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Salesforce Manufacturing Cloud Accredited Professional (AP-213) Exam Questions
- Topic 1: Discovery: In this topic, the Salesforce Manufacturing Cloud Consultant get a thorough analysis of existing business workflows to pinpoint blockers, inefficiencies, and pain points. Sub-topics also focus on assessing business requirements, key performance metrics, and integration dependencies. Additionally, crafting a rollout strategy for multi-country deployments and determining feature priorities, scope are also covered here.
- Topic 2: Design: It focuses on translating discovery phase insights into detailed technical and business design documents. By mapping Manufacturing Cloud's capabilities to business needs and conducting gap analyses, the consultant identifies necessary customizations. Moreover, the emphasis is on ensuring the technical and operational blueprint maximizes efficiency.
- Topic 3: Configure and Build: In this topic, the Salesforce Manufacturing Cloud Consultant configures the system to meet diverse business and technical requirements. Tasks include setting up user permissions, configuring Manufacturing Intelligence, Service Experience, and partner frameworks, and building third-party integrations. The consultant also executes data migration and aligns configurations with industry best practices. This topic evaluates the expertise in translating business models into a functional system that supports strategic decision-making and operational needs within Manufacturing Cloud.
- Topic 4: Validate and Deploy: In this topic, the Salesforce Manufacturing Cloud Consultant learn to ensure that the system meets business and technical requirements by monitoring performance, supporting user acceptance testing (UAT), and conducting system integration testing (SIT). This topic measures proficiency in executing deployment tools and techniques that align with the defined business processes and objectives, ensuring a successful go-live phase.
Free Salesforce Manufacturing Cloud Accredited Professional (AP-213) Exam Actual Questions
Note: Premium Questions for Manufacturing Cloud Accredited Professional (AP-213) were last updated On Apr. 11, 2026 (see below)
What is required before the Analytics for Manufacturing App can be created?
The Analytics for Manufacturing App is a prebuilt app that includes dashboards to visualize and analyze data from various Manufacturing Cloud objects, such as sales agreements, account forecasts, account manager targets, and rebates. Before you can create the app, you need to ensure that your data meets some specific requirements, otherwise the app creation fails. One of the requirements is that at least one record must exist in each of the Manufacturing Cloud objects to be analyzed, such as Order, Sales Agreement, Account Forecast, and so on. This ensures that the app has some data to work with and can generate meaningful insights.The other requirements are related to record types, permissions, and field-level security1.Reference:Data Required to Create the Analytics for Manufacturing App,Set Up Analytics for Manufacturing,Deploy CRM Analytics for Manufacturing.
Universal Containers (UC) is looking to improve visibility into its long-term agreements and forecasts. A business analyst has gathered UC's requirements and determined a few key requirements that they need compared to standard functionality.
1. UC tracks its long-term agreements by planned quantity and planned revenue at the product category level.
2. UC has a custom fiscal year and tracks its forecast weekly.
3. UC needs to see the ordered quantity, revenue, shipped quantity, and revenue in its forecast metrics. 4) The primary dimension in UC's forecasts is the product category.
What should be customized in Manufacturing Cloud to accomplish the business requirements?
Data Processing Engine (DPE) Templates are used to customize the data model and calculations for account-based forecasting in Manufacturing Cloud. DPE Templates allow users to define the dimensions, metrics, and formulas for their forecasts based on their business needs. In this case, UC needs to customize the DPE Template to include the product category as a dimension, and the ordered quantity, revenue, shipped quantity, and revenue as metrics. UC also needs to specify the custom fiscal year and the weekly forecast frequency in the DPE Template. The other options are not relevant for this requirement. Sales Agreement Metrics are used to track the performance of sales agreements, not forecasts. Advanced Account Forecast Fact object is a standard object that stores the forecast data, not a customization option.Reference:Customize Data Processing Engine (DPE) Templates,Account-Based Forecasting in Manufacturing Cloud
Which two key performance indicators can be calculated on the Forecast Analysis dashboard in Tableau CRM for Manufacturing?
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.Reference:Protect and Grow Your Business Unit,Forecast Analysis Dashboard,How Forecasting Works in Tableau
An account manager needs to analyze the business performance of several business units and wants to create a sales forecast based on customer accounts, products, and business units.
Which forecast solution provides the metrics the account manager is looking for?
The account manager looking to analyze business performance across various units and create a sales forecast based on customer accounts, products, and business units should use Advanced Account Forecasting. This solution generates baseline 360-degree forecasts considering opportunities, orders, sales agreements, historical orders, and other custom measures, providing a holistic view of business aspects .
When discussing the business requirements for a Manufacturing Cloud implementation design, what is a consideration when analyzing data in existing third-party systems?
: When designing a Manufacturing Cloud implementation, it is important to consider the data sources and quality of the existing third-party systems that will be integrated with Manufacturing Cloud. One of the key considerations is to determine the system of record for each data category required by the business, such as customer information, product data, order history, inventory levels, and so on. The system of record is the authoritative source of data that is trusted and maintained by the business. By identifying the system of record for each data category, you can ensure data consistency, accuracy, and integrity across the integrated systems. You can also avoid data duplication, conflicts, and errors that may arise from having multiple sources of data for the same category.Reference:What Is Manufacturing Cloud?,Data Integration
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