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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Einstein Activity Capture for Manufacturing | 15% | - Configure Einstein Activity Capture - Synchronize emails and events - Understand data privacy considerations - Manage connected calendars |
| Topic 2: Reports and Dashboards | 15% | - Build executive dashboards - Create and customize Manufacturing Cloud reports - Configure report sharing and subscriptions - Use analytics for decision making |
| Topic 3: Manufacturing Cloud Overview | 10% | - Describe Manufacturing Cloud value proposition - Understand use cases for manufacturing organizations - Identify key capabilities and features |
| Topic 4: Account-Based Forecasting | 20% | - Manage demand forecasts at account level - Understand forecast adjustment workflows - Set up forecast sharing and visibility - Configure Forecast Trending |
| Topic 5: Administration and Configuration | 20% | - Manage users and roles in Manufacturing Cloud - Customize page layouts and record types - Implement security settings - Configure product and asset management - Set up territory management |
| Topic 6: Predictable Service Management | 20% | - Implement service case automation - Configure service entitlements and contracts - Manage service levels and milestones - Track service performance metrics |
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NEW QUESTION # 107
Which two statements are accurate when embedding the Manufacturing agreement Performance and Manufacturing Product Performance dashboards in lightning page?
Answer: B,D
Explanation:
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 .
NEW QUESTION # 108
Universal Containers (UC) wants to achieve a complete overview of its one-off and run-rate business in one forecast and consider implementing Manufacturing Cloud to leverage Account Based Forecasting.
Which consideration should the Manufacturing Cloud consultant discuss with UC?
Answer: B
NEW QUESTION # 109
A regional sales manager for Universal Containers would like to forecast at the product hierarchy level.
How should the system administrator set up Advanced Account Forecasting?
Answer: A
Explanation:
To forecast at the product hierarchy level, the system administrator needs to create a flow that modifies the Advanced Account Forecasting to include the product category as a custom dimension. The product category is a field on the product object that defines the hierarchy of products. By adding the product category as a custom dimension, the system administrator can enable the regional sales manager to view and adjust forecasts based on different product categories. The flow should use the Data Processing Engine to aggregate data from orders, opportunities, sales agreements, and other custom objects by product category, and then use the Calculate Advanced Account Forecast and Update Advanced Account Forecast Set Partner invocable actions to generate the forecasts. The flow should also assign the appropriate forecast set to the regional sales manager based on their role and region. References: Create Holistic Forecasts with Advanced Account Forecasting, Example: Generate Forecasts Across Multiple Regions with Advanced Account Forecasting, Calculate Account Forecasts Using Flows
NEW QUESTION # 110
Which three permission set are available with Manufacturing Cloud?
Answer: C,D,E
Explanation:
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.
Assign the Manufacturing Permission Sets to Users, Set Up Users and Permissions for Manufacturing Cloud
NEW QUESTION # 111
UC is implementing Advanced Account Forecasting for its national business. UC has three primary product materials it wants to forecast for each of its key distribution partners. Each of UC's individual products has one of these material attributes on its record, but UC doesn't need to see the product detail in its forecast.
What should the administrator do to meet these business requirements?
Answer: B
Explanation:
Advanced Account Forecasting is designed to support business-specific forecast dimensions without requiring the organization to expose unnecessary product-level detail. Salesforce defines a dimension as an attribute used to categorize forecast data. For a new Material dimension, the administrator extends the forecast fact structure with the appropriate field, defines that field as a dimension source, and includes the dimension in the applicable forecast set.
The preferred implementation pattern is to leverage Salesforce-provided Data Processing Engine templates rather than develop the complete processing model from the ground up. Salesforce specifically documents that the standard DPE templates can be cloned and customized to accommodate additional dimensions and measures. The cloned definitions can then aggregate source data into the Advanced Account Forecast Fact records according to the required dimensional structure.
A custom forecast context is unnecessary because the distribution partner remains the forecast context; Material is the additional grouping dimension.
This structure keeps the forecast concise for business users while preserving the material-level segmentation required for planning and reporting.
Study Guide references/topics: Configure and Build - Advanced Account Forecasting; Forecast Sets; Custom Dimensions; Data Processing Engine customization.
NEW QUESTION # 112
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