Explanation:

🟢 Correct Option: B. Shelf Metrics
Shelf Metrics provide a detailed analysis of the shelf data captured through Vision Detection. This includes metrics such as planogram compliance, share of shelf, and out-of-stock items. By reviewing these metrics, a user can evaluate how accurately the system is identifying products and their placement on the shelf, which is a direct measure of the vision detection's performance.

🟢 Correct Option: E. Model Metrics
Model Metrics are essential for evaluating the performance of the Vision Detection AI model itself. These metrics, such as precision and recall, indicate how well the model is identifying objects in images. A high level of precision means the model is accurate in its classifications, while a high recall means it's identifying a large percentage of the items it should, both of which are key indicators of its overall accuracy.

🔴 Incorrect Option: A. Goods Metrics
Goods Metrics typically refer to data related to product movement and inventory, such as sales volumes, out-of-stock rates, and returns. While these metrics can be related to shelf performance, they do not directly measure the accuracy of the vision detection technology itself. They focus on the product's performance, not the system's ability to "see" it.

🔴 Incorrect Option: C. Planogram Metrics
Planogram Metrics specifically measure compliance with a predetermined planogram layout. While these metrics are a result of the vision detection process, they do not directly reflect the underlying accuracy of the model's ability to identify objects. Planogram metrics tell you if the shelf is set up correctly, not how well the AI model is detecting the items.

🔴 Incorrect Option: D. Object Metrics
While "Object Metrics" sounds relevant, it is not a standard, specific term used in the Salesforce Consumer Goods Cloud to refer to vision detection accuracy in the same way that "Shelf Metrics" and "Model Metrics" are. The platform's standard terminology focuses on the outcome (Shelf Metrics) and the performance of the AI model (Model Metrics).

➡️ Summary:
To review the accuracy of the Vision Detection system, a user must look at two key areas. First, they need to evaluate the Model Metrics, which directly assess the AI's performance in identifying objects. Second, they need to examine the Shelf Metrics, which provide the real-world, business-relevant results of the vision detection process, such as compliance and out-of-stock data, that validate the system’s effectiveness.

Reference:
Salesforce Official Documentation: Consumer Goods Cloud Vision

Explanation:

B. ✅ Create an Action Plan Template by specifying 'Visit' as the target object and publish it.
The fundamental step to linking Action Plans to any object is to first create an Action Plan Template and define that specific object (in this case, 'Visit') as its Target Object. This configuration is mandatory as it dictates which records the template can be attached to. Once published, this template can then be applied to Visit records.

Incorrect Option:

A. ❌ Create an Action Plan based on the template where the template owners are the Sales Reps.
While creating an Action Plan from a template is necessary, this step can only occur after the template itself has been correctly configured with 'Visit' as the target object. Setting template owners does not establish the crucial object linkage.

C. ❌ Activate the Visit to generate Action Plan Tasks.
Activating a Visit changes its status but does not automatically generate an Action Plan or its tasks. The Action Plan must be created and activated separately, and it must be based on a template that is already linked to the Visit object.

D. ❌ Activate the Action Plan.
Activating an Action Plan is the step that generates its individual tasks and sends them to the assigned users. However, this activation happens after the Action Plan has been created and attached to a specific Visit record, which itself requires the correct template configuration first.

Summary:
This scenario involves configuring automated task generation for field activities. The primary and required administrative action is to define the object relationship at the template level. Without a template explicitly designed for the Visit object, the system cannot create the necessary link between the two.

Reference:
Salesforce Help: Create an Action Plan Template

Explanation:
In Salesforce Industries (Communications Cloud), assetization is the process of creating Asset records from sold products. MACD orders involve modifying existing assets. To pass custom data between the QLI context (Object A) and the Asset context (Object B), you need a bidirectional mapping that works during both asset creation and later modifications.

Correct Option:

D. Use Object Mapper to map the line item object from A to B and another mapping from Object B to A.
This is the declarative, supported method.

Object Mapper is a tool in Salesforce Industries that defines how fields map between different objects during processes like assetization and order decomposition.

Mapping A → B ensures custom data flows from the QLI custom object (A) to the Asset custom object (B) during asset creation.

Mapping B → A ensures that when a MACD order is created from an existing asset, the data flows back from the Asset (B) to the new QLI (A) for modification.

This two-way mapping is essential for MACD scenarios.

Why Others Are Incorrect:

A. Write an APEX Hook Class during Checkout and AssetToOrder for creating the records as a post step on the API.
This is a custom code solution. While it might work, it is not the recommended best practice when a declarative tool (Object Mapper) exists. It also adds maintenance overhead and risk. The question implies a standard solution.

B. Use Object Mapper to Map the line item object from A to B.
This is only one-way (A → B). It would work for initial asset creation but would fail for MACD orders. When modifying an existing asset, data from B needs to populate the new line item (A), requiring the reverse mapping.

C. Use Field Mapper to map fields from Object A to B and another mapping from Object B to A.
Field Mapper is used for field-level transformations within a single object mapping, not for creating separate object-to-object mappings. The correct tool for object-to-object mapping is Object Mapper.

Reference:
In Salesforce Industries Order Management, Object Mapper is the declarative component used to define data transformations between objects (e.g., Quote Line Item → Asset, Asset → Order Product) during processes like assetization and order decomposition for MACD. Bidirectional mappings are standard for MACD support. This is covered in the "Data Mapping and Transformation" guides for Industries implementations.

Explanation:
Einstein Visit Recommendations in Consumer Goods Cloud (CGC) is a feature that uses Next Best Action (NBA) to suggest which stores a field representative (Rep) should visit next based on data-driven triggers, business logic, and predictive models. The system works by presenting these suggested actions (Recommendations) to the rep in the mobile app, which is orchestrated by a customizable Next Best Action Strategy. This allows administrators to define the precise rules and priorities for generating visit suggestions.

Correct Option:

D. Visit Recommendations can be created using the Next Best Action Strategy:
This is the official, out-of-the-box method for delivering Einstein Visit Recommendations to users.

The Next Best Action Strategy Builder is a declarative tool (like Flow Builder) where an administrator defines the logic to load, filter, and prioritize the Recommendation records (which are the visit suggestions), ensuring the rep sees the most valuable action at the right time.

Incorrect Option:

A. Visit Recommendations are automatically generated by recent case activities:
This is incorrect. While service case data could be used as input within an NBA strategy (e.g., "Recommend a visit if the store had a critical service case in the last 7 days"), the recommendations are not automatically generated solely from case activity; they are generated by running the defined NBA Strategy.

B. Visit Recommendations automatically take into consideration already created visits for the store:
This is generally true in practice to prevent double-visiting (Source 3.2 mentions this), but it's a constraint/filter applied within the strategy logic, not the defining characteristic of how recommendations are created. The core statement being tested is the foundational technology used for creation, which is NBA, making D the better answer.

C. Visit Recommendations rules consider the store operating hours:
The rules can and should consider store operating hours (e.g., a rule in the NBA Strategy might filter out recommendations if the store is closed). However, this is a business rule that must be explicitly configured within the NBA Strategy, not a blanket, default guarantee of the system's core function.

Reference:
Consumer Goods Cloud Setup Guide: Configuring Einstein Visit Recommendations using the Next Best Action Strategy.

Explanation:

Correct Options:

🟢 A. Viewing which products are included in the promotion
During a promotion check in Consumer Goods Cloud, field reps can view the products included in the promotion. This capability allows reps to verify that the correct products are displayed or sold as part of the promotion, ensuring compliance with the promotion’s requirements during store visits.

🟢 C. Taking a photo of the promotion
Field reps can take photos of the promotion setup during a promotion check. This standard capability in Consumer Goods Cloud helps document the promotion’s execution, such as display placement, for validation and reporting purposes.

Incorrect Options:

🔴 B. Marking the promotion as complete
Marking a promotion as complete is not a standard capability during a promotion check. While reps can complete tasks or visits, the promotion’s status is typically managed at a higher level, not directly in the field check process.

🔴 D. Changing the promotion planning dates
Field reps cannot change promotion planning dates during a promotion check. Planning dates are set during promotion configuration by managers or admins, not modified in the field, as this requires administrative access.

🔴 E. Changing the discounts on the products included in the promotion
Changing discounts on products is not a standard capability for field reps during a promotion check. Discounts are predefined in the promotion setup and managed by authorized users, not altered during field execution.

Summary: 📝
This question tests knowledge of standard capabilities for promotion checks in Consumer Goods Cloud. The scenario involves a field rep performing a promotion check during a store visit, focusing on verifying products and documenting execution with photos. Understanding these capabilities ensures effective promotion management in retail settings.

Reference: 📚
Salesforce Help: Promotion Checks