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| Section | Weight | Objectives |
|---|---|---|
| Test and Deploy | 13% | - Deployment planning and execution - Testing strategy and scenario design - User acceptance testing management |
| Implementation | 38% | - Order Capture setup - Product and pricing configuration - License and access management - Data migration and integration - Industry-specific component setup - Initial setup and configuration - Contract management configuration - Post-sales process enablement |
| Solution Design | 36% | - Define security and data access model - Understand deployment tools and best practices - Validate data model fitment - Design future state business processes - Map Energy and Utilities Cloud components to requirements - Define future state architecture |
| Discovery | 13% | - Understand current state architecture - Document customer business needs, value and vision - Identify gaps between requirements and standard capabilities |
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NEW QUESTION # 44
A developer discovers that the Lightning Web Components in their Energy and Utilities Cloud org aren't being rendered correctly.
What could be the likely reason for this issue?
Answer: C
NEW QUESTION # 45
An energy company wants to accurately price quotes for new. small and medium businesses, which two scenarios would require integration to a third-party system?
Answer: A,C
Explanation:
For accurately pricing quotes for new, small, and medium business customers, integration with third-party systems is necessary in scenarios where meter technical data is required from the Distributed System Operator (DSO) to confirm supply capability (B), and where credit ratings are used as a pricing input (D). Integrating with the DSO's systems ensures accurate supply feasibility assessments, while integrating with credit rating agencies provides the necessary financial risk insights to inform pricing decisions effectively. Reference = Salesforce Energy and Utilities Cloud documentation on pricing and quoting emphasizes the need for accurate data, which may require integration with external systems for meter data and credit assessments. Information on integrating Salesforce with external systems for enhanced quoting accuracy can be found in Salesforce's integration and API documentation: https://developer.salesforce.com/docs/atlas.en-us.api.meta/api/
NEW QUESTION # 46
An energy company is an energy retailer with a global presence. They require a solution that can generate, redline, and manage contracts.
Which of the following Energy and Utilities Cloud solutions can be used?
Answer: A
NEW QUESTION # 47
An energy company wants to calculate the estimated monthly amount a customer needs to pay.
How can a consultant configure Energy and Utilities Cloud CPQ to calculate monthly commodity pricing?
Answer: C
Explanation:
To calculate the estimated monthly amount a customer needs to pay for their commodity usage, configuring Energy and Utilities Cloud CPQ to use usage-based pricing is the most appropriate approach. This method allows for the calculation of charges based on the actual consumption of the commodity, which can vary from month to month. Usage-based pricing provides the flexibility to accurately reflect a customer's consumption patterns in their billing, offering a transparent and fair pricing model that aligns with the variable nature of commodity usage. Reference = Salesforce Industries CPQ documentation details how to configure and use usage-based pricing, emphasizing its suitability for industries where consumption can vary significantly, such as energy and utilities: https://help.salesforce.com/articleView?id=cpq_usage_based_pricing.htm&type=5
NEW QUESTION # 48
An energy company must include a clause about additional operational costs in contracts that exceed 10 MegaWatts in their DOCX Template. The information about energy volume is already available in the Contract object.
How should the administrator proceed to include this condition in the document template to show this clause only when the contract energy volume is higher than 10 MegaWatts?
Answer: C
Explanation:
To include a specific clause in a DOCX template based on the condition that the contract energy volume is higher than 10 MegaWatts, creating a custom formula within a DataRaptor Extract is the appropriate approach. This method allows for dynamic content generation in documents based on data-driven conditions. By utilizing a custom formula in DataRaptor Extract, the administrator can specify that the additional operational costs clause should only appear in the generated document when the contract's energy volume exceeds the defined threshold. Reference = The use of DataRaptor for dynamic document content generation is detailed in the Salesforce Industries CPQ documentation, where it outlines how to use DataRaptor Extracts to manipulate and conditionally display data in templates: https://help.salesforce.com/articleView?id=industries_cpq_dataptor.htm&type=5
NEW QUESTION # 49
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