(Learning Edition)
Comprehensive Review | 2025 Update | Verified Learning
Resource
ONE Yield v2 Certification – Revenue Management System Practice Exam
Purpose:
This comprehensive practice exam is designed to help Marriott Associates and Revenue
Managers prepare for the official ONE Yield v2 Certification Assessment. It simulates realistic
exam-style questions that reflect the knowledge and decision-making skills required to master
Marriott’s revenue management platform.
1. What is the primary purpose of ONE Yield v2?
A. To manage guest loyalty
B. To optimize revenue through demand forecasting and pricing
recommendations
C. To schedule housekeeping staff
D. To track maintenance work orders
Rationale: ONE Yield v2 is Marriott’s revenue management system designed to
forecast demand and provide rate recommendations that optimize revenue.
2. What data source is primarily used for demand forecasting in ONE Yield
v2?
A. Market competitor data only
B. Historical property data and booking trends
C. Social media engagement
D. Housekeeping reports
, Rationale: ONE Yield v2 uses historical data (e.g., past bookings, cancellations,
lead times) to generate accurate forecasts.
3. The “ADVisor” screen in ONE Yield v2 is used for:
A. Viewing detailed demand and forecast data
B. Adjusting payroll schedules
C. Updating room cleanliness status
D. Checking guest satisfaction reports
Rationale: ADVisor provides an analytical dashboard summarizing demand,
forecast, and pricing insights.
4. Which metric is MOST critical to revenue optimization?
A. GOPPAR
B. ADR
C. RevPAR
D. Occupancy
Rationale: Revenue per available room (RevPAR) reflects both occupancy and
ADR, offering a full measure of revenue performance.
5. What is the “System Recommended Rate” (SRR)?
A. A manual override rate set by the revenue manager
B. The average market rate for a comp set
C. The rate suggested by ONE Yield v2 based on forecast and demand
analysis
D. A negotiated rate for group bookings
Rationale: SRR is automatically generated by the system based on current demand
and forecasted conditions.