Valid Salesforce Consumer-Goods-Cloud-Accredited-Professional Exam Dumps, Latest Consumer-Goods-Cloud-Accredited-Professional Dumps Questions

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

Section	Weight	Objectives
Visit Planning	6%	- Territory management - Visit templates - Route planning
Integrations	6%	- Master data management - Integration with external systems - Data synchronization
Analytics and Reporting	6%	- Compliance tracking - Shelf share analysis - Retail execution KPIs
Platform	10%	- Mobile capabilities - Platform features relevant to Consumer Goods Cloud
Visit Execution	36%	- Inventory Check - Promotion Check - Direct Store Delivery - Planogram Check - Surveys - Custom Task
Data Setup	36%	- Store Setup - Planogram Setup - Action Plan Setup - Promotion Setup - Product Setup - Retail Store KPI Setup

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Salesforce Consumer Goods Cloud Accredited Professional Sample Questions (Q95-Q100):

NEW QUESTION # 95
Where are the results (actual values) of Custom Task KPIs stored?

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

Answer: B

Explanation:
Actual KPI values captured by a field representative during visit execution are stored in the Retail Visit KPI record. Salesforce separates KPI configuration from transactional execution data so that planned or target values remain distinct from values observed during individual visits.
The Retail Store KPI defines the target or expected value for a particular Assessment Indicator Definition. It provides the planning context, including the Retail Store Group, product or product category, In-Store Location Category, Custom Context, and target value. When an assessment task is generated for a visit, Salesforce creates the corresponding Retail Visit KPI records that represent the runtime measurements.
During execution, the field representative records the observed value. Salesforce stores fields such as the Actual Value, Target Value, Assessment Indicator Definition, Product, In-Store Location, and Custom Context on the Retail Visit KPI.
This architecture allows Salesforce to compare expected performance with actual field results across multiple visits. The custom object can supply the business context for a custom task, but it does not replace the Retail Visit KPI as the repository for actual assessment measurements.
Study Guide Topics:Data Setup - > Custom Tasks - > Retail Store KPI - > Retail Visit KPI - > Actual Values

NEW QUESTION # 96
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?

A. Modelling children with large cardinalities can result in processing inefficiencies for MACD operations.
B. Product model uses hierarchical modelling, which is natively supported in EPC.
C. Product model uses out-of-the-box features from EPC. Decomposition may fail when the maximum number of phone instances are ordered.
D. This type of modelling is not supported in EPC and modeller should follow a flat modelling technique.
E. Since the product model uses out-of-the-box features from EPC, MACD operations and decomposition are guaranteed to work well.

Answer: A,B,C

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 # 97
Which two standard capabilities are available when executing a promotion check in the field?

A. Marking the promotion as complete
B. Changing the discounts on the products included in the promotion
C. Changing the promotion planning dates
D. Viewing which products are included in the protection
E. Taking a photo of the promotion

Answer: D,E

Explanation:
A promotion check is a type of action plan task that allows a field rep to verify if a promotion is running correctly at a retail store. When executing a promotion check in the field, two standard capabilities are available: viewing which products are included in the promotion and taking a photo of the promotion. These capabilities help to ensure compliance and capture evidence of promotional execution. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 27-28.

NEW QUESTION # 98
Which three standard components are available for Assessment Task record pages when configuring Consumer Goods Cloud app screens?

A. Promotion Details
B. In Store Products
C. Cart Review
D. Promotion List
E. Inventory Check

Answer: B,D,E

NEW QUESTION # 99
A Company by the name of Northern Trail Outfitters(NTO) leverages top industry professionals to manage direct store delivery. How should a consultant explain the power of Consumer Goods Cloud's Einstein for CG- Visit Recommendations feature to NTO?

A. Consumer Goods Cloud Einstein for CG - Visit Recommendations feature is natively powered by market research data enabling comprises to target customers by leveraging big data and competitors performance
B. By adopting the Einstein for CG- Visit Recommendations with the consumer goods cloud, Professionals can focus on these work while having information served to them that will support them in being competitive
C. Einstein for Consumer Goods Cloud is a great tool,but like all software Consumer Goods Cloud is a work in progress. Updates to resolve the functionality gaps of professionals aren't likely to occur until one of the three yearly releases.
D. By adopting the Einstein for CG - Visit Recommendations on the Consumer Goods Cloud the existing workforce can be terminated and replaced with more affordable lay workers to increase margins

Answer: B

Explanation:
Einstein for CG- Visit Recommendations is a feature that uses artificial intelligence to suggest optimal store visits for field reps based on predefined rules and criteria. By adopting this feature with the consumer goods cloud, professionals can focus on their work while having information served to them that will support them in being competitive. For example, they can prioritize the most profitable or strategic stores, avoid unnecessary or redundant visits, and optimize their routes and schedules. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 36.

NEW QUESTION # 100
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