Salesforce Updated Rev-Con-201 Exam Questions and Answers by ela

To automatically generate invoices at a specific time and on a recurring schedule, Salesforce Billing provides the Recurring Invoice Run functionality. This feature allows users to define how often invoice runs should occur (e.g., daily, weekly, monthly) and at what time of day. In this scenario, the correct approach is to schedule a Recurring Invoice Run with a Weekly frequency, specifically set to run every Monday at 6:00 AM.

As described in the Salesforce Billing Implementation Guide, Recurring Invoice Runs allow Billing users to:

Select the frequency (e.g., weekly)

Define the day(s) and time of execution

Automatically generate invoices for completed billing schedules during the configured time window

This method ensures consistency, reduces manual workload, and aligns with operational requirements.

Option A refers to Billing Treatments, which are used to manage how invoices are formatted or communicated, not when they are generated.

Option C, using a custom flow with Invoice Preview, is a non-standard and unnecessarily complex approach for a routine task that is already handled natively by Salesforce Billing.

Exact Extracts from Salesforce Revenue Cloud Documents:

Salesforce Billing Implementation Guide – “Recurring Invoice Runs”:“Use Recurring Invoice Runs to configure automated invoice generation. You can set the recurrence frequency (daily, weekly, etc.), and specify the time of execution to match business needs.”

Billing Operations Guide – “Automation for Scheduled Invoicing”:“Recurring invoice runs simplify billing operations by executing invoice logic for completed billing schedules on a regular cadence.”

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.

Explanation (150–250 words)

The Place Sales Transaction API is the modern, high-performance API for order creation in Salesforce Revenue Cloud. It is specifically designed for transactional use cases—such as ecommerce order placement—where multiple products (up to thousands) need to be processed efficiently in a single transaction.

This API accepts comprehensive input data, including customer, pricing, and contextual attributes, and supports multi-line item transactions with automatic validation, pricing, and order creation. It ensures the correct generation of order records, order products, billing schedules, and related context without requiring separate API calls for each record.

The Create Order and Place Order APIs are legacy or limited-scope endpoints that do not handle large volumes or contextual pricing with the same efficiency.

Exact Extract from Salesforce Revenue Cloud Developer Guide:

“Use the Place Sales Transaction API to create and submit complex orders directly from external systems such as ecommerce platforms. It supports high-volume line items, pricing, and context-driven processing.”

Explanation (150–250 words)

Constraint Modeling Language (CML) defines logical relationships between quote line items, allowing administrators to automate dependency and compatibility logic in Salesforce CPQ.

The keyword require() explicitly establishes a dependency that ensures one product must exist when another is present in a quote.

The correct syntax must define relationships with multiplicity ranges (e.g., [0..99]) and use the require() function, not constraint(), to specify the rule. Option B meets these criteria:

type Quote {

relation desktop : Desktop[0..99];

relation monitor : Monitor[0..99];

require(desktop[Desktop], monitor[Monitor], "Desktop requires Monitor");

}

This ensures that when “Desktop” is added, “Monitor” is automatically included. The other options are incorrect because:

Option A uses the wrong function (constraint() instead of require()), which defines logical conditions but doesn’t enforce automatic inclusion.

Option C omits multiplicity, which is required for valid relationship definition.

Exact Extract from Salesforce CPQ Implementation Guide:

“The require() statement in CML defines a dependency rule so that when one product is selected, the dependent product is automatically added to the quote.”