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| Section | Weight | Objectives |
|---|---|---|
| Planning and Design | 60% | - Solution Architecture
|
| Discovery | 24% | - Requirements Analysis
|
| Delivery | 16% | - Implementation
|
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NEW QUESTION # 21
An agile team is working on backlog grooming. There are two features that are needed by the customer and one of them is needed by the support team. The agile team is currently working on an iteration, Days later a business representative requests that another feature be included in the same iteration which step should consultant take?
Answer: D
NEW QUESTION # 22
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?
Answer: B,C,E
Explanation:
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.
NEW QUESTION # 23
UC have completed migration into developer org. Now they are using partial copy sandbox. What are the two reason why consultant should recommend doing a full data load in full copy sandbox before production load?
Answer: A,B
Explanation:
A Full Copy sandbox is the appropriate final rehearsal environment because it can reproduce production-scale data shape and volume much more closely than Developer or Partial Copy sandboxes. Running the complete load exposes volume-sensitive problems such as governor-limit pressure, automation behavior, locking, outlier data-quality issues, and record relationships that a small sample may never exercise. In a Communications Cloud implementation, this pattern provides the cleanest balance of reuse, governance, and runtime efficiency. Sandbox runtime is not a precise predictor of production duration because infrastructure and concurrent usage differ. The value of the rehearsal is discovering scale and data exceptions before cutover, not obtaining an exact production stopwatch estimate. 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:Full Copy sandbox; migration rehearsal; production-scale testing; governor limits; data quality.
NEW QUESTION # 24
Has commercial attribute called " access Type " on the internet offers with two values, namely DSL and Fiber. UC has requirement to model routers as technical products and offer either a DSL or a fiber router based on the " access type " value. What kind of decomposition relationship should a consultant recommend to achieve this requirement?
Answer: B
Explanation:
One commercial Internet offer can lead to different technical router products depending on the Access Type attribute. That is a one-to-many decomposition pattern: the single source product has relationships to multiple candidate technical products, and conditional execution determines whether the DSL or Fiber router relationship is used for the particular order. The practical benefit is that the solution remains scalable and deterministic as order volume or catalog complexity grows. A one-to-one relationship would allow only one fixed destination. Many-to-one and many-to-many models solve different consolidation problems and are unnecessary when one source product is selecting among several technical outcomes. 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:1:M decomposition; conditional decomposition; attribute-based technical-product selection.
NEW QUESTION # 25
ABC Cloud is considering implementing Communications Cloud and Industries Order Management (OM) to integrate with its new network provisioning platform. The network provisioning system orchestrates activation with low-level network elements and transmits different milestones to different upstream systems including Communications Cloud. Industries OM should react on certain milestones and progress its order to the next stages. What should a Consultant consider when designing orchestration flows for these requirements?
Answer: B
Explanation:
The network platform can emit many low-level milestones, but only the milestones that have business significance for Industries Order Management should be forwarded into Salesforce. The intermediate layer should filter the stream and send the relevant events, and each required synchronization point should be represented by a Push Event so the orchestration plan pauses and progresses according to the external milestone. In a Communications Cloud implementation, this pattern provides the cleanest balance of reuse, governance, and runtime efficiency. Forwarding every technical event creates unnecessary event traffic and governor-limit consumption. Directly changing Order status from an Integration Procedure bypasses the configured orchestration state machine rather than completing the appropriate orchestration item. 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:Push Events; milestone filtering; network provisioning integration; orchestration progression.
NEW QUESTION # 26
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