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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Store Execution | 15% | - Store Execution Process - Store Survey and Feedback - Assortment Monitoring - Planogram Compliance |
| Topic 2: Visit Execution | 23% | - Visit Tasks and Task Types - Photo Capture and Survey - Inventory Check and Product Listing - Promotion Check and Promotion Details - Visit Execution Process - Order Capture and Order Submission |
| Topic 3: Admin and Configuration | 12% | - Consumer Goods Cloud Data Model - Reports and Dashboards - User Setup and Permissions - Mobile Configuration |
| Topic 4: Visit Planning and Execution Configuration | 15% | - Configuration of Inventory Checks and Product Listings - Configuration of Photo Capture and Survey - Configuration of Visit Tasks and Task Types - Configuration of Promotion Checks and Promotion Details - Configuration of Visit Plans and Visit Plan Targets - Configuration of Order Capture and Order Submission |
| Topic 5: Store Execution Configuration | 12% | - Configuration of Store Survey and Feedback - Configuration of Store Execution Process - Configuration of Assortment Monitoring - Configuration of Planogram Compliance |
| Topic 6: Visit Planning | 23% | - Visit Planning Process - Visit Plan and Visit Plan Targets - Visit Schedule and Frequency - Territory Management |
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NEW QUESTION # 12
What standard CG object is used in CG cloud to record information about a specific retail store within a given Retailer?
Answer: C
Explanation:
The Retail Store object represents an individual physical outlet within a retailer ' s organizational structure.
Salesforce deliberately separates the customer organization represented by Account from the physical selling locations where field representatives execute retail activities.
The Account object stores information about the retailer, distributor, wholesaler, or other customer organization, while Retail Store stores information about each physical store. Salesforce identifies Retail Store as the location where products are stored and sold.
A retailer can therefore have one Account associated with multiple Retail Store records. Each store can maintain its own operational characteristics, including location, delivery method, recommended visit frequency, store type, products, in-store locations, visits, orders, and other Retail Execution data. Retail Stores can also be organized into Retail Store Groups when multiple outlets share characteristics such as format, geographic area, size, or membership in a retail chain.
Assortments serve a different function: they define collections of products eligible or targeted for sale. They do not represent physical retail outlets. Therefore, Retail Store is the standard Consumer Goods object used to model each specific store operated within a retailer.
Study Guide Topics:Data Setup - > Account - > Retail Store - > Retail Store Group - > Retail Hierarchy
NEW QUESTION # 13
Universal Connect (UC) offers residential high-speed Internet to its customers. UC has a commercial attribute called "Access Type" on the internet offer with two values, namely DSL and Fiber. UC has a requirement to model routers as technical products and offer either a DSL or a Fiber router based on the "Access Type" value.
What kind of decomposition relationship should a Consultant recommend to achieve this requirement?
Answer: D
Explanation:
The requirement is:
A single commercial product (Internet)
Has an attribute Access Type = DSL or Fiber
Must decompose into the appropriate router technical product (DSL Router OR Fiber Router) This is a classic 1:M decomposition pattern, where one commercial product instance may decompose into one of many possible technical product instances, based on rules or attributes.
Using a 1:M decomposition with conditional rules:
If Access Type = DSL โ create DSL Router
If Access Type = Fiber โ create Fiber Router
Why others are incorrect:
1:1 (B): does not allow attribute-based branching into different technical products.
M:M (C): used for many-to-many relationships - not applicable here.
M:1 (D): merges multiple commercial products into a single technical product - opposite of what is required.
NEW QUESTION # 14
Which KPIs can be derived using Planogram detection?
Answer: D
Explanation:
Out of Stock, Share of Shelf, and SKU Facings are three KPIs that can be derived using Planogram detection. A Planogram is a visual representation of how products should be arranged on a shelf. Planogram detection is a feature that uses Einstein Vision to compare the actual shelf image with the expected planogram image and calculate metrics such as:
Out of Stock, which measures the percentage of products that are missing from the shelf.
Share of Shelf, which measures the percentage of space occupied by a product or brand on a shelf.
SKU Facings, which measures the number of times a product SKU is visible on a shelf. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.
NEW QUESTION # 15
Universal Containers has a requirement to establish dependencies between independent commercial products, such as ensuring that the 'Roaming Service' cannot be activated without first activating the 'Voice Service.' The provisioning system insists on receiving a single request for the activation of both products.
Which approach should the consultant recommend to ensure seamless integration and streamlined operations while addressing these business requirements?
Answer: D
Explanation:
Salesforce Communications Cloud supports product dependencies through Relies-On Relationships. These relationships enforce commercial dependencies (e.g., Roaming requires Voice Service) and guide technical decomposition so that dependent products are fulfilled together.
To satisfy the requirement that the provisioning system receive a single activation request for both Voice Service and Roaming, the dependency must be modeled using:
โ Relies-On Relationship
This ensures the commercial cart enforces prerequisite activation rules-Roaming cannot be purchased or activated without Voice Service.
โ Decomposition Scope = Order Item
When decomposition scope is set to Order-Item for the technical product relationship, both commercial products decompose into a single technical activation request for fulfillment. This is the exact Salesforce-recommended pattern when dependent commercial products must trigger one consolidated orchestration/activation flow.
Why other options are incorrect:
A (Scope = Account): would merge across the whole account, not just the order.
C (Scope = Relies-On): no such decomposition scope exists; invalid choice.
D (Bundle Product + Multilevel Decomposition): bundling is not required, and it changes the commercial product structure unnecessarily.
NEW QUESTION # 16
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: C
Explanation:
CRM Analytics for Agentforce Consumer Goods requires a minimum set of records before the Analytics for Consumer Goods app can be successfully created. Salesforce identifies the required data objects as Account, RetailStore, Visit, RetailVisitKpi, and Product2. An Order record is additionally required when the organization wants to include both Retail Execution and sales data.
The Retail Visit KPI requirement is particularly important because Retail Visit KPI records contain actual information captured during visits against the Assessment Indicator Definitions and targets configured for Retail Execution. These records provide the analytics layer with visit-level compliance and performance measurements that can be used in dashboards for store performance, product performance, territory analysis, and other Retail Execution insights.
Retail Visit KPI records are generated as part of the assessment-task process based on the underlying Retail Store KPI configuration. Salesforce therefore requires at least one RetailVisitKpi record in the organization when validating the data prerequisites for the CRM Analytics application.
The analytics setup process validates these minimum data requirements and displays a message when required records are missing.
Study Guide Topics:Analytics - > CRM Analytics for Agentforce Consumer Goods - > Data Requirements - > Retail Visit KPI - > Retail Execution Analytics
NEW QUESTION # 17
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