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| Section | Weight | Objectives |
|---|---|---|
| Design | 28% | - Map business requirements to Manufacturing Cloud capabilities - Design data models, integrations and security framework - Perform gap analysis and define customization needs - Create technical design documents and architecture plans |
| Validate and Deploy | 16% | - Deploy solutions and implement rollout plans - Support user acceptance testing (UAT) - Execute data validation and migration - Perform system testing and performance validation |
| Configure and Build | 38% | - Configure service experience and partner collaboration - Implement Manufacturing Intelligence and analytics - Build integrations and data migration processes - Configure core features: Sales Agreements, Forecasting, Rebates - Set up users, permission sets and access controls |
| Discovery | 18% | - Define rollout strategy and project scope - Evaluate performance metrics and identify improvement areas - Analyze existing business processes and workflows - Assess technical architecture, data governance and limitations |
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NEW QUESTION # 80
Universal Containers would like to use Manufacturing Cloud to forecast its spare part demand based on the number of defective part cases logged by customers and part orders requested by distribution partners.
Which customization is required for Advanced Account Forecasting to meet these requirements?
Answer: B
Explanation:
Spare-parts demand forecasting is a service forecasting use case, and Salesforce explicitly requires a different data-processing model from the standard sales-oriented Advanced Account Forecasting implementation.
Salesforce documents that service revenue and spare-parts demand forecasts require organizations to create custom forecast fact objects together with Data Processing Engine templates and jobs. Those DPE definitions can then be invoked through custom flows to generate the required forecasts.
This distinction is technically important because the underlying forecast inputs differ from conventional sales forecasting. UC needs to derive expected spare-parts demand from signals such as defective-part Cases and requests or Orders originating through distribution partners. The custom fact structure defines the service- specific forecast grain and measures, while the custom DPE logic retrieves, filters, transforms, aggregates, and writes those service signals into the forecast facts.
Salesforce explicitly notes that the default Advanced Account Forecast Fact objects and DPE templates supplied for sales use cases do not work for service use cases. Therefore, the Product Category forecasting prebuilt asset is not sufficient for this requirement.
A custom fact table alone would provide storage but not the processing logic necessary to generate the forecasts.
Study Guide references/topics: Configure and Build - Service Revenue and Spare Parts Demand Forecasting; Custom Forecast Fact Objects; Custom DPE Definitions; Advanced Account Forecasting.
NEW QUESTION # 81
An administrator of an organization would like to configure out-of-the-box available dashboards in Manufacturing Cloud:
* Target Attainment
* Team Performance
* Manufacturing Home Page
* Key Account Manager Home
Which role of the organization are all of these dashboards fully suited to?
Answer: C
Explanation:
The complete dashboard combination is designed to support the Head of Sales persona because that role requires both enterprise-level performance visibility and team-target analysis.
Salesforce's Manufacturing analytics training maps the Head of Sales role directly to Target Attainment, Team Performance, Manufacturing Home Page, and Key Account Manager Home. The Head of Sales uses these dashboards to evaluate overall planned and new business, monitor forecast and target attainment, identify opportunities for growth, and understand performance across the sales organization.
An individual key account manager primarily focuses on personal targets, customer accounts, agreement performance, cross-sell opportunities, and individual forecast performance. While that user can benefit from Manufacturing Home and Key Account Manager Home, the full combination that includes organizational Target Attainment and Team Performance is broader than a typical individual-contributor requirement.
Security personnel do not use these commercial Manufacturing Analytics dashboards as their primary operational tools.
The four-dashboard combination therefore aligns with sales leadership, particularly the Head of Sales, who needs consolidated insight into company performance, individual and team attainment, forecasting, and commercial opportunities.
Study Guide references/topics: Configure and Build - CRM Analytics for Manufacturing; Head of Sales Persona; Target Attainment; Team Performance; Manufacturing Home.
NEW QUESTION # 82
A client has provided a list of unstructured, unprioritized requirements. What should a consultant do to advance to the next step of the project?
Answer: A
Explanation:
A consultant should prepare a template with the requirements and their associated priority, and work with the client to evaluate each item. This is the best way to advance to the next step of the project, because it helps the consultant and the client to align on the scope, objectives, and expectations of the project. It also allows the consultant to understand the client's business needs, challenges, and opportunities, and to prioritize the requirements based on their value and feasibility. By working collaboratively with the client, the consultant can also build trust and rapport, and ensure that the client is engaged and satisfied with the project outcome. References:
Manufacturing Cloud - Salesforce
Considerations for Working with Manufacturing - Salesforce
NEW QUESTION # 83
Universal Containers (UC) wants to use Sales Agreements to track long-term agreements with its key customers. Along with planned revenue and quantity and actual revenue and quantity, UC needs to track the minimum inventory quantity required. UC's implementation partner has added a new Minimum Inventory number field to the Sales Agreement Product Schedule object.
What else does UC need to do to allow users to see and edit minimum inventory on their agreements?
Answer: B
Explanation:
Minimum Inventory is a custom Sales Agreement metric. Salesforce requires corresponding custom fields on both the Sales Agreement Product and Sales Agreement Product Schedule objects when a metric must be displayed and managed through Agreement Terms.
Because the schedule-level Minimum Inventory field already exists, UC must create the corresponding custom field on Sales Agreement Product and map it to the Sales Agreement Product Schedule field.
Salesforce allows Number, Currency, and Formula fields to participate in these mappings. After the mapping is configured, the metric must be added to a metric group so users can view and edit it in the Agreement Terms table.
The product-level field represents the metric at the Sales Agreement Product level, while the schedule field stores the metric for individual periods. If aggregated behavior is required, Salesforce also supports a Roll-Up Summary field on Sales Agreement Product for Number or Currency values stored on schedules.
Adding the field directly to Sales Agreement does not provide the required product-and-period metric structure. Creating only a product field without mapping it also leaves Manufacturing Cloud unable to treat the two fields as a unified Agreement Terms metric.
Study Guide references/topics: Configure and Build - Sales Agreement Custom Metrics; Field Mapping; Metric Groups; Agreement Terms.
NEW QUESTION # 84
An organization would like to show its account managers specific data points for Sales Agreements terms based on business needs.
What is the first step in providing these insights to the account reps?
Answer: A
NEW QUESTION # 85
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