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| Section | Weight | Objectives |
|---|---|---|
| Delivery and Implementation | 16% | - Feature assessment: out-of-the-box vs custom - Solution validation and optimization - Integration and deployment best practices |
| Discovery | 24% | - Define KPIs and business objectives - Analyze requirements and constraints - Assess customer IT ecosystem and architecture |
| Planning and Design | 60% | - Sprint planning and story prioritization - Design scalable product catalog and data model - Order capture, quoting and fulfillment design - Asset management and MACD flows - Migration strategy and data quality |
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NEW QUESTION # 65
An Organization wants to maintain data related to the line items and assets in custom objects under the line items (Object ' A ' ) and assets (Object Name ' B ' ). What will ensure the data is saved under assets during assetization and can be leveraged for MACD Orders?
Answer: C
Explanation:
When custom child-object data must survive assetization and also return to a new transaction during later MACD processing, Object Mapper should be configured in both directions. The line-item child object maps to the asset-side custom object during Order-to-Asset processing, and the reverse mapping recreates or carries the asset-side information back into the transactional structure when Asset-to-Order processing begins. In a Communications Cloud implementation, this pattern provides the cleanest balance of reuse, governance, and runtime efficiency. A one-way mapping preserves the data on the Asset but does not fully support the reverse lifecycle. Field Mapper is not sufficient for moving an entire custom child-object hierarchy. The alternative designs either introduce unnecessary coupling, fail to preserve the required lifecycle state, or move standard platform behavior into bespoke code. Keeping the solution within the documented product, pricing, migration, or orchestration framework also gives operations teams clearer monitoring and recovery paths. For production readiness, the configuration should be exercised with realistic data volumes and representative MACD scenarios so that the behavior remains correct after the initial sale and throughout subsequent service changes.
Study Guide Reference:Asset-Based Ordering; Object Mapper; bidirectional mapping; Order-to-Asset; Asset- to-Order; MACD.
NEW QUESTION # 66
The discovery phase has identified the industries order management should integrate with the provisioning system using HTTP protocol, however to activate the service the external system requires two HTTP requests passing formatted JSON payloads. A temporary identifier is returned from the first request and must be used on the second one, but it has no relevance to CRM. The provisioning system is known to reply within 750ms for each request. What are two out of the box options for integration within this system?
Answer: A,D
NEW QUESTION # 67
Universal Connect (UC) offers business TV services to its customer. As part of the offerings, UC requires the business TV ' s attribute to be changes to gold if account ' s SLA field value is ' Gold ' . What solution does consultant recommend to achieve the requirement?
Answer: B
Explanation:
The Advanced Rules Framework is appropriate when the value assigned to a product attribute depends on contextual information such as an account field. The rule can evaluate the account SLA through an entity filter and use a Modify Attributes relationship or assignment action to set the Business TV attribute to Gold when the qualifying condition is true. The logic remains declarative and executes during product configuration. This is the decisive architectural point in this scenario because the Salesforce Industries model separates commercial selling concerns from fulfillment, lifecycle, and integration concerns. Compatibility rules focus on valid product combinations, while context qualification alone does not perform the attribute assignment. The Advanced Rules action layer is what changes the configured value in response to the evaluated business condition. 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:Advanced Rules Framework; entity filters; Modify Attributes; contextual product configuration.
NEW QUESTION # 68
ABC cloud communication service provider that uses communication cloud for their B2B Market. ABC cloud sells services to tier 1 enterprise companies across the globe the number of items in the cart for each customer is usually high and with new products being introduced, the company expects even higher cart numbers. Sales representative started to notice performance reduction while submitting big carts to order management. A consultant was asked to provide design guidance for product design while taking into consideration communication cloud CPQ and order management constraints. Which two options should the consultant consider while designing the commercial catalog?
Answer: A,B
Explanation:
Large B2B carts benefit from catalog rationalization and controlled product-model complexity. Legitimate product variation can often be represented through attributes instead of multiplying near-identical products, while deep hierarchies, very large add-on lists, and excessive Auto Add/Auto Remove rules should be limited because they increase runtime validation, decomposition, and orchestration work. The commercial model should remain expressive without creating unnecessary line-item expansion. In a Communications Cloud implementation, this pattern provides the cleanest balance of reuse, governance, and runtime efficiency.
Flattening everything and compensating with many advanced rules can be equally expensive. The design goal is balanced reuse: enough attribute-driven modeling to reduce product count, but not so much hierarchy or rule complexity that large carts become computationally heavy. The alternative designs either introduce unnecessary coupling, fail to preserve the required lifecycle state, or move standard platform behavior into bespoke code. Keeping the solution within the documented product, pricing, migration, or orchestration framework also gives operations teams clearer monitoring and recovery paths. For production readiness, the configuration should be exercised with realistic data volumes and representative MACD scenarios so that the behavior remains correct after the initial sale and throughout subsequent service changes.
Study Guide Reference:Industries CPQ performance; EPC modeling; large carts; attributes; Advanced Rules; Order Management constraints.
NEW QUESTION # 69
What are the 3 keys inputs used by order management to determine the output of MACD order.
Answer: A,B,E
Explanation:
MACD decomposition is driven by three information sets: the new commercial request in the Order and Order Items, the current customer state represented by Assets and technical Inventory Items, and the commercial
/technical catalog configuration that defines decomposition and fulfillment behavior. Order Management compares the requested state with the installed state through the configured technical model to determine the required actions. 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. Fulfillment Requests and FRLs are generated outputs of that decomposition, not the primary starting inputs. Quotes are upstream selling artifacts; the submitted Order is the operational request processed by Order Management. 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:MACD decomposition; Orders and Order Items; Assets; Technical Inventory; EPC configuration.
NEW QUESTION # 70
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