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Salesforce Consumer-Goods-Cloud-Accredited-Professional Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Inventory and Stock Management	15-20%	- Inventory tracking features - Stock replenishment workflows - Product information management - Inventory reconciliation
Topic 2: Tasks and Activities Management	15-20%	- Task completion and tracking - Calendar integration - Activity types and templates - Task creation and assignment
Topic 3: Consumer Goods Cloud Overview and Configuration	15-20%	- Consumer Goods Cloud product overview and key capabilities - User licensing and permission sets - Consumer Goods Cloud architecture and data model - Configuration settings and administrative controls
Topic 4: Performance Analytics and Reporting	15-20%	- Pre-built reports and dashboards - KPI tracking and metrics - Custom report creation - Data visibility and sharing settings
Topic 5: Retail Execution	20-25%	- Store and account management - Visit planning and scheduling - Route optimization basics - Check-in and check-out workflows - GPS tracking and location services
Topic 6: Mobile Application Features	10-15%	- Consumer Goods Cloud mobile app overview - Offline capabilities - Digital asset access - Photo capture and attachments

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Salesforce Consumer Goods Cloud Accredited Professional Sample Questions (Q67-Q72):

NEW QUESTION # 67
Which two of the following allows a Consumer Goods Cloud user to review the vision detection accuracy?

A. Model Metrics
B. Object Metrics
C. Goods Metrics
D. Planogram Metrics
E. Shelf Metrics

Answer: A,B

Explanation:
Object Metrics and Model Metrics provide complementary mechanisms for evaluating the accuracy and performance of an Einstein object-detection implementation. Object-level metrics focus on how accurately individual object classes are being recognized, while model-level metrics provide an overall view of the trained model ' s predictive quality.
Salesforce ' s Einstein Vision model APIs expose model-performance information so administrators and developers can evaluate whether a trained model is sufficiently accurate for production use. Model metrics include measurements that quantify detection quality and allow implementers to identify weaknesses before relying on predictions operationally. Salesforce ' s Einstein Vision API specifically provides a Get Model Metrics operation for vision models, allowing performance information to be retrieved for an object-detection model.
Object-level analysis is equally important because overall accuracy can hide differences between individual classes. For example, a model may reliably identify one product but repeatedly confuse another product with visually similar packaging. Reviewing object-specific performance identifies those classification weaknesses and indicates where additional or improved training examples are required.
Together, Object Metrics and Model Metrics provide both granular and aggregate perspectives on detection accuracy, supporting systematic evaluation and refinement of product-recognition models.
Study Guide Topics:Platform - > Einstein Vision - > Object Detection - > Object Metrics - > Model Metrics -
> Detection Accuracy

NEW QUESTION # 68
Which permission set allows end-users to leverage the Einstein Visit Recommendation feature in Consumer Goods Cloud?

A. Tableau CRM Plus User
B. Tableau CRM Plus Admin
C. Retail Execution Lightning Plus
D. Action Plans
E. Lightning Direct Store Delivery

Answer: C

Explanation:
Retail Execution Lightning Plus provides the Retail Execution entitlement associated with strategic sales functionality in Consumer Goods Cloud. Einstein Visit Recommendations operate within the Retail Execution environment and help sales managers and field representatives determine which stores should be visited based on configurable recommendation strategies.
Salesforce documents the Lightning Retail Execution Plus permission set license as the Retail Execution license for Consumer Goods strategic sales users. The Retail Execution license framework provides access to Consumer Goods capabilities that are not included in the underlying Salesforce user license.
Einstein Visit Recommendations must also be enabled in Setup. Once configured, authorized sales managers and field representatives can create recommendation requests and schedule store visits based on the recommendations returned by Salesforce. Recommendation logic can be implemented using either a Flow strategy or a Next Best Action strategy, enabling organizations to align the feature with specific business- planning requirements.
CRM Analytics permission sets govern access to analytics applications and dashboards, while Lightning Direct Store Delivery provides access to DSD-specific functionality. Action Plans provide access to the Action Plan framework. For Visit Recommendation execution within Retail Execution, Retail Execution Lightning Plus is the applicable choice.
Study Guide Topics:Visit Planning - > Einstein Visit Recommendations - > Retail Execution Permissions - > Recommendation Strategies

NEW QUESTION # 69
Which KPIs can be derived using Planogram detection?

A. Out of Stock, Share of Shelf, SKU Facings
B. Out of Stock, Shelf Size, Brand Facings
C. Out of Stock, Share of Shelf, Brand Facings
D. Out of Stock,Shelf Size, SKU Facings

Answer: A

NEW QUESTION # 70
Universal Containers is using Communications Cloud for their B2B use cases. They have an integration with a legacy stack that will handle network provisioning and billing. As part of their Order Management process they have to send the customer data to the legacy app, which in turn provisions billing.
What should a Consultant recommend to make this callout easier to configure, easier to maintain, and performant?

A. Model the customer data to Technical Products along with other Products and Services and create Decomposition relationships accordingly to send the right information within the callout tasks.
B. Model the customer data as fields on Order and pass the fields along with the other attributes to the payload.
C. Create a custom integration adapter to fetch the customer info and pass it to the payload that will be sent to the external application.
D. Model the customer data as multi picklist attributes within the cart and create Decomposition relationships accordingly to send the right information within the callout tasks.

Answer: B

Explanation:
In Communications Cloud, integrations performed during Order Management-especially callouts for provisioning, billing, and customer synchronization-should use the Order object as the primary integration payload source. Salesforce's public Order Management design principles specify that customer data required for external provisioning should be modeled directly on the Order when the data is stable, required frequently, and does not belong to technical products.
This approach offers:
Simple configuration (fields on Order object rather than product attributes) High maintainability, because administrators can adjust mappings without changing product models or decomposition rules Performance efficiency, as Order-based callouts do not require deep decomposition navigation or attribute inheritance logic Clear separation of commercial vs. technical data, one of the core EPC principles Options C and D introduce unnecessary complexity. Customer data does not belong on Technical Products (C) nor should it be modeled as multi-picklist cart attributes (D), as these degrade performance and complicate decomposition. A custom adapter (A) adds code and contradicts Salesforce's declarative-first approach.

NEW QUESTION # 71
Where are the results (actual values) of Custom Task KPIs stored?

A. In the Visit Record
B. In the Retail Store KPI record
C. In the custom object.
D. In the Retail Visit KPI record

Answer: B

Explanation:
The results or actual values of Custom Task KPIs are stored in the Retail Store KPI record, centralizing data related to performance indicators.

NEW QUESTION # 72
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