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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Discovery | 18% | - Define rollout strategy and project scope - Evaluate performance metrics and identify improvement areas - Assess technical architecture, data governance and limitations - Analyze existing business processes and workflows |
| Topic 2: Configure and Build | 38% | - Configure core features: Sales Agreements, Forecasting, Rebates - Configure service experience and partner collaboration - Build integrations and data migration processes - Implement Manufacturing Intelligence and analytics - Set up users, permission sets and access controls |
| Topic 3: Design | 28% | - Map business requirements to Manufacturing Cloud capabilities - Design data models, integrations and security framework - Perform gap analysis and define customization needs - Create technical design documents and architecture plans |
| Topic 4: 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 |
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NEW QUESTION # 87
A Salesforce consultant built an integration that calls an external endpoint via an Apex callout. However, the callout is failing with the following error: "System.CalloutException: Unauthorized endpoint".
What should the consultant do to fix this error?
Answer: A
Explanation:
The error "System.CalloutException: Unauthorized endpoint" indicates that the external endpoint is not whitelisted in Salesforce. To allow Apex callouts to access an external endpoint, the administrator or the developer must register the URL in Remote Site Settings. This is a security feature that prevents unauthorized access to external resources from Apex code. Creating a connected app for the external system or ensuring that the integration user has the necessary permissions to perform the callout are not sufficient to fix this error, as they do not address the issue of whitelisting the endpoint12. References: Apex Developer Guide: Making HTTP Callouts, Apex Developer Guide: Remote Site Settings
NEW QUESTION # 88
The service agents at Universal Containers reported that it takes too long to find information related to contacts and accounts, such as Cases, Assets, Warranties, and Claims.
What should the consultant recommend to make the support process easier?
Answer: B
Explanation:
The Service Console for Manufacturing is specifically designed to give manufacturing customer service representatives a consolidated view of customer, account, asset, warranty, claim, order, case, and engagement information. Rather than forcing an agent to navigate among multiple unrelated record pages, the console brings relevant manufacturing-service information together while preserving the context of the current customer interaction. Salesforce describes it as providing a holistic customer picture and allowing CSRs to manage the service lifecycle from a single interface.
For example, an agent can review order delivery information, asset status, service cases, upcoming engagements, and warranty-related information while working with the customer. Appropriate console components can be configured according to the organization's service processes.
A custom Case Lightning page would improve only the Case experience and would require administrators to reproduce functionality already available in the industry-specific console. The standard Service Console provides general Service Cloud capabilities but does not include the Manufacturing Cloud-specific service components and data context.
Therefore, enabling and configuring Service Console for Manufacturing is the appropriate implementation.
Study Guide references/topics: Configure and Build - Manufacturing Service; Service Console for Manufacturing; Manufacturing Service Experience; Service Agent Productivity.
NEW QUESTION # 89
Universal Containers (UC) currently uses Sales Agreements to track its annual plans with customers but is working with a consultant to set up Advanced Account Forecasting. UC stores shipped/invoiced order data in a child-custom object related to the standard Order object. UC has two primary requirements:
To see its forecast by Product Code and Product Category
To see actual order data broken out into three metrics: Quantity Ordered but still Open, Quantity Ordered but Shipped, and Quantity Invoiced How should a consultant set up Advanced Account Forecasting to fulfill these requirements successfully?
Answer: A
Explanation:
Advanced Account Forecasting separates forecast structure into dimensions and measures. Product Code and Product Category define how forecast information must be grouped, so they must be represented as dimensions in the Forecast Fact model. Ordered, shipped, and invoiced quantities are quantitative values and therefore require separate forecast measures.
Salesforce explicitly supports extending the Advanced Account Forecast Fact object with custom dimensions and custom measures. Custom dimensions are added to the forecast fact and then configured as dimension sources and forecast-set dimensions. Custom measures can be implemented as number, currency, or formula fields and included in the forecast set.
Because UC's shipped and invoiced data originates from a custom child object, the DPE processing logic must also be customized so that the required records are extracted, transformed, aggregated at the correct dimensional grain, and written back to the Forecast Fact object. Salesforce recommends cloning and extending the supplied DPE templates rather than modifying the conceptual forecasting model indirectly.
Study Guide references/topics: Configure and Build - Advanced Account Forecasting; Forecast Fact; Custom Dimensions and Measures; Data Processing Engine.
NEW QUESTION # 90
Which dashboards are on the Account page by default after the system administrator installs the Analytics app?
Answer: C
Explanation:
Upon the installation of the Analytics app, the default dashboards on the Account page include "Accounts agreement performance" and "Forecast analytics for the selected account." These dashboards provide a comprehensive overview of an account's performance in terms of sales agreements and forecast accuracy, allowing for in-depth analysis and strategic planning based on historical and current data.
NEW QUESTION # 91
How does the time series projection feature in Tableau CRM for manufacturing provide data insights?
Answer: B
Explanation:
The time series projection feature in Tableau CRM for manufacturing is designed to track product growth trends. This functionality utilizes statistical order forecasting predictions generated using time series forecasting models, which include order quantity values and order revenue values with a specified confidence level. By focusing on product growth trends, this feature enables manufacturers to analyze and predict future product performance, facilitating informed decision-making and strategic planning .
NEW QUESTION # 92
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