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| Section | Objectives |
|---|---|
| Topic 1: Reporting and Analytics | - KPIs and retail execution metrics - Dashboards and performance tracking |
| Topic 2: Visit Planning and Route Optimization | - Territory and route planning concepts - Scheduling and field rep optimization |
| Topic 3: Mobile and Offline Capabilities | - Offline synchronization and data handling - Mobile app usage for field reps |
| Topic 4: Retail Execution | - In-store task management and compliance tracking - Store visits and field execution processes |
| Topic 5: Consumer Goods Cloud Fundamentals | - Core platform concepts and Consumer Goods Cloud positioning - Data model overview (accounts, retail stores, visits) |
| Topic 6: Order Capture and Trade Promotion | - Trade promotion management basics - Order taking processes in Consumer Goods Cloud |
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NEW QUESTION # 90
How can a merchandiser perform a check-in to log the arrival time and geo coordinates for an inventory-check appointment?
Answer: B
Explanation:
A merchandiser can perform a check-in to log the arrival time and geo coordinates for an inventory-check appointment by using the Salesforce Mobile App. The Salesforce Mobile App is a mobile version of Salesforce that allows users to access and use various features and tools on their mobile devices. A check-in is a feature that allows users to record their arrival at a location, such as a retail store, by using their device's GPS. A check-in can be performed by tapping the Check In button on the visit record in the Salesforce Mobile App. Verified Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 34.
NEW QUESTION # 91
Which two of the following allows a Consumer Goods Cloud user to review the vision detection accuracy?
Answer: C,D
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 # 92
Which two permissions should be enabled for users to view the Tableau CRM for Consumer Goods Cloud app?
Answer: B,C
Explanation:
These permissions ensure that users have the necessary access to view and interact with the Tableau CRM for Consumer Goods Cloud app, providing critical analytics and insights.
NEW QUESTION # 93
How is a promotion linked to a Retail Store?
Answer: A
Explanation:
Promotions are linked to Retail Stores through Promotion Channel records, which define the connection and details of the promotional activities.
NEW QUESTION # 94
ABC Cloud is using Communications Cloud's Order Management for provisioning and activations of services. As part of the integration with ERP, the ERP order identifiers are required to be saved in the synchronous response in the SFI order record for reference and troubleshooting purposes. A Consultant has started their design using existing Vlocity Process Libraries.
What solution should the Consultant propose to save the ERP order identifiers back to the Salesforce order record?
Answer: C
Explanation:
For integrations where the provisioning/ERP system returns an external order ID in a synchronous response, Salesforce recommends using the Response DataRaptor Bundle of the Integration Procedure or Process Library.
The Process Library already includes patterns for handling:
Create Order callouts
Handling synchronous responses
Mapping response fields into Salesforce objects (e.g., SFI Order, Fulfillment records) You simply extend the Response DataRaptor to:
Extract ERP Order Identifier from the response payload.
Save it onto the corresponding Salesforce Order record for audit and troubleshooting.
Why other options are incorrect:
B: Auto Tasks are for async flows; the requirement is synchronous.
C: Enhancing the OOTB adapter is not recommended-declarative DR bundles should be used.
D: Creating a separate GET callout is unnecessary because the identifier is returned in the synchronous CREATE response.
Thus, A is the Salesforce-recommended approach.
NEW QUESTION # 95
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