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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design | 28% | - Create technical design documents and architecture plans - Map business requirements to Manufacturing Cloud capabilities - Perform gap analysis and define customization needs - Design data models, integrations and security framework |
| Topic 2: Configure and Build | 38% | - Set up users, permission sets and access controls - Configure core features: Sales Agreements, Forecasting, Rebates - Configure service experience and partner collaboration - Build integrations and data migration processes - Implement Manufacturing Intelligence and analytics |
| Topic 3: Validate and Deploy | 16% | - Deploy solutions and implement rollout plans - Execute data validation and migration - Perform system testing and performance validation - Support user acceptance testing (UAT) |
| Topic 4: Discovery | 18% | - 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 |
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NEW QUESTION # 103
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?
Answer: C
Explanation:
The Account Manager Target object represents a target created by an account manager for a fiscal year, measure, and target value1. To measure the account managers on a CSAT target, the admin should add a picklist value on the Measure field with Label = CSAT and add Measure Type = Other, on the Account Manager Target object. This way, the account managers can create and assign targets for the CSAT measure to their direct reports2. The other options are incorrect because they either use the wrong object, field, or value for the CSAT target. References: Create and Assign Targets, Set Up and Configure Account Manager Targets, Discuss Salesforce Manufacturing-Cloud-Professional Exam Topic 1 Question 19, Manufacturing Cloud Developer Guide
NEW QUESTION # 104
An administrator has performed the data migration of sales agreements. The client would like to ensure that data wasn't lost in the process. How should the administrator test the data consistency across the legacy system and Salesforce?
Answer: B
Explanation:
Migration validation must establish that the complete migrated population is materially consistent with the source system, not merely confirm that a small sample of rows appears correct.
Creating custom reports that aggregate Sales Agreement values provides a controlled reconciliation mechanism. Administrators can compare record counts, planned quantities, revenues, actual amounts, and other meaningful totals between Salesforce and the legacy platform. Aggregate reconciliation is particularly useful because it can expose missing groups of records, incorrect mappings, truncated values, or numerical transformation issues that random sampling may not detect.
Salesforce's current Agentforce Manufacturing Professional exam outline specifically includes the ability to load and validate data under the Validate and Deploy domain. Salesforce also provides Manufacturing- specific CSV tooling that supports insert, update, and upsert operations along with validation and import logs, reinforcing the requirement to validate imported datasets systematically.
Randomly checking selected source rows provides useful spot validation but cannot demonstrate overall completeness. Exporting records with Data Loader and manually comparing CSV files is also less scalable and less effective for business-level reconciliation than aggregated reporting.
The preferred test is therefore to build reconciliation reports and compare relevant totals and counts across the two systems.
Study Guide references/topics: Validate and Deploy - Data Migration; Data Validation; Reconciliation; Sales Agreement Migration; Reporting.
NEW QUESTION # 105
Which three permission set are available with Manufacturing Cloud?
Answer: A,B,D
Explanation:
Manufacturing Cloud provides three permission sets related to Sales Agreements, Account Forecasting, and Account Manager Targets. These permission sets give users access to the features and data models that are specific to the manufacturing industry. The permission sets are:
Manufacturing Account Forecast: This permission set lets users track account forecasts for quantity and revenue metrics of products. Users can view and edit the Account Product Forecast and Account Product Period Forecast objects, as well as the related objects such as Account, Product, and Sales Agreement.
Manufacturing Sales Agreements: This permission set gives users access to sales agreements that work with orders, contracts, and more. Users can view and edit the Sales Agreement and Sales Agreement Line Item objects, as well as the related objects such as Account, Product, and Order.
Manufacturing Account Manager Target: This permission set gives users access to Account Manager Target features that include creating, assigning, and distributing targets. Users can view and edit the Account Manager Target and Account Manager Target Line Item objects, as well as the related objects such as Account, Product, and Sales Agreement.
Assign the Manufacturing Permission Sets to Users, Set Up Users and Permissions for Manufacturing Cloud
NEW QUESTION # 106
What is the recommended way to calculate an Account Based Forecast for the next 13 months in the formula builder?
Answer: A
Explanation:
According to the Salesforce Manufacturing Cloud documentation, you can use the Formula Builder on the Account Forecasting page in Setup to create formulas for forecast calculations. You can define your own formulas for quantity and revenue based on sales agreements, orders, opportunities, and account metrics. You can create either a single formula for all periods, or multiple formulas for different period ranges. If the forecast display period is 12 months, you can create up to 12 formulas. However, if you want to calculate an account based forecast for the next 13 months, you need to create separate formulas for periods 1-12 and period 13, because the Formula Builder does not support more than 12 periods in a single formula. This way, you can ensure that the forecast calculations are accurate and consistent for each month. References: Build Formulas to Calculate Forecast, Configure Forecast Metrics and Formulas
NEW QUESTION # 107
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?
Answer: B
Explanation:
It is important to understand the landscape of the business before going into the details of requirements because it helps the consultant to ensure there's an understanding of the big picture and where the real opportunity lies between teams agnostic of Manufacturing Cloud. By analyzing the current state of the business, the consultant can identify the pain points, challenges, goals, and opportunities of the organization and its stakeholders. The consultant can also map out the value chain, the customer journey, the key processes, and the systems and data involved in the business operations. This will help the consultant to align the requirements with the business objectives and priorities, and to design a solution that delivers value and impact across the organization. Understanding the business landscape also enables the consultant to communicate effectively with the client and to establish trust and credibility. References:
Manufacturing Cloud - Salesforce
Manufacturing - Salesforce.com
Meet Manufacturing Cloud Unit | Salesforce Trailhead
NEW QUESTION # 108
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