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| Section | Objectives |
|---|---|
| OmniStudio and Low-Code Configuration | - OmniScript design and execution - FlexCards for UI composition - DataRaptor and Integration Procedures |
| Product Modeling and Catalog (EPC) | - Product lifecycle and configurations - Enterprise Product Catalog structure |
| Communications Cloud Fundamentals | - Core Communications Cloud capabilities - Industry-specific architecture and concepts |
| Pricing, Billing, and Monetization | - Usage-based pricing models - Communications industry billing concepts |
| Order Management and Fulfillment | - Order capture and orchestration - Service provisioning concepts |
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NEW QUESTION # 88
An ABC telecom customer requested a change to their existing services which resulted in new set of assets. At later date customer changed from device based to an installment based contract. After few year customer then requested to change their telephone number. Which object of communication data model should a consultant use to manage the life cycle of assets over a time?
Answer: C
NEW QUESTION # 89
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
NEW QUESTION # 90
Orbit telecommunication has announced that their B2C mobile business is doing well and there will be high order increase next year well beyond anything they had planned. What are the two preparatory steps that a consultant should take to ensure the stability in production?
Answer: A,C
Explanation:
Rapid growth in B2C order volume must be matched by Order Management capacity planning. Platform Events mode should be enabled so orchestration uses the event-driven asynchronous processing model, and the organization must have enough Platform Event entitlement and asynchronous Apex/callout capacity for the projected number of Callouts, Auto Tasks, retries, and other asynchronous consumers. This approach is preferable because it uses the platform feature designed for the exact lifecycle stage involved, rather than forcing the requirement into a neighboring layer. Enterprise Sales Management solves a different B2B large- transaction problem, and middleware does not eliminate the Salesforce-side asynchronous processing consumed by Industries Order Management. Capacity must be sized where the workload actually executes. In Communications Cloud, that separation materially affects maintainability, performance, and the accuracy of future MACD or order-processing behavior. The solution should therefore preserve parent-child and inventory dependencies, use standard qualification or orchestration semantics, and ensure that downstream systems receive only the information relevant to their responsibility. The same design also simplifies regression testing because the business rule is expressed in one authoritative place and can be validated independently from unrelated product or integration behavior.
Study Guide Reference:Order Management scalability; Platform Events mode; asynchronous Apex; capacity planning; production stability.
NEW QUESTION # 91
Exclusive VPN corporation wants to automate their offering of complete B2B services and realizes that their order can be very large and will from time to time violate Order Management ' s Document size limits. Which two techniques can a consultant use to migrate the risk of large order hitting governor limits?
Answer: C,D
Explanation:
Large B2B order stability improves when Order Management uses Platform Events processing and when the commercial transaction is segmented into manageable site-based units before submission. Event-based orchestration avoids the tighter Batch Apex concurrency model, while site grouping or enterprise-sales capabilities reduce the number of lines and technical records processed in one transaction. Together they lower heap, CPU, and orchestration-plan pressure. This approach is preferable because it uses the platform feature designed for the exact lifecycle stage involved, rather than forcing the requirement into a neighboring layer. Simply requesting larger governor limits is not a sustainable design, and placing all lines into one oversized order preserves the underlying transaction-size problem. The workload should be scaled by both processing mode and transaction segmentation. In Communications Cloud, that separation materially affects maintainability, performance, and the accuracy of future MACD or order-processing behavior. The solution should therefore preserve parent-child and inventory dependencies, use standard qualification or orchestration semantics, and ensure that downstream systems receive only the information relevant to their responsibility.
The same design also simplifies regression testing because the business rule is expressed in one authoritative place and can be validated independently from unrelated product or integration behavior.
Study Guide Reference:Large-order optimization; Platform Events mode; site-based segmentation; ESM; governor limits.
NEW QUESTION # 92
A consultant analyzing integrations to various fulfillment systems. While the consultant beliefs that process shall be automated, they have identified one particular complex integration that has a formatted payload that verify JSON Implemented for nonstandard error response to be returned to order management from the fulfillment system. How should the consultant solve this used case?
Answer: A
Explanation:
A custom Apex integration adapter is justified when the downstream system requires a payload format and error semantics that the standard adapters and declarative mappings cannot represent cleanly. Apex can control serialization, HTTP behavior, response parsing, exception translation, and the mapping of non- standard errors into Order Management processing while still being invoked through the normal System Interface and orchestration model. 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. DataRaptor/Data Mapper can transform data but does not by itself implement the complete transport and custom response semantics. Manual handling should not replace an integration that can be automated reliably. 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:Custom System Interface; Apex callouts; payload serialization; non-standard error handling; fulfillment integration.
NEW QUESTION # 93
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