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Salesforce AP-213 Exam Syllabus Topics:

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

>> AP-213證照信息 <<

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最新的 Accredited Professional AP-213 免費考試真題 (Q34-Q39):

問題 #34
Sales Management has decided that the Account Managers should be measured on a CSAT target. Which option describes the steps the Admin should take to meet this requirement?

答案:C

解題說明:
Account Manager Targets support both financial and non-financial performance measures. Salesforce configures these measures through the Measure field on the Account Manager Target object. The predefined Revenue measure is available by default, and administrators can create additional custom measures such as Customer Satisfaction (CSAT), Net Promoter Score, product quantity, or other organization-specific targets.
For CSAT, the administrator navigates to the Account Manager Target object's fields, opens the Measure picklist, and creates a new value with the label CSAT. Salesforce then requires the appropriate Measure Type.
Because CSAT is a non-currency measurement, the administrator selects Other, which Salesforce uses for non-currency target measures. Currency is reserved for monetary targets such as revenue or total order amount.
This makes option B technically precise: both the field and object are correct, and the non-currency classification is appropriate.
The Account Manager object itself does not define target measures, and there is no separate CSAT Measure Type required. Once configured, CSAT becomes available when users create Account Manager Target records.
Study Guide references/topics: Configure and Build - Account Manager Targets; Custom Measures; Measure Picklist; Currency and Non-Currency Targets.


問題 #35
What is the main function of out-of-the-box Data Processing Engine jobs in Rebate Management?

答案:D

解題說明:
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


問題 #36
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?

答案:C

解題說明:
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. References: Customize Data Processing Engine (DPE) Templates, Account-Based Forecasting in Manufacturing Cloud


問題 #37
A consultant has completed an implementation and needs to import order data into Manufacturing Cloud.
Which steps must the consultant follow to import all of the relevant data?

答案:C

解題說明:
The correct approach for importing order data into Manufacturing Cloud involves providing the client with a comprehensive data template file that reflects the data mapping, including the identification of related records such as accounts and sales agreements. It is also crucial to disable any irrelevant automations or rules that might interfere with the data import process. This ensures a smooth transition and accurate reflection of order data within the Manufacturing Cloud environment


問題 #38
A consultant has been assigned to comprehensively analyze how an organization utilizes Manufacturing Cloud to improve its business processes and workflows.
Why is it important to understand the landscape of the business before going into the details of requirements?

答案:A

解題說明:
Discovery should begin with an understanding of the organization's broader business landscape before requirements are translated into Salesforce features. Starting at the business level helps the consultant identify strategic objectives, pain points, process boundaries, stakeholders, dependencies, handoffs between teams, and areas where meaningful improvement can occur.
The Agentforce Manufacturing Professional exam guide explicitly requires a consultant to conduct a comprehensive analysis of existing business processes and workflows to identify blockers and improvement opportunities. It also requires analysis of performance metrics, third-party integrations, inefficiencies, and technical dependencies before detailed design begins.
This prevents a common implementation failure: treating every stated request as a Manufacturing Cloud configuration requirement without first establishing whether the underlying problem is organizational, operational, integration-related, or technology-related.
Understanding the "big picture" allows requirements to be evaluated in the context of the complete customer lifecycle rather than in isolated departmental silos. It also helps identify opportunities that span multiple teams even when the eventual solution is not entirely within Manufacturing Cloud.
The purpose is not to expand the project indiscriminately. Scope should remain governed by business value, priorities, constraints, and agreed outcomes.
Study Guide references/topics: Discovery - Business Landscape Analysis; Business Processes and Workflows; Pain Points; Cross-Functional Dependencies; Opportunity Identification.


問題 #39
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