 28.
NEW QUESTION # 42
Which three fields are available on the Retail Store object that differentiate them from the Account object?
Answer: A,D,E
Explanation:
The Retail Store object includes retail-execution-specific attributes such as Delivery Method, Preferred Visit Hours, and Payment Method, which provide operational details required for managing field sales and distribution activities.
Delivery Method describes how orders are delivered to the store and supports logistics and Direct Store Delivery planning. Preferred Visit Hours identifies the periods during which field representatives should ideally visit the outlet and contributes to effective visit and route planning. Payment Method records the payment arrangement applicable to the retail location and supports store-specific commercial execution.
Salesforce ' s Retail Store data model explicitly includes fields corresponding to DeliveryMethod, PreferredVisitHoursText, and PaymentMethodId. It also contains attributes for delivery frequency, opening and closing times, recommended visit frequency, pricing strategy, primary contact, priority, and related retail- location information.
Shipping Address is a standard concept already available in the Account data model and therefore does not serve as a distinguishing Retail Store attribute. Operating Hours are handled through the broader operating- hours model and relationship rather than being one of the three specific Retail Store fields represented by the choices.
These store-specific attributes allow Agentforce Consumer Goods to distinguish the operational requirements of an individual physical outlet from its parent customer Account.
Study Guide Topics:Data Setup - > Retail Store - > Delivery Method - > Preferred Visit Hours - > Payment Method
NEW QUESTION # 43
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