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| Section | Weight | Objectives |
|---|---|---|
| Design | 28% | - Map business requirements to Manufacturing Cloud capabilities - Perform gap analysis and define customization needs - Design data models, integrations and security framework - Create technical design documents and architecture plans |
| Discovery | 18% | - Assess technical architecture, data governance and limitations - Evaluate performance metrics and identify improvement areas - Analyze existing business processes and workflows - Define rollout strategy and project scope |
| Configure and Build | 38% | - Configure service experience and partner collaboration - Build integrations and data migration processes - Configure core features: Sales Agreements, Forecasting, Rebates - Set up users, permission sets and access controls - Implement Manufacturing Intelligence and analytics |
| Validate and Deploy | 16% | - Support user acceptance testing (UAT) - Deploy solutions and implement rollout plans - Perform system testing and performance validation - Execute data validation and migration |
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NEW QUESTION # 29
Universal Containers is using Sales Agreements and does not want to bring actual orders data into Salesforce.
However, they want to use the actual orders data to analyze the effectiveness of their sales agreements. Which Actuals Calculation option in the Sales Agreement Setup must be selected?
Answer: B
Explanation:
you do not want to bring actual orders data into Salesforce, you can use the Actual Orders API to manually calculate the actual quantities for sales agreements. This option allows you to use external data sources to update the actuals in Salesforce without creating orders or contracts. You can also use the Actual Orders API to refresh the actuals calculations for sales agreements for current and future periods1. References: 1: Refresh Actuals Calculation Action | Manufacturing Cloud Developer Guide | Salesforce Developers2
NEW QUESTION # 30
How does Salesforce Manufacturing Cloud help businesses monitor and evaluate system performance against their business process flows while identifying deviations or areas of improvement?
Answer: C
Explanation:
Analytics provide the measurement layer needed to compare actual business execution with expected business- process outcomes. Manufacturing Cloud exposes operational and commercial information across areas such as Sales Agreements, forecasts, accounts, products, targets, service, warranties, and other manufacturing processes, enabling organizations to analyze performance rather than simply execute transactions.
The current Agentforce Manufacturing Professional exam guide explicitly requires consultants, within Validate and Deploy, to monitor and evaluate system performance against defined business process flows and identify deviations or opportunities for improvement. Manufacturing analytics supports that objective by converting operational data into measurable indicators that can highlight variance, trends, underperformance, forecast accuracy, revenue realization, account health, and other business outcomes.
Forecasting and inventory functionality can certainly contribute important operational information, but they address specific business capabilities rather than the broad requirement to monitor performance against process flows. Similarly, ERP integration supplies or synchronizes data but does not itself perform the evaluation.
Analytics is therefore the appropriate mechanism because it allows stakeholders to observe performance metrics, compare expected and actual outcomes, detect deviations, and identify where process or configuration improvements may be required.
Study Guide references/topics: Validate and Deploy - Performance Monitoring; Business Process Validation; Manufacturing Analytics; KPIs; Deviation Analysis.
NEW QUESTION # 31
Which three actions on the Forecast settings page will trigger the regeneration of all the eligible accounts that satisfy the forecast generation criteria?
Answer: A,B,D
Explanation:
On the Forecast settings page within Salesforce Manufacturing Cloud, actions such as updating the forecast start period, forecast adjustment period, and forecast formula will trigger the regeneration of all the eligible accounts that meet the forecast generation criteria. These updates necessitate a re-evaluation of forecast data to ensure that the forecasts remain accurate and reflective of the latest business conditions and settings. This regeneration process is integral to maintaining the integrity and relevance of forecast data, facilitating effective planning and decision-making based on the most current information .
NEW QUESTION # 32
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 # 33
What is the recommended way to calculate an Account Based Forecast for the next 13 months in the formula builder?
Answer: C
Explanation:
The Account Forecast Formula Builder supports formulas that apply to defined period ranges. Each formula specifies a Start Period and End Period, allowing different calculation logic to be applied to different portions of the rolling forecast horizon.
For a 13-month planning horizon, the established configuration pattern is to create one formula covering periods 1-12 and a separate formula for period 13. This maintains a clear distinction between the standard 12- month planning horizon and the additional trailing period while avoiding unnecessary duplication of formulas for every individual month.
Salesforce's Formula Builder permits either one formula across a range or multiple formulas across separate ranges. Formula expressions can incorporate Orders, Opportunities, Sales Agreements, account metrics, mathematical operators, and functions. The forecast display itself can extend across multiple periods according to the configured display duration.
Validation rules and approval processes do not calculate Account Forecast values, so options A and D do not address the requirement. Creating 13 individual formulas is unnecessarily granular when the same logic applies across the first 12 periods.
Therefore, separate formula ranges for periods 1-12 and 13 provide the appropriate configuration.
Study Guide references/topics: Configure and Build - Account Forecast Formula Builder; Period Ranges; Rolling Forecasts; Forecast Calculation Logic.
NEW QUESTION # 34
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