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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Discovery | 18% | - Analyze existing business processes and workflows - Define rollout strategy and project scope - Assess technical architecture, data governance and limitations - Evaluate performance metrics and identify improvement areas |
| Topic 2: Configure and Build | 38% | - Configure core features: Sales Agreements, Forecasting, Rebates - Set up users, permission sets and access controls - Implement Manufacturing Intelligence and analytics - Build integrations and data migration processes - Configure service experience and partner collaboration |
| Topic 3: Validate and Deploy | 16% | - Support user acceptance testing (UAT) - Deploy solutions and implement rollout plans - Perform system testing and performance validation - Execute data validation and migration |
| Topic 4: Design | 28% | - Design data models, integrations and security framework - Perform gap analysis and define customization needs - Create technical design documents and architecture plans - Map business requirements to Manufacturing Cloud capabilities |
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This is much alike our AP-213 exam with the only difference of providing services to our desktop users. It is compatible with Windows computers. Candidates find it easy to do self-assessment and they get maximum benefit by practicing Salesforce Accredited Agentforce Manufacturing Professional (AP-213) test available only here. The Salesforce Accredited Agentforce Manufacturing Professional (AP-213) questions provided here are compiled by over 90,000 competent professionals who handpicked all of these questions for your evaluation and concept-building.
NEW QUESTION # 46
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?
Answer: C
Explanation:
Advanced Account Forecasting is the appropriate solution because the business requires forecasting across multiple configurable dimensions-including customer accounts, products, and business units.
Salesforce defines Advanced Account Forecasting dimensions as qualitative attributes that group or segment forecast information. Supported business concepts can include product, region, customer segment, business unit, inventory location, and custom organizational dimensions.
Advanced Account Forecasting can also use separate forecast sets for different business units or other business contexts. A forecast set controls dimensions, measures, period groups, formulas, DPE definitions, and forecast-generation behavior, enabling the organization to support multiple forecasting objectives within one Manufacturing Cloud implementation.
Standard Account Forecasting is primarily account- and product-focused and is substantially less extensible.
Account Manager Targets is not a forecasting engine; it allocates organizational performance targets among users, accounts, products, and time periods.
The requirement to evaluate performance across several business units therefore makes Advanced Account Forecasting the correct architectural choice because it provides the required multidimensional model and flexible metric framework.
Study Guide references/topics: Design - Advanced Account Forecasting; Custom Dimensions; Business Units; Forecast Sets; Multi-Enterprise Forecasting.
NEW QUESTION # 47
Universal container wants to enter a sales agreement for Widget A, Which three minimum data element required on sales agreement
Answer: D
Explanation:
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
NEW QUESTION # 48
Universal Containers (UC) wants to adhere to implementation best practices. What is a recommended way for UC to establish clarity between new business and run-rate business?
Answer: A
Explanation:
Manufacturing Cloud differentiates new business from run-rate business because the two business models require different planning structures.
New or one-time business is appropriately managed through Opportunities, where sales teams qualify and progress potential deals through the sales pipeline. Collaborative Forecasting can then provide sales- management visibility into pipeline expectations.
By contrast, Manufacturing Cloud uses Sales Agreements specifically for recurring or long-term run-rate business. Salesforce defines Sales Agreements as a mechanism to track long-term planned and actual quantities and revenues associated with continuing customer purchasing relationships.
Account forecasting complements this structure by bringing recurring business and other forecast inputs into account-level planning. Salesforce's broader Manufacturing sales architecture emphasizes maintaining visibility into both net-new opportunities and continuing customer agreements so operations teams can obtain a more comprehensive picture of expected demand.
Using Sales Agreements indiscriminately for every new-business pursuit would blur the distinction between pipeline and established recurring demand. Likewise, using Opportunities as the primary mechanism for run- rate commitments omits the time-phased planned-versus-actual structure that Sales Agreements provide.
Study Guide references/topics: Design - New Business versus Run-Rate Business; Opportunities; Sales Agreements; Account Forecasting; Manufacturing Sales Architecture.
NEW QUESTION # 49
Universal Containers (UC) is preparing to roll out its new Manufacturing Cloud. UC has asked a group of end users to conduct preliminary testing. A group of 12 users is conducting testing and must give the go-ahead to deploy all settings to the production environment.
Which items are necessary to conduct proper testing?
Answer: B
Explanation:
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].
NEW QUESTION # 50
Universal Containers (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: C
Explanation:
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
NEW QUESTION # 51
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