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| Section | Weight | Objectives |
|---|---|---|
| Discovery | 24% | - Define KPIs and business objectives - Assess customer IT ecosystem and architecture - Analyze requirements and constraints |
| Planning and Design | 60% | - Sprint planning and story prioritization - Asset management and MACD flows - Order capture, quoting and fulfillment design - Migration strategy and data quality - Design scalable product catalog and data model |
| Delivery and Implementation | 16% | - Feature assessment: out-of-the-box vs custom - Solution validation and optimization - Integration and deployment best practices |
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NEW QUESTION # 124
Universal Connect (UC) offers a router to its customer which is included as part of the business internet offer. However, the router has no commercial significance to the selling process. UC is currently using industries Order Management (OM). How should a consultant model with respect to the business internet offer?
Answer: D
NEW QUESTION # 125
United telecom has large product catalog; over time their catalog has increased in number of factors. They have choosen communication cloud as their product of choice to reduce their product catalog size. Which are the two steps shall consultant take to migrate these issue and build a stable product catalog.
Answer: B,C
Explanation:
A stable target catalog requires both rationalization and reusable metadata modeling. Duplicate and obsolete legacy products should be removed or consolidated, while common characteristics should be represented through Object Types and attributes so that similar offers inherit shared definitions instead of proliferating as separate SKUs. This reduces catalog size and the number of pricing, rules, and lifecycle artifacts that must be maintained. The key is to represent the requirement in the same layer where Salesforce evaluates that business state. Bundling duplicates or merely marking old products as non-orderable preserves the underlying data and configuration burden. The target EPC should be intentionally simpler than the legacy catalog. 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:Catalog rationalization; EPC Object Types; attributes; product reuse; scalability.
NEW QUESTION # 126
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 # 127
An agile team is working on backlog grooming. There are two features that are needed by the customer and one of them is needed by the support team. The agile team is currently working on an iteration, Days later a business representative requests that another feature be included in the same iteration which step should consultant take?
Answer: C
NEW QUESTION # 128
Universal Connect (UC) offers only Internet service. However, they plan on extending their offering to include TV services for their existing customers. Fulfillment of Internet and TV orders will only require customers to activate one access line. A Consultant plans on mapping Internet and TV products to the same technical product for the access line using decomposition, but there is a common attribute called " Installation Type " on the Internet and TV offer. What will the Consultant see as a result if the customer orders Internet and TV together?
Answer: A
Explanation:
Industries Order Management supports many-to-one decomposition in which several source products contribute to a shared technical product. When two source products supply an attribute with the same name, decomposition does not fail. The shared technical product receives one resulting value, with the value from the most recently edited or added source attribute taking precedence for the generated fulfillment data. 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. The duplicate attribute name is therefore not a design-time or runtime error and it does not automatically become null. If conflicting values are possible, the catalog should establish deliberate ownership or normalization so that the precedence rule does not create an unintended result. 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:M:1 decomposition; attribute propagation; duplicate attributes; Fulfillment Request Lines.
NEW QUESTION # 129
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