Consumer-Goods-Cloud-Accredited-Professional Exam Questions With Explanations

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Salesforce Consumer-Goods-Cloud-Accredited-Professional Exam Sample Questions 2025

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2704 already prepared
Salesforce Spring 25 Release
70 Questions
4.9/5.0

Prior to rollout testing users find themselves failing all the test cases related to delivery tasks What is a potential reason for this?

A. The tester did not have the Lightning Retail Execution Plus Permission Set added

B. The tester did not have the lightning direct store delivery Permission Set added

C. The tester is outside the geofence for the store

D. The KPIs are too extreme and causing the system to fail

B.   The tester did not have the lightning direct store delivery Permission Set added

Explanation:

A possible reason for failing all the test cases related todelivery tasks is that the tester did not have the lightning direct store delivery Permission Set added. A Permission Set is a collection of settings and permissions that grant users access to various tools and features. The lightning direct store deliveryPermission Set is required for users who need to use the delivery task functionality and related objects, such as product transfers and shipments.

Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 29.

Where would a Consumer Goods Cloud Admin need to establish the expected value for the planogram metrics?

A. Retail Store KPI

B. Assessment Task Definition

C. Delivery Tasks

D. Assessment Indicator Definition

D.   Assessment Indicator Definition

Explanation:

Correct Option:

D. ✅ Assessment Indicator Definition
The Assessment Indicator Definition object is where an admin defines the specific criteria or metrics to be evaluated during a store visit, such as planogram compliance. This includes setting the expected value (e.g., "10 units"), the target, and the measurement unit for each metric, ensuring field reps know the standard to assess against.

Incorrect Option:

A. ❌ Retail Store KPI
Retail Store KPIs are used to track high-level performance metrics of a store over time, such as sales volume or sell-through rates. They are not used to define the expected values for specific, task-level planogram checks during an assessment.

B. ❌ Assessment Task Definition
This object defines the broader task to be performed during a visit, like "Check Planogram." However, it does not define the specific expected metric values; it simply groups together a set of individual Assessment Indicators.

C. ❌ Delivery Tasks
Delivery Tasks are related to the execution of a delivery, such as unloading products. They are part of the execution flow and are not used for defining expected values for planogram or audit metrics.

Summary:
This scenario involves configuring the details of a retail audit. To define what "good" looks for a planogram check, an admin must configure the Assessment Indicator Definition, which houses the specific expected values and targets for each measurable criterion.

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. 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

B. 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 occuruntil one of the three yearly releases.

C. 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

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

A.   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

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 CloudImplementation Guide], page 36.

Northern Trail Outfitters (NTO) would like to know if the high value assets placed in stores are compliant. If not compliant, NTO would like a boolean value generated to trigger an action plan forcorrection. What is the recommended approach to meet the customer's requirement and limit the amount of custom code?

A. Use an inventory check task with flow

B. Use a custom task with flow

C. Use a promotion check task with apex

D. Use a custom task with apex

A.   Use an inventory check task with flow

Explanation:
This approach allows for an efficient and code-minimal way to check compliance of high-value assets in stores and trigger correction action plans based on Boolean values.

What actions should a consultant take during setup to ensure Einstein Vision works when deployed to field users?

A. Build the model to be used and review its quality prior to deployment to support a positive first experience

B. Populate the custom object for Einstein optical character recognition so that the system can have a baseline to perform its AI

C. Assign a permission set for users who need to use Einstein to provide access to functionally

D. Upload a suppression data setfor known competitor products so Einstein can avoid the detection

E. Upload a data set for Einstein to leverage for object detection so the system can have a baseline to perform its AI

A.   Build the model to be used and review its quality prior to deployment to support a positive first experience
C.   Assign a permission set for users who need to use Einstein to provide access to functionally
E.   Upload a data set for Einstein to leverage for object detection so the system can have a baseline to perform its AI

Explanation:

To successfully deploy Einstein Vision for field users in Consumer Goods Cloud, a consultant needs to ensure that the AI model is properly built, trained, and accessible:

A. Build the model to be used and review its quality prior to deployment
Building and training the model on relevant images is crucial to achieve accurate detection.
Reviewing model quality before deployment ensures users have a positive first experience and trust the AI.

C. Assign a permission set for users who need to use Einstein to provide access to functionality
Users require explicit permissions to access Einstein Vision features.
Assigning the correct permission set ensures the functionality is available in their Salesforce apps.

E. Upload a data set for Einstein to leverage for object detection
Uploading a relevant training data set (images with labeled products) is necessary for the model to learn what to detect.
This baseline is essential for AI to function effectively.

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