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| Section | Objectives |
|---|---|
| Topic 1: Order Capture and Trade Promotion | - Trade promotion management basics - Order taking processes in Consumer Goods Cloud |
| Topic 2: Reporting and Analytics | - KPIs and retail execution metrics - Dashboards and performance tracking |
| Topic 3: Retail Execution | - Store visits and field execution processes - In-store task management and compliance tracking |
| Topic 4: Visit Planning and Route Optimization | - Scheduling and field rep optimization - Territory and route planning concepts |
| Topic 5: Consumer Goods Cloud Fundamentals | - Data model overview (accounts, retail stores, visits) - Core platform concepts and Consumer Goods Cloud positioning |
| Topic 6: Mobile and Offline Capabilities | - Mobile app usage for field reps - Offline synchronization and data handling |
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NEW QUESTION # 75
A developer has modified the EPC price amount of one mobile device using the Product Designer from Communications Cloud. After the price has been changed, the developer wants to check the previous EPC price amount to track pricing metrics and get some forecast metrics.
How can the developer check the previous price amount on the mobile device?
Answer: D
Explanation:
To track pricing changes, Salesforce recommends enabling Field History Tracking on Price List Entry, which logs:
Old price
New price
User
Time of change
This is the simplest way to review previous pricing.
Why others are wrong:
A requires custom triggers-not recommended.
C EPC Project history tracks metadata changes, not price list values.
D Versioning is for product specifications, not PLE prices.
NEW QUESTION # 76
A B2B communications company routinely manages intricate product configurations with over 1000 line items, leading to notable operational complexities. The company is concerned about the performance and scalability of the solution as the order volume is expected to increase progressively.
Which Salesforce Communications Cloud solution would you recommend to streamline the configure, price, and quote (CPQ) process and address the customer's performance and scalability concerns?
Answer: A
Explanation:
For B2B telecom companies dealing with complex configurations exceeding 1000 line items, the only Salesforce Communications Cloud solution purpose-built for performance, scalability, and large enterprise quoting is Enterprise Sales Management (ESM).
ESM enhances the CPQ experience by supporting:
Extremely high cart volumes (hundreds to thousands of lines)
Multi-site, multi-location enterprise networks
Enterprise-grade discounting and contract structures
Scalable pricing, validation, and asset handlings
Better separation of commercial vs. technical configurations
Options A, C, and D do not address enterprise-scale CPQ needs with thousands of line items. Large Account Sales Management focuses on account planning, not CPQ performance. Multiplay Subscription Management and Multi-site CPQ do not solve the scalability challenge.
NEW QUESTION # 77
Which Action Plan Type should be selected when creating an Action Plan for Consumer Goods Cloud?
Answer: A
Explanation:
The Action Plan Type that should be selected when creating an Action Plan for Consumer Goods Cloud is Visit Execution. An Action Plan Type is a metadata record that defines the type and configuration of an action plan. An action plan is a set of tasks that need to be completed for a specific purpose or goal. The Visit Execution Action Plan Type is designed for Consumer Goods Cloud users who need to create action plans for their store visits. A visit is an interaction between a field rep and a retail store. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 25.
NEW QUESTION # 78
A consultant for the NTO retail stores would like to configure inventory checks related to products that are stocked in the frozen food aisle. What should the consultant do first to ensure the field rep knows that the product is located in the frozen food aisle?
Answer: C
Explanation:
The frozen food aisle should be modeled as an In-Store Location. In-Store Location represents a specific physical area inside a retail store where products are displayed, stored, or evaluated. Salesforce identifies aisles, shelves, checkout counters, endcaps, and back rooms as typical examples.
Once the Frozen Food Aisle record is created, products can be associated with that location through Store Product. Store Product establishes the relationship among the Retail Store, Product2, and the applicable In- Store Location. This gives the Inventory Check sufficient context to tell the field representative exactly where the product should be inspected.
The In-Store Location can also be assigned an In-Store Location Category. Categories make it possible to group equivalent locations across multiple stores and configure Retail Store KPIs consistently for a store group. For example, all frozen-food aisles could share a category and common inventory-assessment rules.
Adding a custom picklist or task/store record type would duplicate functionality already provided by the standard Consumer Goods data model. Product2 identifies the commercial product; it does not by itself describe the product ' s physical placement within an individual store.
Study Guide Topics:Data Setup - > In-Store Location - > Store Product - > Inventory Check - > Store Layout
NEW QUESTION # 79
A company is selling voice products to business customers. The other allows customers to select for rent or purchase up to 700 phone devices of various models. The product modeller intends to create a phone add-on product specification and add it as a child of the voice offer, with a cardinality that allows up to 700.
Which three statements are valid regarding the product model in this scenario?
Answer: C,D,E
Explanation:
In Salesforce Industries Enterprise Product Catalog (EPC), hierarchical product modeling with child specifications and cardinalities is natively supported, which makes option E correct. Defining a voice offer with a "phone add-on" child product and a cardinality of up to 700 leverages standard EPC capabilities such as product specifications, child relationships, and cardinality rules.
However, Salesforce guidance for EPC and Industries CPQ warns that very large cardinalities on child products can introduce performance and processing challenges, especially in high-volume telecom scenarios. During MACD (Modify, Add, Change, Disconnect) operations, every instance of the child product (each phone device) has to be evaluated, updated, and sometimes decomposed into order items or service orders. With hundreds of instances, this can lead to processing inefficiencies and long-running transactions, which supports statement A.
Additionally, although the model technically uses out-of-the-box features, extreme volumes (such as hundreds of children per parent) can stress the decomposition engine. Under heavy load or complex rule combinations, decomposition may time out or fail when the maximum number of instances are ordered, making C valid as well.
Option B is incorrect because EPC does support this pattern; flat-only modeling is not a requirement. Option D is incorrect because using OOTB features does not guarantee optimal MACD and decomposition behavior at very high instance volumes.
NEW QUESTION # 80
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