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?

• A.To identify the metadata related error not previously seen with a subset of data
• B.To understand how long, the data load in production should take
• C.To identify the data error that was not surfaced during testing with subset of data
• D.To identify the risk of hitting governor limit with the production load

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ABC cloud currently using communication cloud's order management (OM) to orchestrate orders, they also want to start using it for billing activation. ABC cloud's architecture principle is to use an Apigee (Middleware) layer between industries OM and any underlying systems. The billing system interface requires a series of callouts in order to place an order. Which solution should a consultant propose?

• A.Configure single synchronous callout task and push the entire payload for Apigee to split into series of calls. Accept synchronous response from Apigee. Configure a Push Event for asynchronous response from Apigee about the result of the order submission.
• B.Configure a synchronous call out task for each request to the billing system as well as dependencies between those to orchestrate correct sequence
• C.Configure an Autotask and integration procedure that orchestrate a series of calles to the billing system via Apigee.
• D.Configure single synchronous callout task and push the entire payload for Apigee to split into series of calls. The asynchronous callout will accept synchronous response from apigee and asynchronous responses from Apigee about the result of the order submission.

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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?

• A.Leverage omni scripts for all used cases to minimize the training efforts for the sales agents.
• B.Leverage guided selling OmniScripts for common use cases and the CPQ cart for other use cases.
• C.Build a custom CPQ Cart using FlexCards and LWC to align to the legacy systems UI
• D.Leverage the CPQ cart for all cases minimize the implementation effort

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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?

• A.This type of modeling is not supported in EPC and modular should follow a flat modelling technique.
• B.Product model uses OOTB features from EPC. Decomposition may fail when the maximum number of products is processed.
• C.Product Model use hierarchical modeling which is natively supports EPC
• D.Modeling children with large cardinalities can result in processing inefficiencies for MACD operations.
• E.Since the product model uses OOTB feature of EPC, MACD operations and decomposition are guaranteed to work well

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United telecom has large product catalog; over time their catalog has increased in number of factors. They have choosen communication cloud as their product of choice to reduce their product catalog size. Which are the two steps shall consultant take to migrate these issue and build a stable product catalog.

• A.Bundle the similar product together to reduce the volume
• B.Make use of object types and attributes to better handle scalability using EPC functionality.
• C.Rationalize the product catalog by identifying duplicates and legacy products that can be removed
• D.Mark the orderable flag on the legacy system to false so that they cannot be used.

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