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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Discovery | 24% | - Define KPIs and business objectives - Analyze requirements and constraints - Assess customer IT ecosystem and architecture |
| Topic 2: Planning and Design | 60% | - Asset management and MACD flows - Sprint planning and story prioritization - Design scalable product catalog and data model - Order capture, quoting and fulfillment design - Migration strategy and data quality |
| Topic 3: Delivery and Implementation | 16% | - Solution validation and optimization - Integration and deployment best practices - Feature assessment: out-of-the-box vs custom |
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NEW QUESTION # 65
An ABC telecom customer ordered an internet bundle along with router in their first order. At later date, the customer ordered another internet bundle. Their existing router supports all services. What should be the scope of technical product so that the decomposition process generates fulfillment request lines (FRL) based on the exiting inventory item?
Answer: B
NEW QUESTION # 66
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?
Answer: A
Explanation:
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.
NEW QUESTION # 67
UC uses communication cloud but their legacy system has a large products module on a per stock keeping Unit ( SKU) basis. UC wants to rationalize their product catalog What are the three options should consultant configure to meet this requirement
Answer: A,B,D
NEW QUESTION # 68
Universal Containers (UC) is a Communications Service Provider using Communications Cloud. UC markets their DSL In service with two speed tiers - 5 Mbps and 50 Mbps. Five Mbps uses the ADSL technology, which requires Copper Pair, an Mbps uses the VDSL technology, which requires Bonded Copper Pair. How should a Consultant model this service end-to-end?
Answer: A
Explanation:
The customer purchases the DSL Internet offer, so it belongs in the commercial catalog and uses speed as a configurable attribute. The selected commercial configuration then decomposes into the appropriate Customer Facing Service, such as ADSL or VDSL, and subsequently into the Resource Facing Service that represents the required physical network resource, such as a Copper Pair or Bonded Copper Pair. Multi-level decomposition preserves this separation of concerns. This is the decisive architectural point in this scenario because the Salesforce Industries model separates commercial selling concerns from fulfillment, lifecycle, and integration concerns. Starting with a technical product reverses the commercial/fulfillment boundary, and modeling speed as static fields rather than product attributes reduces configurability. The commercial-to-CFS- to-RFS chain is the intended end-to-end service model. 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:Commercial products; CFS; RFS; product attributes; multi-level decomposition; DSL modeling.
NEW QUESTION # 69
A B2B telecommunications company uses Communications Cloud to sell technically complex products. Their operations team faced order fallouts due to incorrect configurations of the quotes. At the same time, their sales team said that it takes too much time to educate a new account executive due to the product ' s complexity, and even after studying, it doesn ' t prevent mistakes in the quotes. What two options need to be implemented to improve the current situation?
Answer: B,D
Explanation:
Quote errors should be prevented before the order reaches fulfillment. Advanced Rules can validate allowed product combinations, dependencies, and configuration conditions inside the Industries CPQ cart, while an OmniScript guided-selling journey reduces the amount of product knowledge a new account executive must memorize by leading the user through the correct decisions in sequence. The recommended configuration follows the native Communications Cloud responsibility boundary: catalog and CPQ determine the commercial request, while Order Management, OmniStudio, or the relevant platform service performs the downstream processing required by the use case. Adding validation only in Order Fulfillment is too late because an invalid quote has already become an order. The combination of guided UX and declarative configuration rules attacks both training complexity and fallout at the source. Avoiding duplicate logic is important because repeated rules across catalog, integration, and orchestration layers quickly become inconsistent as products evolve. The selected approach keeps the authoritative data in the correct object model, supports later lifecycle operations, and minimizes additional processing or manual intervention. It should be implemented declaratively wherever the platform feature can express the requirement, with customization reserved only for behavior that genuinely falls outside the supported framework.
Study Guide Reference:Advanced Rules; configuration validation; Guided Selling; OmniScript; quote accuracy; fallout prevention.
NEW QUESTION # 70
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