Consumer-Goods-Cloud-Accredited-Professional Salesforce Consumer Goods Cloud Accredited Professional (SP25) Free Practice Exam Questions (2025 Updated)

To ensure the field rep knows that the product is located in the frozen food aisle when performing an inventory check, the consultant should create an In-Store Location called Frozen Food Aisle’. An In-Store Location is an object that represents a specific area within a retail store, such as an aisle, a shelf, or a cooler. By creating an In-Store Location for the frozen food aisle, the consultant can associate it with the products that are stocked in that area and display it on the inventory check task. This way, the field rep can easily locate and verify the products in the frozen food aisle. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 20.

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 References: [Salesforce Consumer Goods Cloud Implementation Guide], page 37.

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.

The Click2Create function is a feature of Consumer Goods Cloud that allows a field rep to create a new retail store record from the mobile app by tapping on a point of interest on a map. This function automatically fills in the address fields with the data from the map and also allows the field rep to attach a follow up case or lead to onboard the outlet on an onboarding journey. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 34-35.

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.

Survey invitations associated with the visit, the Retail Store, and the Store Primary Contact are three survey invitations that are displayed in the In-Store Survey task during a visit. These survey invitations are relevant to the context of the visit and can help users to collect feedback from the store staff or customers. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 27.

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. There are three ways of performing a promotion check during an in-store visit:

General Promotion, which checks if any promotion is running at the store, regardless of the product or category involved.

Individual Product, which checks if a specific product is part of a promotion at the store.

Product Category, which checks if a group of products that belong to the same category are part of a promotion at the store. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 27-28.

In the Consumer Goods Cloud data model, several objects are linked to the Product2 object. These include Assortment Product, Assessment Task Product, and Promotion Product. This linkage is essential for comprehensive product management within the Consumer Goods Cloud.

These fields on the Retail Store object differentiate it from the Account object, providing specific information about store operations, preferred visit timings, and shipping details.

Two explanations for why no surveys are available when field reps try to complete a visit survey on their mobile devices are:

The Salesforce admin has not created and activated a Salesforce survey. A Salesforce survey is a questionnaire that can be sent to customers or contacts to collect feedback. The admin needs to create and activate a survey before it can be used in an in-store survey task.

A related survey invitation has not been generated. A survey invitation is an object that represents an invitation to take a survey. A survey invitation needs to be generated and associated with the visit, the retail store, or the store primary contact before it can be displayed in an in-store survey task. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 27.

Shelf Metrics allow a user to review the vision detection accuracy by comparing the actual shelf image with the expected planogram image. Model Metrics allow a user to review the vision detection accuracy by showing the confidence score and the number of detections for each object in the shelf image. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.

These statements ensure that the necessary data, such as KPIs and IDs, are available within the flow for accurately performing and tracking flow-based tasks.

An action plan is connected to a visit, which represents a scheduled or unscheduled interaction between a field rep and a retail store. A visit can have one or more action plans associated with it, depending on the tasks that need to be completed during the visit. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 25.

The nearby map component on the promotion records page allows a user to see which stores are running a promotion within their vicinity. This solution meets the requirement and also involves the least amount of custom development, as it is a standard feature of Consumer Goods Cloud. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 32.

The Einstein Vision model is a representation of how objects are detected and counted in an image. The model needs to be created as part of the development process using a base set of images. The base set of images should contain images of the products that need to be detected on the shelf, as well as labels and annotations for each product. The model is then trained and tested using these images and can be improved by adding more images or adjusting the parameters. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.

These steps are essential in setting up Einstein Vision for automatic product detection on shelves, involving enabling the feature, defining relevant tasks, and training the models with appropriate product images.

Quip Documents, Einstein Predictions, and Custom Object Task List are three components that can be added to a new page for the Consumer Goods Cloud mobile application. These components provide additional functionality and information for users in the field. They are:

Quip Documents, which allows users to access and collaborate on Quip documents within the app. Quip documents are cloud-based documents that can include text, images, spreadsheets, charts, and more.

Einstein Predictions, which allows users to see predictions and recommendations from Einstein AI based on their data and actions. For example, users can see predictions for sales revenue, product demand, or visit outcomes.

Custom Object Task List, which allows users to create and complete tasks related to custom objects within the app. Custom objects are objects that are defined and configured to suit specific business needs. Verified References: [Salesforce Consumer Goods Cloud Implementation Guide], page 40-41

Field Sales Managers can access photos taken by Field Reps of defective in-store assets through the asset record to which the photos are linked. This provides a direct association between the asset and its condition.

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.