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| Section | Weight | Objectives |
|---|---|---|
| Discovery | 24% | - Architecture Assessment
|
| Planning and Design | 60% | - Product Catalog Design
|
| Delivery | 16% | - Implementation
|
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NEW QUESTION # 35
Universal containers (UC) is a communication service provider using commination cloud. UC gathered the following from their sales agent about their current legacy system quoting and order capture flows: - They often need to refer back to their documents for routine customer requests - They are able to handle the majority of customer request themselves despite of current challenges - Routine customer requests require many clicks and they want the new system to focus user experience. One of the common MACD transactions is to increase the quality of the assets. What approach should a consultant recommend for designing the quoting and order capture flow in communication cloud to alleviate the agents ' feedback while minimizing implementation efforts?
Answer: C
Explanation:
High-frequency, repeatable customer requests are good candidates for a guided OmniScript because the process can present only the required decisions in the right sequence, reducing clicks and reliance on procedural documentation. Less common or highly variable transactions can remain in the standard Industries CPQ cart. This hybrid pattern improves usability where it matters most without replacing mature cart capabilities across every scenario. The practical benefit is that the solution remains scalable and deterministic as order volume or catalog complexity grows. Building a custom cart or converting every use case into a bespoke guided flow increases delivery and maintenance effort. The objective is targeted simplification, not wholesale reimplementation of the CPQ interaction model. A design that relies on unnecessary custom code, duplicated catalog records, or manual recovery may work for a small pilot but becomes difficult to operate at telecommunications scale. The standard Salesforce Industries capability provides the expected lifecycle hooks, data ownership, and processing semantics needed for production support. Configuration should therefore be kept as close as possible to the managed feature set, with clear dependencies and explicit conditions so that each transaction produces a predictable commercial and technical result.
Study Guide Reference:Guided selling; OmniScript; Industries CPQ cart; MACD user experience; minimizing customization.
NEW QUESTION # 36
ABC Telecom is using Communication Cloud ' s Order Management capabilities to track order milestones.
They would like to get informed when the order is at risk of missing the service level agreement (SLA) defined in the system. For example, if there is an installation delay due to construction work or equipment not being delivered due to an issue with the delivery partner. How should a Consultant configure their environment so that ABC Telecom is informed of risks?
Answer: D
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. The key is to represent the requirement in the same layer where Salesforce evaluates that business state. 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. 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:Order Management scalability; Platform Events mode; asynchronous Apex; capacity planning; production stability.
NEW QUESTION # 37
Universal Containers is using Communications Cloud for their B2B use cases. They have an integration with a legacy stack that will handle network provisioning and billing. As part of their Order Management process they have to send the customer data to the legacy app, which in turn provisions billing. What should a Consultant recommend to make this callout easier to configure, easier to maintain, and performant?
Answer: D
Explanation:
Customer information that is needed in a downstream callout but is not itself a technical product should be modeled on the Order or related transactional context and extracted into the request payload through standard mapping. This keeps customer master/transaction data separate from the technical catalog and makes the integration easier to understand and maintain. In a Communications Cloud implementation, this pattern provides the cleanest balance of reuse, governance, and runtime efficiency. Creating artificial technical products or multi-select product attributes just to transport customer data pollutes the fulfillment model, while a custom adapter adds query and code complexity that standard request mapping can avoid. 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:Order-level integration data; Callout payloads; Data Mappers; technical-product modeling boundaries.
NEW QUESTION # 38
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: B,C
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 # 39
A company uses as in-house legacy order management system for order fulfillment and inventory management. The order fulfillment support team complains that the items that makes callouts to the inventory management system get stuck and fail for days and manual intervention is required. The company has decided to move the industries Order management (OM) system. How would industries OM Fallout Management reduce this issue for the company.
Answer: D
Explanation:
Order Management connection retry policies reduce operational fallout from transient downstream failures. A failed callout can be queued for automatic retry according to a defined number of attempts and retry interval, allowing temporary inventory, network, or endpoint issues to recover without immediately requiring manual support intervention. Centralized retry configuration also makes recovery behavior consistent across related orchestration items. In a Communications Cloud implementation, this pattern provides the cleanest balance of reuse, governance, and runtime efficiency. Load balancing does not resolve a failed external request, and an analysis report does not execute recovery. Manual intervention should be reserved for failures that remain after the configured automatic retry behavior has been exhausted. 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:Fallout Management; connection retry policies; callout resilience; automated recovery.
NEW QUESTION # 40
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