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| Section | Weight | Objectives |
|---|---|---|
| Retail Execution | 20-25% | - Check-in and check-out workflows - Route optimization basics - Visit planning and scheduling - Store and account management - GPS tracking and location services |
| Inventory and Stock Management | 15-20% | - Inventory tracking features - Inventory reconciliation - Stock replenishment workflows - Product information management |
| Performance Analytics and Reporting | 15-20% | - Custom report creation - Pre-built reports and dashboards - Data visibility and sharing settings - KPI tracking and metrics |
| Tasks and Activities Management | 15-20% | - Calendar integration - Activity types and templates - Task creation and assignment - Task completion and tracking |
| Consumer Goods Cloud Overview and Configuration | 15-20% | - Configuration settings and administrative controls - Consumer Goods Cloud architecture and data model - User licensing and permission sets - Consumer Goods Cloud product overview and key capabilities |
| Mobile Application Features | 10-15% | - Consumer Goods Cloud mobile app overview - Offline capabilities - Digital asset access - Photo capture and attachments |
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NEW QUESTION # 43
Northern Trail Outfitters (NTO) would like to know if the high value assets placed in stores are compliant. If not compliant, NTO would like a boolean value generated to trigger an action plan for correction. What is the recommended approach to meet the customer's requirement and limit the amount of custom code?
Answer: A
NEW QUESTION # 44
Which three statements are Correct about Store Products?
Answer: B,D,E
Explanation:
A Store Product represents the relationship between a Product2 record and a particular Retail Store or In- Store Location. This relationship supplies the store-specific product context required by several Retail Execution processes.
For Inventory Checks, Salesforce must determine which products are relevant to the store being visited. Store Product records provide that relationship, allowing the Inventory Check experience to present applicable products rather than the entire enterprise product catalog. The same store-level product context supports the Search and Scan experience, where field representatives locate a product directly or scan its barcode while performing an inventory assessment.
Store Products also contribute to order capture. Salesforce stores operational attributes on the Store Product relationship, including the associated Product, Retail Store, In-Store Location, default order quantity, and favorite-product indicator. These fields allow the order experience to identify products that are relevant to a specific outlet and facilitate efficient repeat ordering.
Salesforce distinguishes Store Product from Store Assortment: Store Product represents products directly associated with a store or in-store location, while assortments define broader groups of products eligible for sale.
Study Guide Topics:Data Setup - > Store Product - > Inventory Check - > Search and Scan - > Order Capture
NEW QUESTION # 45
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: B
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 # 46
ABC Telecom is using Communications Cloud for their enterprise customers. ABC Telecom has a requirement wherein assets must be synchronized to the assurance platform as soon as the sale or MACD order completes fulfillment for wholesale products. There are about 5,000 orders placed by each reseller throughout the day. There are hundreds of active reseller users present in the system.
How should a Consultant recommend that ABC Telecom integrate Communications Cloud with their assurance platform?
Answer: D
Explanation:
ABC Telecom requires that assets be synchronized to their assurance platform immediately after fulfillment, and they operate in a high-volume wholesale environment (5,000+ orders per reseller/day and hundreds of concurrent users). Salesforce recommends event-driven, near-real-time integration for high-scale fulfillment notifications.
Platform Events are Salesforce's native, scalable publish/subscribe mechanism designed for high throughput and low latency. When an order completes fulfillment, Communications Cloud can publish an event that external systems subscribe to. The assurance platform can then call the GetAsset API to retrieve the exact asset structure needed for assurance workflows.
This pattern is explicitly recommended in Salesforce high-throughput integration architectures because it:
Eliminates polling
Handles large transaction volume
Provides near-real-time sync
Decouples fulfillment from assurance systems
Scales horizontally across resellers
Option A (using OM orchestration) is synchronous and not optimal for high throughput.
Option B (on-demand REST pull) causes latency and excessive polling.
Option C (Bulk API) is batch-oriented, not real-time, and unsuitable for near-immediate updates.
NEW QUESTION # 47
A B2B communications company routinely manages intricate product configurations with over 1000 line items, leading to notable operational complexities. The company is concerned about the performance and scalability of the solution as the order volume is expected to increase progressively.
Which Salesforce Communications Cloud solution would you recommend to streamline the configure, price, and quote (CPQ) process and address the customer's performance and scalability concerns?
Answer: B
Explanation:
For B2B telecom companies dealing with complex configurations exceeding 1000 line items, the only Salesforce Communications Cloud solution purpose-built for performance, scalability, and large enterprise quoting is Enterprise Sales Management (ESM).
ESM enhances the CPQ experience by supporting:
Extremely high cart volumes (hundreds to thousands of lines)
Multi-site, multi-location enterprise networks
Enterprise-grade discounting and contract structures
Scalable pricing, validation, and asset handlings
Better separation of commercial vs. technical configurations
Options A, C, and D do not address enterprise-scale CPQ needs with thousands of line items. Large Account Sales Management focuses on account planning, not CPQ performance. Multiplay Subscription Management and Multi-site CPQ do not solve the scalability challenge.
NEW QUESTION # 48
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