Free Salesforce Rev-Con-201 Practice Exam with Questions & Answers | Set: 3

To enable dashboards that identify product lines with the most order fallout, the consultant must follow the Revenue Management Intelligence setup process documented in Salesforce Help. The correct approach involves accessing Revenue Management Intelligence Setup (not general Revenue Settings), completing necessary Data Cloud Configurations, and installing the Dynamic Revenue Orchestrator Analytics App.

Revenue Management Intelligence provides a comprehensive suite of Tableau Einstein dashboards specifically designed to assess revenue strategies and achieve cost-effective results. The Dynamic Revenue Orchestrator Analytics App includes specialized dashboards for order fulfillment analysis, including order fallout metrics by product line. These dashboards leverage data collected during the order fulfillment orchestration process.

The setup process requires completing Data Cloud Configurations first. Data Cloud serves as the unified data platform that ingests data from Revenue Cloud transactions, order fulfillment activities, and decomposition events. The configuration ensures that fulfillment data, including fallout metrics, flows properly into the analytics layer. Once Data Cloud is configured, installing the Dynamic Revenue Orchestrator Analytics App provisions the pre-built dashboards that analyze fulfillment performance and identify fallout patterns.

Option A references Revenue Settings, which is used for general Revenue Cloud enablement but not specifically for analytics setup. Option C mentions Tableau Unified Analytics and FulfillmentFalloutRule object, but this approach requires custom development and is not the out-of-the-box solution. The documented out-of-the-box approach through Revenue Management Intelligence Setup with Data Cloud Configurations and the Dynamic Revenue Orchestrator Analytics App is the correct path for accessing pre-built fallout analysis dashboards.

Exact Extracts from Salesforce CPQ and Subscription Management Implementation Guides:

“When a ramped asset is renewed through the InitiateRenew action or API, Revenue Cloud replicates the ramp structure from the original quote to the renewal quote.”

“Each ramp segment and its pricing terms are preserved on the renewal quote lines.”

“This ensures consistency in pricing logic, duration, and segment breakdowns for renewals of ramped subscriptions.”

Step-by-Step Reasoning:

Scenario: Ramped subscription (e.g., quantity or price changing per period).

Renewal via API: The InitiateRenew API copies asset and ramp data into the new quote.

Result: All ramp segments are recreated — preserving ramp structure for renewal.

Why B is Correct:

Renewal quote retains the same ramp lines as the original asset.

Why Others Are Incorrect:

A: Segments are recreated as ramped (not flattened).

C: Would eliminate ramp structure, which contradicts the API’s renewal logic.

References :

Salesforce CPQ Implementation Guide — Ramp Renewals and InitiateRenew API Behavior

Salesforce Subscription Management Implementation Guide — Renewal Processing for Ramped Assets

Comprehensive and Detailed Explanation From Exact Extract:

Standard context definitions provided by Salesforce are locked and cannot be edited or deactivated.

Revenue Lifecycle Management Implementation Guide states:

“Standard context definitions cannot be modified directly.”

“To customize them, admins may either extend (create a child version) or clone them.”

Only these two actions are supported for customizing context behavior.

Why other options are incorrect:

Standard definitions cannot be edited or deactivated.

“Copy” is not an action available; the correct action is “Clone.”

Exact Extracts from Salesforce Billing and Subscription Management Guides:

“Monthly Recurring Revenue (MRR) represents the recurring portion of subscription revenue normalized to a monthly value.”

“For ramped deals, MRR should be calculated based on the currently active ramp period.”

“When a subscription includes quantity changes by period, MRR is (active period’s quantity × list price) ÷ 12.”

Step-by-Step Reasoning:

Current Date: January 15, 2026 → within Year 1 of the ramp (June 24 2025 – June 23 2026).

Active Quantity: 20 units.

List Price: $1,000 per year.

MRR Formula:

Why A is Correct:Uses current active ramp period only, not the entire 3-year term.

Why Others Are Incorrect:

B: Divides by total months (36) — incorrect for monthly normalization.

C: Aggregates all ramp years, not just the current active one.

References :

Salesforce Billing Implementation Guide — Recurring Revenue Metrics (MRR/ARR)

Salesforce Subscription Management Implementation Guide — Ramp Deal Revenue Recognition and Active Period Logic

Comprehensive and Detailed Explanation From Exact Extract:

The Managed Asset Viewer is a Lightning Web Component that must be manually placed on the Account record page layout.

From the RLM Implementation Guide:

“Add the Managed Asset Viewer component to the Account Lightning page to allow users to view, filter, and edit assets.”

“The component is not added automatically and must be configured in Lightning App Builder.”

Adding related lists does not surface the component.

Permissions alone do not place the LWC onto the page.

Comprehensive and Detailed Explanation From Exact Extract:

Revenue Cloud project methodology emphasizes that early stages (discovery and design) must:

Identify key business challenges clearly.

Define measurable success metrics and outcomes (for example, quote cycle time reduction, billing accuracy, etc.).

While mapping challenges to features (B) is important, it comes after stakeholders align on what problems they are solving and how success will be measured. Reviewing APIs (A) is a technical task, not the primary responsibility of business stakeholders.

Comprehensive and Detailed Explanation From Exact Extract:

The Transaction Line Editor (TLE) supports:

Column filtering and sorting.

Inline editing and recalculation.

Manual save actions.

There is no “drag to sort” capability (A). Changes are not auto-saved (C); users must explicitly save.

Explanation (150–250 words)

Contracts AI in Salesforce Revenue Cloud leverages AI-based document parsing to extract key data elements (clauses, values, terms) from uploaded contract files, such as PDFs. To configure this, an administrator creates a Contract Extraction Template, which determines how AI-extracted data maps into Salesforce fields.

In order to associate the template with an existing context definition (so extracted data aligns with the correct objects and relationships), the consultant must define both:

Attribute Definitions — specify the data elements to extract (e.g., Start Date, Term, Renewal Clause).

Context Mapping — links the extracted attributes to the appropriate fields and nodes within the selected context definition.

Without Attribute and Context mapping, Contracts AI cannot correctly populate contextual Salesforce data structures.

Exact Extract from Salesforce Contracts AI Implementation Guide:

“To use an existing context definition with a contract extraction template, specify attribute definitions and context mappings that associate extracted data with the context nodes.”

Explanation (150–250 words)

In Salesforce Revenue Cloud, assetization is the process of converting order products into active Asset records that track entitlements and subscriptions. When a business requires asset creation upon order activation (before submission for fulfillment), the proper approach is to use the Assetize Order flow.

The Assetize Order flow automatically generates assets for all qualifying order products as soon as the order reaches the Activated status. It can be configured to run automatically through automation or invoked manually as part of an operational process.

The Submit Order for Fulfillment flow (option B) triggers fulfillment operations (e.g., provisioning or shipment) and is not intended for early asset creation. The Activate action alone does not create assets unless combined with the Assetize flow.

Exact Extract from Salesforce Subscription Management Implementation Guide:

“Use the Assetize Order flow to automatically create asset records when an order is activated. This process supports early asset creation prior to fulfillment.”

When using the Products List (POST) API in Salesforce Revenue Cloud, developers can query and filter the list of available products using specific supported parameters. According to the Salesforce Product Catalog and Discovery API documentation, the valid and commonly used filters for the Products List API include:

Product2 IDs: to retrieve specific products directly by their ID

Catalog IDs: to filter products based on a specific product catalog

Category IDs: to filter products that belong to a particular category within a catalog

This allows developers to fetch only relevant products for a specific UI component or experience, such as in a Product Discovery component or a custom Lightning Web Component (LWC).

Option B includes Pricebook IDs, which are not supported as filter parameters in the Products List API. Pricebooks are used in pricing context but are not valid query parameters for this API endpoint.

Option C includes ProductClassification IDs, which are not supported directly in the POST filter payload of the Products List API.

Exact Extracts from Salesforce Revenue Cloud Documents:

Product Discovery API Developer Guide – “Products List (POST)”:“Use Catalog IDs, Category IDs, and Product2 IDs as input filters in the POST request to retrieve relevant product records for discovery or display.”

Revenue Cloud API Reference – “Querying Product Records”:“The Products List API supports filtering by catalog, category, and direct product identifiers. Pricebooks are not queryable through this API.”