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| Section | Objectives |
|---|---|
| Visit Planning and Route Optimization | - Scheduling and field rep optimization - Territory and route planning concepts |
| Reporting and Analytics | - KPIs and retail execution metrics - Dashboards and performance tracking |
| Retail Execution | - In-store task management and compliance tracking - Store visits and field execution processes |
| Order Capture and Trade Promotion | - Order taking processes in Consumer Goods Cloud - Trade promotion management basics |
| Consumer Goods Cloud Fundamentals | - Data model overview (accounts, retail stores, visits) - Core platform concepts and Consumer Goods Cloud positioning |
| Mobile and Offline Capabilities | - Offline synchronization and data handling - Mobile app usage for field reps |
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NEW QUESTION # 97
Alpine, a Consumer Goods company, is launching a new division dedicated to fresh baked breads delivered to restaurants and groceries. In an effort to move product rapidly and pick up new clients they need to extend their current customer onboarding process to allow field reps to onboard new customers while on their daily route. Which option is a best practice to complete this requirement ?
Answer: B
Explanation:
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 Reference: [Salesforce Consumer Goods Cloud Implementation Guide], page 34-35.
NEW QUESTION # 98
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 # 99
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 # 100
A consultant for Northern Trail Outfitters (NTO) has been asked to setup Tableau CRM for Consumer Goods Cloud to gain insights into factors that might affect store sales. Which functionality should the consultant select to address this concern?
Answer: A
Explanation:
The Maximize Store Sales Einstein Discovery story is designed to identify factors that influence product sales and provide actionable insights that can help sales managers improve store performance.
Salesforce provides preconfigured Einstein Discovery stories within Analytics for Consumer Goods. The sales-focused story analyzes historical data to identify variables that have a positive or negative impact on product sales. Salesforce currently describes this capability as Maximize Store Product Sales, which provides insights into the factors affecting product sales and helps organizations devise strategies to increase sales at a store or store-group level.
Einstein Discovery uses the available analytics dataset to identify statistically relevant relationships and present explanations that business users can act upon. These insights can assist sales managers in understanding how factors such as product availability, assortment, store characteristics, and other operational conditions correlate with sales performance.
The Minimize Out-of-Stock story serves a different objective: it predicts products that are likely to run out of stock so representatives can mitigate availability problems. While out-of-stock conditions can affect revenue, the scenario specifically asks for broader insight into the factors affecting store sales, making the sales- maximization story the appropriate functionality.
Study Guide Topics:Analytics - > Einstein Discovery - > Maximize Store Sales - > Predictive Insights - > Sales Performance
NEW QUESTION # 101
Which methodology does Salesforce Maps offer to facilitate the addition of geocoordinates for each retail store location by an admin?
Answer: B
Explanation:
Salesforce Maps provides bulk geocoding capabilities so administrators can populate latitude and longitude values for groups of records rather than manually maintaining coordinates one retail location at a time.
Salesforce Maps geocodes records by matching address information against its geocoding provider and writing the corresponding latitude and longitude values back to the configured coordinate fields. A record can then be accurately plotted on a Maps layer and used for visit planning, route optimization, territory visualization, and proximity analysis.
One supported approach is to plot the records in a Maps layer and geocode the records represented by that layer. This enables administrators to work with a selected collection of Retail Store locations and perform the geocoding operation in bulk rather than copying coordinates from individual map markers.
Salesforce also supports scheduled or batch geocoding through Maps configuration for larger datasets, but within the workflow represented by the question, the Maps layer and mass geocoding action provide the direct administrative method for adding coordinates to the selected retail store records.
Accurate geocoding is foundational to Maps-based Retail Execution because route calculations and map visualization depend on verified geographic coordinates.
Study Guide Topics:Integrations - > Salesforce Maps - > Geocoding - > Retail Store - > Map Layers - > Mass Actions
NEW QUESTION # 102
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