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| Section | Weight | Objectives |
|---|---|---|
| Visit Planning | 6% | - Territory management - Visit templates - Route planning |
| Platform | 10% | - Platform features relevant to Consumer Goods Cloud - Mobile capabilities |
| Visit Execution | 36% | - Planogram Check - Custom Task - Surveys - Promotion Check - Direct Store Delivery - Inventory Check |
| Data Setup | 36% | - Retail Store KPI Setup - Promotion Setup - Product Setup - Action Plan Setup - Planogram Setup - Store Setup |
| Integrations | 6% | - Integration with external systems - Data synchronization - Master data management |
| Analytics and Reporting | 6% | - Compliance tracking - Shelf share analysis - Retail execution KPIs |
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NEW QUESTION # 23
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: B,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 # 24
A consultant for Northern Trail Outfitters (NTO) company advises NTO to leverage Visit Recommendations for the field team. Which build option ensures the strategy is scalable to meet the requirements of NTO?
Answer: C
Explanation:
For a Visit Recommendation implementation that must scale to production business volumes, the recommendation-selection logic should be implemented using an Apex class.
Salesforce supports Flow-based strategies for Einstein Visit Recommendations, but its documentation explicitly states that the flow-only approach is not scalable for a business use case and recommends using Apex for scalable Visit Recommendation processing.
With Apex, a developer can implement the business logic needed to identify the Retail Stores for which Einstein should generate recommendations. The Apex method can be exposed through an invocable action and incorporated into the recommendation strategy or an associated flow. This architecture provides more control over bulk processing, complex filtering, governor-limit management, reusable logic, and enterprise- scale execution.
Salesforce ' s Visit Recommendation setup documentation supports both Flow and Apex approaches. It specifically provides an Apex-based option to select the list of stores for which recommendations should be generated and then use that Apex action within the recommendation framework.
Workflow Rules and Process Builder are not the supported architectural mechanisms for implementing scalable Einstein Visit Recommendation strategies.
Study Guide Topics:Visit Planning - > Einstein Visit Recommendations - > Apex - > Scalability - > Recommendation Strategy
NEW QUESTION # 25
Prior to rollout testing users find themselves failing all the test cases related to delivery tasks What is a potential reason for this?
Answer: A
Explanation:
A possible reason for failing all the test cases related to delivery 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 delivery Permission 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.
NEW QUESTION # 26
With which object is the promotion object directly associated?
Answer: A
NEW QUESTION # 27
Which two of the following allows a Consumer Goods Cloud user to review the vision detection accuracy?
Answer: A,B
Explanation:
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 Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 23-24.
NEW QUESTION # 28
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