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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Delivery and Implementation | 16% | - Integration and deployment best practices - Solution validation and optimization - Feature assessment: out-of-the-box vs custom |
| Topic 2: Planning and Design | 60% | - Order capture, quoting and fulfillment design - Design scalable product catalog and data model - Migration strategy and data quality - Asset management and MACD flows - Sprint planning and story prioritization |
| Topic 3: Discovery | 24% | - Analyze requirements and constraints - Define KPIs and business objectives - Assess customer IT ecosystem and architecture |
>> AP-203 Prüfungsmaterialien <<
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102. Frage
Universal containers (UC) sells bundle of the TV service and VOIP line to its customer UC requires a modem to be one of the technical products as part of the bundle decomposition. UC also requires that when a customer orders as additional VOIP line in the future, it reuses the same modem technical product that was decomposed as part of initial bundle order.
Antwort: C
103. Frage
Acme technology is Tier 1 Provider selling fixed line internet and TV services. In order to send Set top boxes (STB) and modem they are requiring a single call to the shipping fulfillment system, which combination can be sent to the customer. They also want to ensure optimal performance and avoid unnecessary use of storage of inventory in customer base.
Antwort: A
104. Frage
A company is selling voice products to business customers. The offer allows customers to select devices of various models. The product modeler intends to create a phone add-on product specification with voice offers with a cardinality that allows up to 700. Which of the three statement are valid regarding the product model in this scenario?
Antwort: A,D,E
Begründung:
EPC supports hierarchical product modeling, but very high child cardinalities can create substantial runtime cost. Hundreds of instantiated child products increase cart validation, MACD comparison, decomposition volume, generated Fulfillment Request Lines, heap use, and orchestration-plan composition. A technically supported catalog structure can therefore become operationally inefficient or exceed transaction limits at its maximum configured size. 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 correct conclusion is not that hierarchy is unsupported; it is that product-model scale must be tested against CPQ and Order Management limits. Large cardinalities should be justified and modeled with performance consequences in mind. 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:EPC hierarchy; cardinality; MACD performance; decomposition scalability; governor limits.
105. Frage
UC offers business internet to its customers. UC has two requirements based on customer regions in order to offer competitive prices in each region and customer must able to see prices before adding to cart. What are the two ways customer meet this requirement?
Antwort: A,B
Begründung:
Regional pricing can be implemented either by qualifying different Price List Entries with Context Rules or by using a region attribute as an input to an Attribute-Based Pricing matrix. Both patterns allow the same commercial Internet offer to return the correct region-specific price before the customer commits it to the cart, while keeping the product model rationalized. This is the decisive architectural point in this scenario because the Salesforce Industries model separates commercial selling concerns from fulfillment, lifecycle, and integration concerns. Promotions are better suited to temporary incentives, and unnecessary price-list hierarchies add maintenance when region-qualified entries or matrix pricing already solve the requirement directly. 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:Price List Entries; Context Rules; Attribute-Based Pricing; Calculation Matrices; regional pricing.
106. Frage
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?
Antwort: A,C
Begründung:
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.
107. Frage
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