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| Section | Weight | Objectives |
|---|---|---|
| Store Execution Configuration | 12% | - Configuration of Store Survey and Feedback - Configuration of Planogram Compliance - Configuration of Assortment Monitoring - Configuration of Store Execution Process |
| Admin and Configuration | 12% | - Mobile Configuration - User Setup and Permissions - Reports and Dashboards - Consumer Goods Cloud Data Model |
| Visit Execution | 23% | - Photo Capture and Survey - Promotion Check and Promotion Details - Visit Tasks and Task Types - Order Capture and Order Submission - Inventory Check and Product Listing - Visit Execution Process |
| Store Execution | 15% | - Store Execution Process - Store Survey and Feedback - Assortment Monitoring - Planogram Compliance |
| Visit Planning | 23% | - Visit Plan and Visit Plan Targets - Visit Schedule and Frequency - Territory Management - Visit Planning Process |
| Visit Planning and Execution Configuration | 15% | - Configuration of Visit Tasks and Task Types - Configuration of Promotion Checks and Promotion Details - Configuration of Order Capture and Order Submission - Configuration of Photo Capture and Survey - Configuration of Inventory Checks and Product Listings - Configuration of Visit Plans and Visit Plan Targets |
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NEW QUESTION # 20
Northern Trail Outfitters wishes to use Tableau CRM as part of their Consumer Goods Cloud rollout. What data is required to support successful creation of the app?
Answer: D
Explanation:
A data requirement to support successful creation of the Tableau CRM app for Consumer Goods Cloud is that products must be associated to retail stores. This is because the Tableau CRM app analyzes the sales performance and product distribution across different stores and segments, and identifies opportunities and gaps for product placement and availability. Without associating products to retail stores, the app cannot provide accurate and meaningful insights. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 37.
NEW QUESTION # 21
A consultant for Northern Trail Outfitters (NTO) company advises NTO to leverage Visit Recommendations for the field team. Which build option ensures the strategy is scalable to meet the requirements of NTO?
Answer: B
Explanation:
For a scalable Visit Recommendation strategy, Salesforce recommends implementing the selection logic through an Apex class. Visit Recommendations can use programmable logic to determine which stores should receive recommendations based on organization-specific criteria, and Apex is appropriate when the strategy must operate at business scale.
Salesforce allows an Apex class to select the stores for which Einstein should provide Visit Recommendations. The Apex method is exposed to automation by using @InvocableMethod, after which the class can be invoked from the Visit Recommendation strategy or from an autolaunched flow.
Salesforce also supports a Flow strategy for Visit Recommendations, but its documentation specifically notes that the flow-only method is not scalable for a business use case and recommends using Apex for scalable implementations. An Apex implementation gives developers greater control over bulk processing, complex filtering, reusable business logic, and Salesforce governor-limit considerations.
The strategy can return the recommended Store IDs and recommendation reasons so sales managers and field representatives understand both which stores should be visited and why those stores have been prioritized.
Workflow and Process Builder are not the architecture Salesforce defines for this Visit Recommendation capability.
Study Guide Topics:Visit Planning - > Einstein Visit Recommendations - > Apex - > Invocable Methods - > Scalable Recommendation Strategies
NEW QUESTION # 22
United Telecom has completed the high-level design (HLD) phase and has information about the objects involved, data volumes, and file requirements.
Which three steps should a Consultant take to assess the storage needs on Communications Cloud?
Answer: A,D,E
Explanation:
During the High-Level Design (HLD) phase of a Communications Cloud implementation, Salesforce strongly recommends performing a storage assessment to ensure that data storage, file storage, and archival processes align with expected volumes. Public Salesforce architecture and data management guidance outlines three key tasks:
(A) Identify storage needs between data storage and file storage
Salesforce divides storage into Data Storage (records such as Accounts, Orders, Order Items, Subscriptions, Assets) and File Storage (documents, attachments, proofs, device images). A consultant must distinguish which objects consume which category because each impacts licensing and cost differently.
(D) Assess archiving strategy
Salesforce recommends establishing an archiving plan early to manage growth of high-volume objects (Orders, Order Items, Fulfillment Requests, Assets). Communications Cloud generates large order orchestration records, so storage must account for how data will be archived, purged, or externalized. This directly reduces storage consumption and improves performance.
(E) Calculate storage based on expected volumes and file requirements
Using volume estimates from HLD (records per month, attachment sizes, expected number of orders, subscriptions, assets), the consultant can calculate projected consumption for both data and file storage. This is standard planning guidance for Communications Cloud projects.
Options B and C are not part of Salesforce's required steps for determining org storage needs. Analyzing legacy storage (B) is helpful but not required for Salesforce storage estimation. Considering an external storage system (C) is optional and not part of Salesforce's recommended baseline steps.
NEW QUESTION # 23
Which statement is correct about Consumer Goods - Einstein Visit Recommendations?
Answer: B
Explanation:
Einstein Visit Recommendations support Next Best Action strategies for determining which retail stores should be recommended for visits. Salesforce allows administrators to configure a recommendation strategy that evaluates relevant records and business criteria and produces prioritized visit recommendations for sales managers and field representatives.
A Next Best Action strategy can load relevant data, apply business rules, generate scores and reasons, and return recommendations that support store-visit planning. When a user creates a Visit Recommendation Request, the selected recommendation strategy is executed for the specified store and date context. Salesforce can also incorporate prediction information from Einstein Discovery when organizations require model-based recommendations.
The architecture separates recommendation logic from visit execution. Administrators can therefore create multiple strategies for different business priorities-for example, prioritizing stores with declining inventory, important upcoming promotions, or revenue opportunities. Salesforce documentation specifically supports both flow-based strategies and Next Best Action strategies for Einstein Visit Recommendations, enabling organizations to select the implementation approach that aligns with their planning logic and scalability requirements.
Accordingly, the ability to create Visit Recommendations through a Next Best Action Strategy is a standard supported configuration.
Study Guide Topics:Visit Planning - > Einstein Visit Recommendations - > Next Best Action - > Recommendation Strategies - > Visit Prioritization
NEW QUESTION # 24
Which Three actions should a System Admin perform to set up a survey assessment task in the Consumer Goods Cloud?
Answer: C,D,E
Explanation:
These steps enable the setup of survey assessment tasks in Consumer Goods Cloud, ensuring the surveys are well-defined and integrated with retail store activities.
NEW QUESTION # 25
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