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Salesforce AP-213인증시험은 현재IT인사들 중 아주 인기 잇는 인증시험입니다.Salesforce AP-213시험패스는 여러분의 하시는 일과 생활에서 많은 도움을 줄뿐만 아니라 중요한 건 여러분의IT업계에서의 자기만의 자리를 지키실 수 잇습니다.이렇게 좋은 시험이니 많은 분들이 응시하려고 합니다,하지만 패스 율은 아주 낮습니다.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Configure and Build | 38% | - Set up users, permission sets and access controls - Implement Manufacturing Intelligence and analytics - Build integrations and data migration processes - Configure core features: Sales Agreements, Forecasting, Rebates - Configure service experience and partner collaboration |
| Topic 2: Discovery | 18% | - Assess technical architecture, data governance and limitations - Evaluate performance metrics and identify improvement areas - Define rollout strategy and project scope - Analyze existing business processes and workflows |
| Topic 3: Validate and Deploy | 16% | - Deploy solutions and implement rollout plans - Perform system testing and performance validation - Support user acceptance testing (UAT) - Execute data validation and migration |
| Topic 4: Design | 28% | - Perform gap analysis and define customization needs - Create technical design documents and architecture plans - Map business requirements to Manufacturing Cloud capabilities - Design data models, integrations and security framework |
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질문 # 18
Which approach reduces the number of manual process steps and leverages automation technology to load the partner's Proof-of-Sale data required as supporting information for rebate claims?
정답：C
질문 # 19
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.
UC tracks its long-term agreements by planned quantity and planned revenue at the product category level.
UC has a custom fiscal year and tracks its forecast weekly.
UC needs to see the ordered quantity, revenue, shipped quantity, and revenue in its forecast metrics.
The primary dimension in UC's forecasts is the product category.
What should be customized in Manufacturing Cloud to accomplish the business requirements?
정답：B
설명：
These requirements change how Advanced Account Forecasting must source, aggregate, calculate, and write forecast data, making the Data Processing Engine templates the central customization point.
Salesforce states that Advanced Account Forecasting uses DPE to filter and aggregate information from Orders, Opportunities, Sales Agreements, Product Categories, custom objects, and other sources.
Administrators can clone the default DPE templates and customize them to incorporate additional dimensions, measures, and calculation logic.
Product-category forecasting itself requires extending the default DPE implementation so forecasts can be generated at the required level of the product hierarchy. UC also requires additional revenue and shipment measures, which means the processing logic must populate those metrics appropriately.
The custom fiscal-year and weekly-frequency requirement further supports Advanced Account Forecasting.
Salesforce specifically states that a custom fiscal year must be defined when using weekly forecast frequency.
The Forecast Fact object may require supporting custom fields, but simply extending the object does not implement the aggregation and calculation behavior. Sales Agreement Metrics alone address only the agreement layer.
Study Guide references/topics: Configure and Build - DPE Templates; Product Category Forecasting; Custom Measures; Weekly Forecasts; Custom Fiscal Years.
질문 # 20
What is required before the Analytics for Manufacturing App can be created?
정답：D
설명：
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. References: Data Required to Create the Analytics for Manufacturing App, Set Up Analytics for Manufacturing, Deploy CRM Analytics for Manufacturing.
질문 # 21
What is required before the analytics for manufacturing App can be created?
정답：D
설명：
Before you create the analytics for manufacturing App, you need to ensure that your data meets some specific requirements. One of these requirements is that at least one record must exist in each of the Manufacturing cloud objects to be analyzed, such as sales agreements, account forecasts, account manager targets, and rebates. Otherwise, the data fails the CRM Analytics check and you see an error message. Having records in these objects ensures that the app can import and display relevant data for your business1. References: Data Required to Create the Analytics for Manufacturing App
질문 # 22
Which Manufacturing Intelligence dashboard should a consultant use to identify products that could upsell and cross-sell across all accounts for the next quarter?
정답：A
설명：
The Whitespace Analysis dashboard is designed specifically to uncover areas where additional products or agreements can be sold to existing or prospective accounts. Salesforce describes the dashboard as a mechanism for identifying revenue-growth opportunities through both new sales and cross-selling to existing customers.
Its Accounts Whitespace analysis identifies accounts that do not currently have active agreements and highlights potential cross-sell opportunities. Its Product Recommendations analysis helps users understand which product combinations perform effectively. Users can filter analytics by a particular duration, making the dashboard appropriate when the requirement is to identify opportunities for a defined future planning period such as the next quarter.
Pricing Insights has a different purpose: it analyzes product pricing trends, price elasticity, and comparative pricing. It can help determine how products are priced but does not primarily discover portfolio gaps across accounts.
Team Targets is used to evaluate sales-team performance against assigned revenue targets and identify team members requiring attention. It does not perform product-level whitespace analysis.
Therefore, Whitespace Analysis is the purpose-built Manufacturing Intelligence dashboard for discovering upsell and cross-sell opportunities across the account base.
Study Guide references/topics: Configure and Build - Manufacturing Intelligence; Whitespace Analysis; Product Recommendations; Cross-Sell and Upsell Analytics.
질문 # 23
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