Salesforce Manufacturing-Cloud-Professional Manufacturing Cloud Accredited Professional Exam (WI25) Exam Practice Test

 A sales agreement can be renewed only when it is in the renewal period, which is defined by the number of days before the end date of the agreement. A sales agreement that is expired or approved can be renewed if it is within the renewal period. However, a sales agreement that is activated cannot be renewed, because it means that the agreement is currently active and has not reached its end date or renewal period. References: Define Renewal Period for Sales Agreements, Renew a Sales Agreement.

 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.

References: Sales Agreements and Forecasting in Manufacturing Cloud, Sales Agreement, Get Started with Manufacturing Cloud for Sales, Create and Work with Sales Agreements, Manufacturing Cloud

 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 time series projection feature in Tableau CRM for manufacturing is designed to track product growth trends. This functionality utilizes statistical order forecasting predictions generated using time series forecasting models, which include order quantity values and order revenue values with a specified confidence level. By focusing on product growth trends, this feature enables manufacturers to analyze and predict future product performance, facilitating informed decision-making and strategic planning .

When you change the forecast formula, the existing forecasts are deleted and new forecasts are generated using the updated formula. This applies to all forecasts, regardless of their status. Therefore, the correct answer is C. Regeneration of all forecast(s). References: Build Formulas to Calculate Forecast, Configure Forecast Metrics and Formulas

When embedding the Manufacturing Agreement Performance and Manufacturing Product Performance dashboards in a lightning page, it is recommended to set the dashboard's height to 120 pixels to ensure optimal display. Additionally, these dashboards can be embedded on any manufacturing cloud page layout without the need for setting up filters, offering flexibility in dashboard placement and enhancing user accessibility to critical performance data across various manufacturing cloud components .

To migrate data from a legacy system to Manufacturing Cloud, the administrator should follow the recommended order of data import. This order ensures that the data dependencies and relationships are maintained and that the data integrity is preserved. The recommended order of data import is as follows1:

Accounts: This is the first object to import, as it represents the customers and their details. Accounts are related to Sales Agreements and Orders, so they must be imported before them.

Sales Agreements: This is the second object to import, as it represents the contractual agreements between the customers and the manufacturer. Sales Agreements are related to Sales Agreement Products and Sales Agreement Schedules, so they must be imported before them.

Sales Agreement Products: This is the third object to import, as it represents the products that are included in the Sales Agreements. Sales Agreement Products are related to Sales Agreement Product Schedules, so they must be imported before them.

Sales Agreement Product Schedules: This is the fourth object to import, as it represents the forecasted quantities and prices of the Sales Agreement Products over time. Sales Agreement Product Schedules are related to Orders, so they must be imported before them.

Orders: This is the fifth and final object to import, as it represents the actual orders placed by the customers. Orders are related to Order Products, which are automatically created when the Orders are imported.

Therefore, the correct answer is B. Accounts, Sales Agreements, Sales Agreements Schedules, Orders. References: Import Data into Manufacturing Cloud

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

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

create a sales agreement, you need to specify the account, the price book, and the product(s) that are part of the agreement. The account is the customer that you have a contractual relationship with. The price book is the list of products and prices that you offer to the account. The product(s) are the items that you agree to sell to the account for a certain quantity, price, and time period. You can also add other optional data elements to the sales agreement, such as start date, end date, schedule frequency, schedule count, and terms and conditions1. References:

Create a Sales Agreement

A rebate type benefit defines the thresholds of an incentive and how payouts are scaled for varying quantities and amounts. The minimum and maximum range values specify the sales targets for each benefit tier. The range values must be continuous and non-overlapping, meaning that the minimum value of one tier must be equal to the maximum value of the previous tier, and there should be no gaps or overlaps between the tiers. Therefore, option A is the only valid sequence of minimum and maximum range values for a rebate type benefit. References: Rebate Management Workflow, Create and Manage Rebate Programs

To delete a sales agreement, the user must have the Delete Sales Agreements permission, which is included in the Manufacturing Sales Agreement Manager permission set. This permission allows the user to delete an active, approved, canceled, or expired sales agreement, as long as it does not have any active orders associated with it. Giving the user the Delete Sales Agreements profile or the Remove Sales Agreement permission will not enable them to delete sales agreements, as these are not valid options in Salesforce Manufacturing Cloud. References: Delete a Sales Agreement, Assign the Manufacturing Permission Sets to Users.

The Service Console for Manufacturing app is a prebuilt app that provides a unified console for customer service representatives (CSRs) to view and manage information related to contacts and accounts, such as Cases, Assets, Warranties, and Claims1.

The app also provides features such as a timeline of interactions, contextual alerts, relevant actions, and knowledge articles to help CSRs resolve customer issues and provide proactive service1.

The app is designed specifically for the manufacturing industry and integrates with other Manufacturing Cloud features such as Sales Agreements and Account Forecasting2.

The other options are incorrect because they do not provide the same level of functionality and integration as the Service Console for Manufacturing app. Option A would only customize the layout of the Case object, but not the other related objects. Option B would enable the generic Service Console app, which does not have the manufacturing-specific components and data sources.

References:

Service Console for Manufacturing - Salesforce

Get Started with Manufacturing Cloud for Service - Salesforce

According to Salesforce Manufacturing Cloud documentation, there is no defined limit on the number of sales agreements that can be activated for the same period, containing the same products, and linked to the same account. However, it is recommended to use sales agreements judiciously and avoid creating duplicate or overlapping agreements that could cause confusion or errors in forecasting and reporting. Sales agreements are meant to capture the negotiated terms and conditions of the run-rate business with customers and partners, and they should reflect the actual demand and order realization data. References: Sales Agreements, Frequently Asked Questions for product keys. | Microsoft Learn, Salesforce Manufacturing Cloud Certification Flashcards | Quizlet.

n: To enable a phased rollout of the Sales Agreements functionality, a consultant should deploy the new functionality and assign the permission set to the designated users. The permission set grants access to the Sales Agreements object and related actions, such as creating, editing, approving, and activating sales agreements. By assigning the permission set to the designated users, the consultant can control who can use the new functionality and monitor the adoption. The consultant does not need to make the Sales Agreements tab visible for the designated users, as the tab is automatically visible once the permission set is assigned. The consultant also does not need to assign the Manufacturing licenses to all of the users, as the licenses are only required for users who need access to the Manufacturing Cloud features, such as account forecasting and data processing engine. References: Get Started with Manufacturing Cloud for Sales, Assign the Manufacturing Permission Sets to Users

To ensure key account managers can generate forecasts using list views for account forecasts, it's crucial that either "All users can see this list view" or "Share list view with groups of users" is selected for the list views. This setting allows for the appropriate visibility and access required for generating accurate and comprehensive forecasts. This is essential for maintaining the integrity and effectiveness of the forecasting process within Salesforce Manufacturing Cloud .

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

Sales agreement cloning is a feature that allows users to create a new sales agreement by copying the details from an existing one. This can save time and effort when creating similar sales agreements for different accounts or time periods. When cloning a sales agreement, the product details, such as product name, quantity, price, and discount, are copied over from the original sales agreement. The new sales agreement is created in draft status, which means it can be edited and submitted for approval. The default start date of the new sales agreement is the current date, not the start date of the original sales agreement. The agreement term details, such as metrics, actuals, and forecasts, are not copied over from the original sales agreement, as they are specific to each sales agreement and time period. References: Clone a Sales Agreement, Sales Agreement Cloning

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

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

 According to the Salesforce Manufacturing Cloud documentation1, the Account Forecast Adjustments (AFA) and Account Forecast (AF) objects do not support triggers. These objects are used to store the manual adjustments and the rolling forecast records of a particular account, respectively. The other two objects, Account Product Period Forecast (APPF) and Account Product Forecast (APF), do support triggers. These objects are used to store the quantity and revenue information of a product in a particular time period and the cumulative values for a product across all periods, respectively. References: Manufacturing Cloud Standard Objects

When facing a deployment error indicating that the Sales Agreement object does not exist in the target environment, the first step the administrator should take is to ensure that Sales Agreements are enabled in the production organization. This is a crucial prerequisite for deploying Sales Agreements-related changes and functionalities from a development sandbox to a production environment, as the absence of enabled Sales Agreements in the target environment can lead to deployment failures .

A sales agreement is a record that captures the terms and conditions of a long-term or run-rate business relationship between a manufacturer and a customer. It can include products, product categories, prices, volumes, schedules, and other details. A sales agreement can have a maximum of 1500 products or product categories and 72 schedules. Contact Salesforce support if you want to increase the limits. Note that having a large number of product or product categories and schedules can affect system performance1. References: Considerations for Working with Manufacturing

 The Mass Update function allows you to update multiple values of a single metric of a sales agreement in the Sales Agreement Terms tab. You can use this function to quickly adjust the planned quantity, revenue, or margin of multiple products and periods with a single action. The available actions are Decrease By, Increase By, and Replace With. These actions let you specify a percentage or an absolute value to decrease, increase, or replace the existing values. For example, you can use the Decrease By action to reduce the planned quantity of all products by 10% for the next quarter. You can also add a note to explain the reason for the mass update. References: Mass Update Sales Agreement Action, Update Multiple Values of Sales Agreements

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 .

To mitigate manual errors in repetitive business processes at Universal Containers, the consultant should recommend leveraging Process Builder and Flow Builder within Manufacturing Cloud. These automation tools allow for the design and implementation of customized workflows and processes that can significantly reduce the likelihood of manual errors, thereby enhancing efficiency and accuracy in the organization's operations .

Upon the installation of the Analytics app, the default dashboards on the Account page include "Accounts agreement performance" and "Forecast analytics for the selected account." These dashboards provide a comprehensive overview of an account's performance in terms of sales agreements and forecast accuracy, allowing for in-depth analysis and strategic planning based on historical and current data.

Before you create the analytics for manufacturing App, you need to ensure that your data meets some specific requirements. One of these requirements is that at least one record must exist in each of the Manufacturing cloud objects to be analyzed, such as sales agreements, account forecasts, account manager targets, and rebates. Otherwise, the data fails the CRM Analytics check and you see an error message. Having records in these objects ensures that the app can import and display relevant data for your business1. References: Data Required to Create the Analytics for Manufacturing App

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

To conduct proper testing of Manufacturing Cloud, the end users need the following items:

Sandbox access: A sandbox is a copy of the production environment that allows users to test changes and features without affecting the live data. Manufacturing Cloud offers different types of sandboxes for different testing purposes, such as learning, pre-release, and base12.

Test data: Test data is a set of realistic and representative data that is used to simulate the actual business scenarios and workflows in Manufacturing Cloud. Test data can be created manually, imported from external sources, or copied from the production environment34.

Process scripts: Process scripts are step-by-step instructions that guide the users through the testing scenarios and expected outcomes. Process scripts help to ensure that the testing is consistent, comprehensive, and aligned with the business requirements . References: Create a Manufacturing Cloud Trial Org, Try Manufacturing Cloud for Free, Create Test Data for Your Full Sandbox, Import Data into Your Org, [Create a Test Plan for Your Salesforce Implementation], [Test Your Salesforce Implementation].

To meet the business requirements of UC, the administrator should add a custom Material dimension to the Forecast Fact and Forecast Set objects. This will allow UC to group and filter the forecast data by the material attribute of the products. The administrator should also clone and use the standard DPE definitions to populate the new custom metrics for the Material dimension. The standard DPE definitions are templates that can be used to aggregate data from various sources, such as sales agreements, orders, opportunities, and custom objects. By cloning and using the standard DPE definitions, the administrator can save time and effort in creating the formulas and filters for the new custom metrics. The administrator does not need to configure a custom Forecast Context or create new DPE definitions from scratch, as these options are more complex and require more customization. References: Create Holistic Forecasts with Advanced Account Forecasting, Set Up Dimensions and Period Groups, Streamline Forecast Calculations with Data Processing Engine Definitions

When an administrator changes the team member hierarchy type for account manager targets, the existing targets are affected by this change. The status of all existing targets becomes read-only, which means that they cannot be edited or deleted. This is to prevent any inconsistency or data loss due to the change in hierarchy. The new hierarchy type will apply only to the new targets that are created after the change. References: Choose Team Member Hierarchy for Account Manager Targets

To create sales agreements from historical data for a Manufacturing Cloud solution, a consultant must consider the following data items: Accounts, Orders, Order Lines, and Products. These are the core objects that are used to create and manage sales agreements in Manufacturing Cloud. Accounts represent the customers or partners that have sales agreements with the organization. Orders and Order Lines represent the actual sales transactions that are associated with the sales agreements. Products represent the items or services that are sold or purchased through the sales agreements. Invoices and Opportunities are not required for creating sales agreements from historical data, as they are not part of the sales agreement object model. Invoices are used to track the billing and payment status of the orders, while Opportunities are used to track the potential sales deals that may or may not result in orders. References: Sales Agreement Object Model, Create a Sales Agreement, Sales Agreement Fields

To meet the requirements of UC, a Manufacturing Cloud consultant should recommend the following features: Partner Visit Management, Action Plans, and Generic Visit Key Performance Indicators. Partner Visit Management helps sales managers schedule visits to dealer and distributor locations, monitor performance, follow up on sales agreements, and capture key metrics1. Action Plans allow sales managers to create lists of tasks and associated assessment indicators that are commonly repeated across multiple visits2. Generic Visit Key Performance Indicators enable sales managers to compare the expected metrics versus the actual metrics for the key performance indicators they defined and then take necessary actions3. These features help UC to standardize the tasks to be performed during visits, understand how effective these visits are in getting partners to renew, and report on this data in Salesforce. The other features are not relevant for the given scenario. Advanced Account Forecasting is used to create holistic forecasts based on sales agreements, orders, opportunities, and account metrics4. CRM Analytics for Manufacturing is used to gain insights into sales performance, pipeline health, and customer satisfaction. Experience Cloud is used to create branded digital experiences for customers, partners, and employees. Service Console for Manufacturing is used to provide customer service and support across multiple channels. References: Partner Visit Management Workflow, Build Distributor Relationships with Partner Visit Management, Strengthen Relationships with Partners, Create Holistic Forecasts with Advanced Account Forecasting, [CRM Analytics for Manufacturing], [Experience Cloud], [Service Console for Manufacturing]

 = These two actions can be taken to give the Account Managers ‘Read’ access to the new custom field on the APF Table. The first action involves cloning the existing permission set that already grants access to the APF Table and its standard fields, and then modifying the cloned permission set to include the new custom field. The second action involves editing the existing permission set directly to add the new custom field. Both actions require the same license type, which is Manufacturing Forecast Psl, to access the APF Table. The other two actions are not valid because they use a different license type, which is Salesforce, that does not support the APF Table. References: = Assign the Permission Set for Advanced Account Forecast Product Category, Create Custom Fields for Account Product Forecast and Account Product Period Forecast Objects, Permission Sets and Licenses for Manufacturing Cloud

To create a custom metric for display on Agreement Terms, you need to create custom fields on the Sales Agreement Product and Sales Agreement Product Schedule objects, and map them using the Data.com Administration tool. The custom fields must have the same data type as the default fields, and only number, currency, and formula field types are available for mapping. Therefore, the correct answer is C. Only number, currency, and formula field types are available for mapping. References: Customize Salesforce Field Mappings, Create Custom Fields for Sales Agreement Products and Schedules

Account forecasts are long-term projections of revenue and volume for accounts based on sales agreements, opportunity products, and account manager targets. Account forecasts can be generated and displayed monthly or quarterly, depending on the business needs. The forecast frequency can be changed in the account forecast settings by an administrator. However, changing the forecast frequency has some consequences that the administrator needs to be aware of. First, a full regeneration of all the eligible account forecasts will be carried out, meaning that all the existing account forecasts will be recalculated based on the new frequency. This may take some time and consume system resources. Second, all the previously active account forecasts will expire, meaning that they will no longer be available for viewing or editing. This is to avoid confusion and inconsistency in the forecast data. Therefore, the administrator should carefully consider the impact of changing the forecast frequency and communicate the change to the account managers and other stakeholders. References: Define Account Forecast Settings, Salesforce Manufacturing Cloud Flashcards, Configure Forecast Generation and Display Settings

Manufacturing Cloud provides three permission sets related to Sales Agreements, Account Forecasting, and Account Manager Targets. These permission sets give users access to the features and data models that are specific to the manufacturing industry. The permission sets are:

Manufacturing Account Forecast: This permission set lets users track account forecasts for quantity and revenue metrics of products. Users can view and edit the Account Product Forecast and Account Product Period Forecast objects, as well as the related objects such as Account, Product, and Sales Agreement.

Manufacturing Sales Agreements: This permission set gives users access to sales agreements that work with orders, contracts, and more. Users can view and edit the Sales Agreement and Sales Agreement Line Item objects, as well as the related objects such as Account, Product, and Order.

Manufacturing Account Manager Target: This permission set gives users access to Account Manager Target features that include creating, assigning, and distributing targets. Users can view and edit the Account Manager Target and Account Manager Target Line Item objects, as well as the related objects such as Account, Product, and Sales Agreement.

References: Assign the Manufacturing Permission Sets to Users, Set Up Users and Permissions for Manufacturing Cloud

To automate the process of showing actual orders in sales agreements, the consultant should navigate to the Sales Agreement Setup page and select an option from the Actuals Calculation section. This setup allows for the automatic calculation and display of actual quantities for each schedule when a sales agreement is active, thereby streamlining the process and ensuring the accuracy of data presented in sales agreements .