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Salesforce AP-213 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Validate and Deploy16%- Execute data validation and migration
- Perform system testing and performance validation
- Support user acceptance testing (UAT)
- Deploy solutions and implement rollout plans
Topic 2: Configure and Build38%- Build integrations and data migration processes
- Configure service experience and partner collaboration
- Set up users, permission sets and access controls
- Configure core features: Sales Agreements, Forecasting, Rebates
- Implement Manufacturing Intelligence and analytics
Topic 3: Design28%- Perform gap analysis and define customization needs
- Create technical design documents and architecture plans
- Design data models, integrations and security framework
- Map business requirements to Manufacturing Cloud capabilities
Topic 4: Discovery18%- Assess technical architecture, data governance and limitations
- Define rollout strategy and project scope
- Analyze existing business processes and workflows
- Evaluate performance metrics and identify improvement areas

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Salesforce Accredited Agentforce Manufacturing Professional Sample Questions (Q95-Q100):

NEW QUESTION # 95
Universal Containers has a large number of stock keeping units (SKUs), which hinders the executive team from making decisions quickly.
Which functionality should an administrator implement to help the executive team?

Answer: A

Explanation:
Product Categories provide the appropriate abstraction when an organization manages a very large product portfolio and decision-makers do not need to analyze every individual SKU independently. By grouping related products into logical categories, Manufacturing Cloud can present planning, agreement, and forecasting information at a meaningful business level rather than overwhelming users with product-level granularity.
Salesforce supports product-category-based Sales Agreements, allowing organizations to define an agreement at the category level instead of maintaining separate agreement structures for every product belonging to that category. Salesforce also supports Advanced Account Forecasting at different levels of a product-category hierarchy through its Manufacturing Cloud prebuilt capabilities. This enables managers to identify high- and low-performing categories without reviewing potentially thousands of individual product records.
Account Based Forecasting addresses demand forecasting rather than SKU simplification, while Sales Agreements manage long-term commercial commitments. Neither directly solves the fundamental problem of organizing a large product portfolio for higher-level analysis. Product Categories reduce unnecessary product- level complexity and enable executives to evaluate performance and demand at an aggregated level.
Study Guide references/topics: Design - Product Hierarchies; Product Categories; Sales Agreement Product Levels; Advanced Account Forecasting by Product Category.


NEW QUESTION # 96
An organization using Manufacturing Cloud would like to get answers to the following questions:
* What's the trend of order quantity and revenue over the course of the specified period?
* What's the distribution of forecasted order quantity and revenue for the specified dimensions?
* What's the accuracy of the forecasted order quantity and revenue values?
Which out-of-the-box dashboard can the organization access to get the answers to these questions?

Answer: A

Explanation:
The Statistical Order Forecasting dashboard is specifically designed to answer all three questions in the scenario.
Salesforce documents that this dashboard analyzes statistically generated order forecasts for an Advanced Account Forecast Set and includes order quantity and order revenue values. It explicitly provides analysis for the trend of forecasted order quantity and revenue across a specified period, the distribution of forecasted quantity and revenue according to selected dimensions, and the accuracy of the statistically forecasted order quantity and revenue.
Statistical Order Forecasting uses historical order data and generates predicted forecast values that can be evaluated at granular dimensional levels. Salesforce's forecasting documentation also describes statistically predicted order quantity and revenue values with confidence information, supporting demand-planning decisions.
Forecast Analysis serves a different purpose: it examines forecasted, adjusted, and actual values, forecast variance, and changes in forecast accuracy over time.
Product Performance focuses on product sales and demand realization rather than statistical order forecast distributions and prediction accuracy.
Therefore, the requested combination of trend, distribution, and statistical forecast accuracy maps directly to Statistical Order Forecasting.
Study Guide references/topics: Configure and Build - Manufacturing Intelligence; Statistical Order Forecasting; Order Quantity; Order Revenue; Forecast Accuracy.


NEW QUESTION # 97
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: B

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 # 98
A new custom field is created on the Account Product Forecast (APF) table. Account Managers have already been assigned the standard Manufacturing Account Forecast permission set.
Which two actions can be taken to give the Account Managers "Read" access to this new field?

Answer: C

Explanation:
Under current Salesforce permission-set behavior, option A is the valid configuration among the choices provided. Account Forecasting objects require the Manufacturing Account Forecast PSL, which Salesforce identifies as the permission set license providing access to Account Forecasts and related objects.
Salesforce recommends cloning a permission set when additional permissions must be incorporated. A cloned permission set begins with the same license association and enabled permissions as the source, after which the administrator can configure the required field-level access.
For a new custom field, Read access is controlled through field-level security. Current Salesforce documentation explicitly states that field-level security through Object Manager can be set on custom permission sets created for the org. This makes cloning the Manufacturing Account Forecast permission set and extending the clone the appropriate approach.
Options B and D specify the Salesforce license rather than the Manufacturing Account Forecast entitlement.
Salesforce states that a permission set associated with a specific license can contain only permissions entitled by that license. Option C does not follow the current custom-permission-set model for extending field-level access.
Therefore, under current Salesforce configuration standards, A is the valid action among the listed options.
Study Guide references/topics: Configure and Build - Account Forecasting; Permission Set Licenses; Manufacturing Account Forecast PSL; Custom Fields; Field-Level Security.


NEW QUESTION # 99
A customer is concerned about whether data for accounts, contacts, and products should be managed in Salesforce exclusively.
What should a consultant recommend?

Answer: B

Explanation:
Manufacturing data architecture generally spans multiple enterprise applications. Salesforce can contain and operationalize Accounts, Contacts, and Products, but the complete lifecycle of these entities frequently depends on ERP, Product Lifecycle Management, master-data systems, ecommerce platforms, and other enterprise applications.
Consequently, the consultant should not make a blanket assumption that either Salesforce or the ERP must exclusively own every data domain. Instead, the architecture should establish the appropriate source of truth and lifecycle responsibilities for individual data attributes and processes.
The Agentforce Manufacturing Professional exam guide specifically requires consultants to analyze data governance, system limitations, dependencies, and third-party systems during Discovery.
For example, Salesforce may maintain customer-facing account and contact information, while ERP systems consume those records for billing and fulfillment. Product commercial information may be available in Salesforce while engineering lifecycle information is governed by a PLM system. Synchronization rules must therefore reflect the codependent lifecycle rather than treating one platform as universally authoritative.
Option A is too restrictive because ERP is not inherently the master of every account, contact, and product field. Option B is equally rigid because manufacturing organizations commonly require these records to interact with operational enterprise platforms.
Study Guide references/topics: Discovery - Data Governance; Enterprise Systems; ERP; PLM; Master Data; Systems of Record; Integration Dependencies.


NEW QUESTION # 100
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