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NEW QUESTION # 76
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?
Answer: B
Explanation:
Einstein Visit Recommendations provide decision support for sales managers and field representatives by helping them determine which stores should receive attention and when those visits should be scheduled. The capability supplements the expertise of the field organization by presenting prioritized information derived from business rules and prediction insights.
Salesforce describes the feature as a mechanism for scheduling the right stores at the right time in order to maximize profit and deliver brand value. Visit Recommendations can identify stores that have not been serviced recently and present recommended visits that users can review and schedule. Managers remain responsible for deciding which recommendations to accept and for coordinating execution.
The recommendation architecture can use configurable flow strategies or Next Best Action strategies.
Organizations can tailor the logic to their own business requirements rather than relying on a mandatory external market-research dataset. This enables field professionals to focus their expertise on selling, merchandising, customer relationships, and execution while Salesforce surfaces relevant visit-planning intelligence.
The intended value is therefore workforce augmentation and improved prioritization-not replacement of experienced personnel.
Study Guide Topics:Visit Planning - > Einstein Visit Recommendations - > Recommendation Strategies - > Store Prioritization - > Field Productivity
NEW QUESTION # 77
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?
Answer: D
NEW QUESTION # 78
Which Lightning component can an admin add to a Consumer Goods assessment task record page?
Answer: B
Explanation:
https://help.salesforce.com/s/articleView?id=sf.retail_task_admin_create_assessment_task_record_page.htm&type=5
NEW QUESTION # 79
Universal Containers (UC) is a Communications Service Provider using Communications Cloud. They have completed testing the data migration by successfully loading the full data set into a Full Copy sandbox with no errors. They are now ready for the load into production.
What are two actions a Consultant should recommend once the load is completed in production?
Answer: C,D
Explanation:
Once a production data load is completed in Communications Cloud, Salesforce's public data-migration and go-live readiness recommendations emphasize two mandatory activities: (1) remediation of failed records, and (2) validation of loaded data. These activities ensure that production contains a complete, accurate, and trusted data set before the system is opened to business users.
Option B - Analyze and resolve any errors and re-load failed records
Even if a full-data migration completed successfully in a Full Copy sandbox, the production environment may still produce new failures due to data differences, unexpected validation rules, org-specific automation, or sequence dependencies. Salesforce migration best practices require analyzing the error logs generated by Data Loader, Bulk API, or middleware, correcting failed data, and performing targeted reloads. No migration is considered complete until every failed record has been addressed. This is a standard post-migration requirement in Communications Cloud given the volume and interdependencies between Accounts, Subscriptions, Service Accounts, Billing Accounts, Premises, Assets, Orders, and Fulfillment objects.
Option D - Validate volumes and spot-check correctness
After the load finishes, the consultant must validate that record counts in production exactly match expected totals from source systems, including number of Accounts, Billing Accounts, Service Accounts, Subscriptions, Premises, and Assets. Salesforce also recommends targeted spot checks-opening individual customer records, ensuring relationships are correct, asset hierarchies are intact, and subscription data is consistent. This ensures data integrity before cutover and user access.
Incorrect options:
A - Salesforce does not provide a data load report via support case; all logs come from the tools used during migration.
C - You cannot assume "all errors were resolved earlier." Every production load must be validated, and new issues frequently occur during the final cutover.
Therefore, the correct post-production-load actions are B and D.
NEW QUESTION # 80
A Field Rep is having challenges measuring their share-of-shelf due to a recent change in packaging to a competitor ' s product, which makes their products look almost identical. When using Einstein, the competitor
' s product was marked incorrectly as the rep ' s product. What should the rep do to prevent this from happening in the future?
Answer: A
Explanation:
The representative should edit the product tags so that the detected object is associated with the correct product classification. Accurate tagging is fundamental to maintaining reliable object-recognition results, particularly when two products have visually similar packaging.
Object detection identifies objects within an image and maps those detections to labels or product classes. If a competitor changes packaging so that its product resembles another SKU, the resulting classification can incorrectly increase the measured facings or share-of-shelf for the wrong product. Correcting the tag provides accurate classification information and helps maintain the integrity of the shelf measurement.
Salesforce ' s Einstein Vision architecture supports a feedback process for incorrectly classified objects. When an object-detection model misclassifies an image, corrected examples and labels can be added back to the dataset and used in subsequent training or retraining. Salesforce describes this feedback mechanism specifically as a way to improve models after misclassification.
Creating a new planogram would only alter the expected shelf arrangement and would not correct product identity. Turning competitor products around manipulates the physical merchandising environment rather than correcting the data. Canceling the task similarly fails to improve future recognition.
Study Guide Topics:Platform - > Einstein Object Detection - > Product Tags - > Classification - > Share-of- Shelf Accuracy
NEW QUESTION # 81
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