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| Section | Weight | Objectives |
|---|---|---|
| Delivery | 16% | - Implementation
|
| Discovery | 24% | - Architecture Assessment
|
| Planning and Design | 60% | - Product Catalog Design
|
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質問 # 115
A developer has modified the EPC price amount of one mobile device using the product designer from communication cloud. After the price have been changed the developer wants to check the previous EPC price amount to track pricing matrices and get some forecast matrices. How can developer check the previous price amount on the mobile device?
正解：B
解説：
EPC Versioning is the appropriate capability for inspecting how a product and its pricing changed over time.
Version history preserves earlier catalog states and allows product versions to be compared, including changes to pricing and other product configuration. This gives a controlled product-lifecycle audit rather than relying on custom fields or bespoke triggers to remember one previous amount. This is the decisive architectural point in this scenario because the Salesforce Industries model separates commercial selling concerns from fulfillment, lifecycle, and integration concerns. EPC Projects track grouped catalog changes for change-management and deployment purposes, but they are not a substitute for comparing the actual historical versions of a specific product. Field-history customization is unnecessary when the native version lifecycle already provides the required product context. Using the standard capability also keeps the design supportable across releases, reduces unnecessary custom code, and makes operational behavior easier to trace during troubleshooting. From an implementation perspective, the configuration should be tested with representative product structures and transaction volumes so that rules, mappings, and downstream dependencies behave exactly as intended. The resulting design is therefore both functionally correct and aligned with the managed Communications Cloud operating model.
Study Guide Reference:EPC Versioning; Product Designer; version history; pricing lifecycle; catalog governance.
質問 # 116
UC is a communication service provider using communication cloud. UC done migration by successfully loading full data set into a Full copy sandbox with no errors. UC have started loading data in production.
What two action a consultant shall recommend once the load is completed in production?
正解：B、C
解説：
A production migration is complete only after the load has been reconciled. Failed or rejected records must be analyzed, corrected, and reloaded, and the final record counts should be compared with the expected source volumes. Representative records should then be spot-checked for field values, relationships, and business correctness so that the production result is proven rather than assumed. The key is to represent the requirement in the same layer where Salesforce evaluates that business state. A successful Full Copy rehearsal reduces risk but cannot replace validation of the actual production execution. Production can still contain data- quality, relationship, permission, automation, or exception differences that require explicit verification. This avoids mixing customer-facing product logic with downstream technical state or using integration code as a substitute for catalog and orchestration design. When the model is aligned correctly, the platform can validate the request, retain the required lifecycle information, and generate the appropriate downstream action without redundant processing. That improves auditability and makes later changes easier because administrators can adjust the relevant metadata rather than reworking multiple custom components.
Study Guide Reference:Production migration; error reconciliation; failed-record reloads; record-count validation; spot checks.
質問 # 117
Universal Containers sells multiple mobile devices, each treated as a distinct commercial product. They all need integration with the same device inventory system. What ' s the most optimal way to minimize decomposition relationships in this scenario?
正解：A
解説：
When several similar commercial products have identical fulfillment behavior, a Product Class provides the reusable abstraction. The offers are associated with the parent class and the class owns a single decomposition relationship to the shared CFS. This centralizes the technical mapping and lets new products inherit the same fulfillment behavior without creating another nearly identical decomposition rule. The practical benefit is that the solution remains scalable and deterministic as order volume or catalog complexity grows. Creating one relationship for every offer is functional but duplicates configuration and increases the chance of inconsistent mappings over time. Scope settings solve technical-instance reuse, not decomposition-definition reuse. A design that relies on unnecessary custom code, duplicated catalog records, or manual recovery may work for a small pilot but becomes difficult to operate at telecommunications scale. The standard Salesforce Industries capability provides the expected lifecycle hooks, data ownership, and processing semantics needed for production support. Configuration should therefore be kept as close as possible to the managed feature set, with clear dependencies and explicit conditions so that each transaction produces a predictable commercial and technical result.
Study Guide Reference:Product Class Decomposition; reusable CFS mapping; fulfillment-model maintainability.
質問 # 118
United Telecom has initiated high speed offerings on communication cloud after upgrading its network.
Which out of the box MACD process should UT consider when upgrade existing assets to high speed offers for interested customer.
正解：A
解説：
Change of Plan is the standard asset-based ordering process for moving an existing customer from one commercial plan or bundle to another while preserving service continuity. The transformation compares the current asset structure with the target offer, retaining components that can continue, adding newly required elements, and disconnecting components that no longer apply. This is the natural operation for upgrades and downgrades between defined service plans. This is the decisive architectural point in this scenario because the Salesforce Industries model separates commercial selling concerns from fulfillment, lifecycle, and integration concerns. A generic Modify is better suited to changes within the same product configuration, while disconnecting and creating a new order unnecessarily breaks lifecycle continuity. A Promotion changes commercial terms but does not perform the service-plan transformation. Using the standard capability also keeps the design supportable across releases, reduces unnecessary custom code, and makes operational behavior easier to trace during troubleshooting. From an implementation perspective, the configuration should be tested with representative product structures and transaction volumes so that rules, mappings, and downstream dependencies behave exactly as intended. The resulting design is therefore both functionally correct and aligned with the managed Communications Cloud operating model.
Study Guide Reference:Asset-Based Ordering; MACD; Change of Plan; offer transformation; service continuity.
質問 # 119
A B2C company needs to create a self-serve portal where customers can browse products and manage shopping carts. It ' s expected to have a high volume of transactions. What is the optimal product to cover the requirements?
正解：B
解説：
Digital Commerce API is optimized for high-volume self-service where customers browse offers, configure products, create and modify baskets, and then progress into Salesforce order capture. Its digital-channel architecture is designed to reduce platform load and support consumer-scale traffic through caching and channel-appropriate commerce services. This is the decisive architectural point in this scenario because the Salesforce Industries model separates commercial selling concerns from fulfillment, lifecycle, and integration concerns. TMF620 is a catalog-exchange standard, Apex REST would require custom implementation, and raw CPQ Cart APIs do not provide the complete optimized digital browsing and basket layer expected for a large B2C portal. Using the standard capability also keeps the design supportable across releases, reduces unnecessary custom code, and makes operational behavior easier to trace during troubleshooting. From an implementation perspective, the configuration should be tested with representative product structures and transaction volumes so that rules, mappings, and downstream dependencies behave exactly as intended. The resulting design is therefore both functionally correct and aligned with the managed Communications Cloud operating model.
Study Guide Reference:Digital Commerce API; high-volume self-service; offer discovery; basket management; digital scalability.
質問 # 120
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