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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure and Build | 38% | - 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 - Configure service experience and partner collaboration |
| Topic 2: Discovery | 18% | - Analyze existing business processes and workflows - Evaluate performance metrics and identify improvement areas - Assess technical architecture, data governance and limitations - Define rollout strategy and project scope |
| Topic 3: Design | 28% | - Design data models, integrations and security framework - Create technical design documents and architecture plans - Perform gap analysis and define customization needs - Map business requirements to Manufacturing Cloud capabilities |
| Topic 4: Validate and Deploy | 16% | - Support user acceptance testing (UAT) - Execute data validation and migration - Deploy solutions and implement rollout plans - Perform system testing and performance validation |
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NEW QUESTION # 86
A consultant has completed an implementation and needs to import order data into the Manufacturing Cloud.
Which steps must the consultant follow to import all of the relevant data?
Answer: B
Explanation:
A controlled Manufacturing Cloud migration should load only the data required by the target solution and preserve the relationships on which the imported records depend. Salesforce's Manufacturing CSV data- management capability is specifically designed to normalize information from external systems into a defined target structure, map source columns to Salesforce fields, and validate the resulting import.
For Order data, required related records must already be identifiable. An Order commonly depends on records such as Account and related commercial structures, while Order Products depend on Products and Price Book information. Salesforce migration guidance emphasizes loading records in dependency order and correctly remapping relationship identifiers so related records remain associated after migration.
A template containing only required fields minimizes unnecessary transformation, reduces validation errors, and prevents obsolete legacy information from being transferred simply because it existed in the source system. Automations or validation logic that would incorrectly interfere with controlled migration should also be identified and temporarily managed according to the deployment plan.
Importing a legacy extract "as-is" is inappropriate because source and Salesforce schemas rarely align directly. Option B is less precise because a migration template should deliberately contain the required target fields rather than unnecessary data.
Study Guide references/topics: Validate and Deploy - Data Migration; Data Templates; Data Mapping; Record Dependencies; Data Validation.
NEW QUESTION # 87
Which two out-of-the-box actions can be performed on a Sales Agreement?
Answer: A,D
Explanation:
A sales agreement is a long-term contract that defines the terms and conditions for the products and services that you sell to your customers. You can perform various actions on a sales agreement to manage its lifecycle, such as approving, activating, expiring, or deleting it. Two of the out-of-the-box actions that you can perform on a sales agreement are:
Recalculate Actuals: This action updates the actuals for the sales agreement based on the invoices and orders associated with it. You can recalculate actuals manually or schedule it to run automatically at a specified frequency. Recalculating actuals helps you track the progress and performance of the sales agreement over time.
Update Products: This action allows you to add, remove, or modify the products and categories in the sales agreement. You can update products manually or use the mass update feature to apply changes to multiple products at once. Updating products helps you adjust the sales agreement to reflect the changing needs and preferences of your customers.
Sales Agreements and Forecasting in Manufacturing Cloud, Sales Agreement, Get Started with Manufacturing Cloud for Sales, Create and Work with Sales Agreements, Manufacturing Cloud
NEW QUESTION # 88
Universal Containers (UC) wants to achieve a complete overview of its one-off and run-rate business in one forecast and consider implementing a Manufacturing Cloud to leverage Account Based Forecasting.
Which consideration should the Manufacturing Cloud consultant discuss with UC?
Answer: C
Explanation:
A critical limitation of standard Account Forecasting is that it supports the Salesforce standard fiscal year, not custom fiscal years. Salesforce explicitly lists this restriction in the current Account Forecasting considerations.
This is an important design decision because the fiscal calendar directly affects period generation, forecast aggregation, adjustment windows, and how forecast information aligns with financial and operational planning.
Option B is no longer accurate under current functionality. Salesforce supports Opportunity Product Schedules in Account Forecasting when Product Schedules are enabled, allowing forecast calculations to use opportunity quantity and revenue schedules.
For organizations requiring greater flexibility, Salesforce recommends Advanced Account Forecasting for new implementations. Advanced Account Forecasting supports broader data sources, custom measures, sophisticated calculation logic, custom fiscal years, and additional forecasting structures. In fact, Salesforce documents that custom fiscal years can be configured for Advanced Account Forecasting and are required when using weekly forecast frequency.
Therefore, before selecting standard Account Forecasting for UC's combined one-off and run-rate planning, the consultant must establish whether its fiscal-calendar requirements are compatible.
Study Guide references/topics: Design - Account Forecasting Limitations; Fiscal Years; Opportunity Schedules; Advanced Account Forecasting Selection.
NEW QUESTION # 89
Universal Containers is using Account Based Forecasting and expects a 5% increase in the market but has a target growth of 10%.
Where should the Account owner add the additional 5%?
Answer: B
Explanation:
Account Forecasting distinguishes between Market Growth Percentage and Account Growth Percentage because they represent different forecast drivers. Market growth represents the expected change in the broader market for the relevant products, whereas account growth represents the growth expectation attributable to the specific customer account. Salesforce allows both percentages to be supplied when forecasts are generated and subsequently modified during permitted adjustment periods.
In this scenario, the market itself is expected to grow by 5%, so that value belongs in Market Growth. UC's total growth objective is 10%, meaning the remaining 5% represents account-specific incremental growth above the general market expectation. Therefore, the account owner should enter the additional 5% in Account Growth.
Changing Market Growth to 10% would incorrectly represent the external market expectation. Directly replacing the overall account forecast with 10% would also bypass the intended forecasting model in which the administrator's formulas can use the individual growth inputs when forecasts are recalculated.
Study Guide references/topics: Configure and Build - Account Forecasting; Growth Metrics; Forecast Formula Configuration; Forecast Recalculation.
NEW QUESTION # 90
During the discovery phase, sales leadership at Universal Containers says that their run rate business is hard to forecast because their customer constantly orders more or fewer engine control units than contractually agreed upon. Which Manufacturing Cloud capability should a consultant recommend for managers to discuss these variances with sales reps and for sales reps to monitor their customers?
Answer: B
Explanation:
CRM Analytics for Manufacturing is the appropriate capability because the requirement is not simply to calculate a numerical variance; managers and account representatives need actionable visibility into customer performance and forecast deviation.
Manufacturing analytics includes account-oriented dashboards that compare actual performance against planned or forecast values. Salesforce's Account Performance analytics can show actual revenue, revenue projections, and the difference between actual and planned or forecasted values. The broader Manufacturing analytics experience also includes agreement, forecast, product, and account performance information that can be surfaced contextually on Salesforce pages.
A DPE definition is a backend data-transformation and aggregation mechanism. It can calculate and populate data used in forecasting, but by itself it does not provide managers with the interactive visual experience requested here.
Similarly, a formula field could calculate a local record-level difference but would not deliver trend analysis, account-level context, visual comparisons, or managerial collaboration.
Therefore, configuring the Manufacturing CRM Analytics application and making the relevant dashboards available to sales users provides the appropriate business solution.
Study Guide references/topics: Design - CRM Analytics for Manufacturing; Account Performance; Forecast Variance; Run-Rate Business; Embedded Analytics.
NEW QUESTION # 91
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