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| Section | Weight | Objectives |
|---|---|---|
| Discovery | 24% | - Requirements Analysis
|
| Planning and Design | 60% | - Product Catalog Design
|
| Delivery | 16% | - Validation
|
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質問 # 118
Universal container (UC) is implementing communication cloud and the business is asking a consultant to migrate all orders from the last 5 years, which will include millions of orders. What are three valid points consultant should raise in this scenario?
正解：B、C、D
解説：
Migrating millions of historical orders creates a large-data-volume footprint that can reduce query and reporting performance and can force the target org to preserve historical catalog dependencies, including products that are no longer sold. For future service management, the customer ' s current Assets generally provide more direct operational value because they are the state used for subsequent MACD activity. 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. A large record count does not guarantee that Order Management will fail; Salesforce can support large datasets when architecture, indexing, loading, and retention are designed correctly. The key design decision is whether the historical transaction detail provides enough business value to justify its storage and catalog dependencies. 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:Large data volumes; historical-order migration; asset migration; catalog dependencies; lean data strategy.
質問 # 119
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?
正解：B、D
解説：
Two standard patterns can carry a short-lived identifier between fulfillment calls. An Integration Procedure can execute both HTTP requests in one server-side transaction and pass the first response value directly to the second action. Alternatively, separate orchestration callouts can persist the value temporarily on a technical Fulfillment Request Line using a non-assetizable attribute so that later processing can consume it without carrying it into the long-term technical asset state. The key is to represent the requirement in the same layer where Salesforce evaluates that business state. DataRaptor/Data Mapper alone is a transformation tool rather than the external HTTP orchestration mechanism. Pure in-memory caching between independently executed orchestration items does not provide the durable handoff required by the process. 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:Integration Procedures; HTTP Actions; non-assetizable attributes; transient fulfillment data.
質問 # 120
Unified communication is dependents on a large number legacy system that works in virtual product silos.
Business capacities are duplicated across multiple system, requiring manual efforts to complete orders and service request. The complex system landscape makes it difficult to support growing business models so UC is planning to upgrade the communication cloud while also considering migration for their existing subscribers to communication cloud. What are three questions consultant should ask that would directly impact the technical factors of their migration strategy?
正解：B、D、E
解説：
Migration architecture is driven by the scope and characteristics of the source data. The consultant must know which data from which systems will move, what migration/ETL technologies and source databases are involved, and the quality, structure, and frequency of the data movement. These inputs determine mappings, transformations, throughput, synchronization design, cleansing effort, and cutover strategy. In a Communications Cloud implementation, this pattern provides the cleanest balance of reuse, governance, and runtime efficiency. The primary contact and overall project cost matter to program governance but do not define the technical migration pattern as directly as source-system scope, data characteristics, and movement technology. 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:Migration discovery; source-system assessment; data quality; ETL tooling; migration frequency.
質問 # 121
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?
正解：A、B
解説：
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.
質問 # 122
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?
正解：B、D、E
解説：
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.
質問 # 123
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