Manufacturing-Cloud-Professional Salesforce Manufacturing Cloud Accredited Professional Exam (SP25) Free Practice Exam Questions (2025 Updated)

According to the Salesforce Manufacturing Cloud documentation, the ‘Delete sales agreement’ profile permission allows users to delete an active, approved, canceled, or expired sales agreement. However, they can only delete a sales agreement if it doesn’t have any active orders associated with it. Only users with this permission will see the ‘Delete’ option on the sales agreement record header. Account owners or other users without this permission will not see the ‘Delete’ option. The status of the sales agreement does not affect the ability to delete it, as long as there are no active orders1. References: 1: Delete a Sales Agreement - Salesforce

The best way to reassure the client that the data has been accurately calculated is to launch the calculations of the Advanced Account Forecast and compare the values with the legacy system. This will ensure that the forecast metrics, such as planned revenue, actual revenue, forecast quantity, and forecast revenue, are consistent and correct. The administrator can use the Data Processing Engine templates to configure the calculations and run them manually or on a schedule1. The administrator can also view the forecast results in the Accounts Health dashboard or the Account Forecast tab2. Using Data Loader to generate a .csv file and manually compare it to import files is not a reliable method, as it may introduce errors or inconsistencies in the data format or values. Requesting the users to verify the Advanced Account Forecast values of their accounts is not a feasible method, as it may be time-consuming, impractical, or inaccurate, depending on the number and complexity of the accounts. References: Learn How Forecast Data Is Created, View and Adjust Forecasts

A System Integration Testing (SIT) environment is used as an environment to perform system-to-system testing. This means that the SIT environment is used to test the integration of different systems or components that are part of the Salesforce Manufacturing Cloud solution. The SIT environment allows the verification of the functionality, performance, and reliability of the integrated systems, as well as the identification and resolution of any defects or issues that may arise during the integration process. The SIT environment is typically a replica of the production environment, but with a smaller data set and lower security requirements. The SIT environment is also used to validate the data migration and synchronization between the source and target systems, as well as the compatibility and interoperability of the APIs and web services that are used for the integration. References:

Manufacturing Cloud - Salesforce

How to Perform Automated Integration Testing in Salesforce

Automate and Test During Integration

Benefit mappings are used to define the product dimensions for a rebate benefit. Product dimensions are the criteria that determine which products are eligible for a rebate benefit. For example, you can create a product dimension based on product family, product line, or product category. You can also create custom product dimensions to suit your business needs1. To create a product dimension for a rebate benefit, you need to add a benefit mapping related list to the benefit record and specify the dimension type and values2. References: 1: Define Product Dimensions for Rebate Benefits | Salesforce Help3, 2: Create Benefits and Activate a Program Unit | Salesforce Trailhead4

Manufacturing Actions are custom actions that are available in Process Builder and Flow Builder to automate common tasks related to Manufacturing Cloud objects. Out of the box, there are two Manufacturing Actions that can be performed in Process Builder and Flow Builder: Mass Update Account Forecast and Mass Update Sales Agreement. Mass Update Account Forecast allows you to update multiple account forecasts at once based on a filter criteria. Mass Update Sales Agreement allows you to update multiple sales agreements at once based on a filter criteria. These actions can help you save time and ensure data accuracy by applying bulk changes to your account forecasts and sales agreements. References: Manufacturing Actions | Manufacturing Cloud Developer Guide | Salesforce Developers, Salesforce Manufacturing Cloud Professional Dumps Updated - Dumpsbase, Salesforce Manufacturing-Cloud-Professional Exam Dumps - DumpsMate

 A sales agreement in Manufacturing Cloud represents a long-term agreement between a buyer and a seller to negotiate price and volume of products1. It provides a consolidated view of all the terms of the agreement, including the duration, products, price, planned quantities, and actual quantities2. A sales agreement can be created from an external source, such as a quote, opportunity, or custom object3. A sales agreement can also be used to create accurate account forecasts based on the planned and actual quantities4. References: Sales Agreements and Forecasting in Manufacturing Cloud, Get Started with Sales Agreements, SalesAgreement, Sales Agreement

 Manufacturing Cloud comes with a predefined manufacturing partner template that can help manufacturers collaborate efficiently with their channel partners on sales agreements, forecasts, leads, and opportunities. The manufacturing partner template is a responsive portal that provides partners with access to knowledge articles, dashboards, and reports. Partners can also update products, prices, quantities, and adjustments on sales agreements, as well as view and edit account forecasts. The manufacturing experience cloud template is built on Experience Cloud, which allows you to customize the site with branding, themes, components, and pages. You can also assign user permissions and roles for the site to control the access and visibility of your partners. References: Engage with Your Partners, What Is Manufacturing Cloud?, Manufacturing - Salesforce.com, Simplify Partner Engagement: A Guide for Manufacturers

 Rebate Management allows businesses to create and manage rebate programs that reward their partners for meeting sales targets. A rebate program consists of a rebate type, which defines the incentive structure, and a rebate agreement, which specifies the eligible partners and products. A rebate type benefit is a component of a rebate type that defines the thresholds of an incentive and how payouts are scaled for varying quantities and amounts. A benefit tier is a subcomponent of a rebate type benefit that specifies a range of sales targets and applicable benefit values. The minimum and maximum range values of a benefit tier must be positive integers and must not overlap with other benefit tiers in the same benefit. Therefore, the sequence of 0 to 100 is valid, while the other sequences are not. References: Rebate Management, Create and Manage Rebate Programs, Rebate Management Workflow

 The Forecast Analysis dashboard in Tableau CRM for Manufacturing is a tool that helps business analysts evaluate the accuracy and quality of the account forecasts generated by the Manufacturing Cloud. It allows them to compare the actual revenue with the forecasted revenue, as well as the planned revenue, for each account, product, and product category. It also shows the mean absolute percentage error (MAPE) in the forecast, which is a measure of how close the forecast is to the actual revenue. The lower the MAPE, the better the forecast. The dashboard also provides other metrics, such as forecast bias, forecast coverage, and forecast attainment, to help analysts identify areas of improvement and optimize the forecasting process1. References: Protect and Grow Your Business Unit, Forecast Analysis Dashboard, How Forecasting Works in Tableau

You can use apex triggers to populate a custom metric on the forecast grid. A custom metric is a field that you can add to the Account Product Forecast (APF) or Account Product Period Forecast (APPF) objects to display additional information on the forecast grid. For example, you can create a custom metric to show the profit margin or the cost of goods sold for each product. To populate a custom metric, you need to write an apex trigger on the APF or APPF object that calculates the value of the custom metric based on the data in the record. You can use the standard or custom fields in the APF or APPF object as inputs for the calculation. For example, you can use the Planned Quantity, Planned Revenue, and Product Cost fields to calculate the profit margin. You can also use the fields from the related objects, such as the Account, Product, or Sales Agreement, by using the relationship queries. For example, you can use the Account Name or the Sales Agreement Status fields to filter the records for the calculation. After writing the apex trigger, you need to deploy it to your org and activate it. Then, you can add the custom metric field to the forecast grid layout and see the values populated on the grid. References: Create Custom Metrics for Account Forecasts, Apex Developer Guide, Relationship Queries

Account Manager Targets allow UC to set and track quantity and revenue targets at the manager level, and distribute them to their team members and accounts1.

Sales Agreements allow UC to manage run-rate or long-term negotiated business with their customers, and track the order realization against the agreed terms1.

Advanced Account Forecasting allow UC to forecast their sales on a rolling 12-month basis using data from opportunities, sales agreements, past orders, and market data1.

CRM Analytics for Manufacturing App is a prebuilt app that provides insights into sales performance, account health, and customer satisfaction, but it does not address the requirements of UC2.

Account Based Forecasting is a feature that allows UC to forecast their sales based on account hierarchy, but it does not use data from sales agreements or market data3.

if Sales Agreement List View is not selected in the Account Forecast Calculation Settings, no sales agreements will be considered when calculating the sales agreement metric values of account forecasts. This means that the account forecasts will only reflect the opportunity metric values, and not the sales agreement metric values. To include the sales agreement metric values in the account forecasts, you need to select a sales agreement list view that defines which sales agreements to use for the calculations. References: 1: Configure Account Forecast Calculation Settings - Salesforce

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

Data Processing Engine (DPE) is a feature of Rebate Management that allows you to transform data that is available in your Salesforce org and write back the transformation results as new or updated records. You can use DPE to process data for standard and custom objects. Rebate Management has DPE templates that you can clone and customize to suit your business needs. The templates either help you to aggregate transactions by different criteria, or help you to manage other rebate processes. The out-of-the-box DPE jobs in Rebate Management use the templates to query, extract, filter and aggregate journal transactions based on the eligibility criteria and calculation definitions of the rebate types. The aggregated data is then stored in the Rebate Member Product Aggregate object, which is used to calculate the payouts for the program members. References: Data Processing Engine in Rebate Management | Salesforce Trailhead Module, Data Processing Engine Templates with Rebate Management - Salesforce, Data Processing Engine | Rebate Management Developer Guide | Salesforce Developers, Data Processing Engine, Batch Management, and Invocable Actions | Rebate Management Developer Guide | Salesforce Developers

 You can recalculate payouts for closed periods in two situations: when the member benefits change due to changed requirements, or when the member submits transactions after the payout period is closed, or there is an error in the payout calculation. In both cases, you need to modify the payout records and run the rebate flow again to recalculate the payouts. The first method is to recalculate payouts due to changed benefits, which means that the benefit structure and terms have changed after the payout was calculated for a period. The second method is to recalculate payouts with no charge in benefits, which means that the benefit structure and terms have not changed, but the transactions or the payout calculation have changed. References: Recalculate Payouts for Closed Periods, Rebate Management

The Advanced Account Forecast object is used to track the expected and actual order values for each account and product family. It allows field reps to compare the forecasted and actual order values for each account and product family, and update them as needed. The Advanced Account Forecast object also enables field reps to collaborate with their distributors and align on the sales agreements, orders, and brand-promotion campaigns12. References: Meet Manufacturing Cloud, Strengthen Relationships with Partners

To configure forecasting in Manufacturing Cloud, UC needs to create and configure forecast sets, which are the primary building blocks for generating forecasts1.

A forecast set contains information such as the forecast period, the forecast fact object, the forecast frequencies, the data processing engine definitions, the forecast dimensions, and the forecast measures1.

UC has two different divisions with different forecasting needs, so they need to create two forecast sets, one for each division2.

Each forecast set needs to have a different period group, which defines the time periods for forecasting. For the stock parts division, UC needs a monthly period group, and for the engineered-to-order parts division, UC needs a quarterly period group2.

Each forecast set also needs to have two forecast metrics, which are the measures that UC wants to forecast. In this case, UC wants to forecast revenue and quantity for both divisions2.

The other options are incorrect because they do not match the requirements of UC. Option B would create only one forecast set, which would not allow UC to differentiate between the two divisions. Option C would create only two forecast metrics, which would not allow UC to forecast both revenue and quantity.

 These three user types can be selected to receive credit for an order in the Tableau CRM configuration wizard when calculating actuals against account manager targets. The configuration wizard guides users through the creation of an app from the Analytics for Manufacturing template and allows them to customize the data and settings for the app. One of the settings is to choose who gets credit for the orders, which determines how the actual revenue is attributed to the account managers. The user can select one of the following options:

Account Owner: This option credits all orders to the account owner’s actual revenue, regardless of who owns the order. This is useful when the account owner is responsible for the overall relationship and revenue of the account.

Order Owner: This option credits all orders to the order owner’s actual revenue, regardless of who owns the account. This is useful when the order owner is responsible for the individual order and revenue of the order.

Other User: This option credits all orders to a custom user’s actual revenue, based on a custom lookup field for a user on the account. This is useful when there is a different user, such as a sales engineer or a partner, who is responsible for the order and revenue of the order.