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100+ Free AACE DRMP Practice Questions

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AACE 41R-08 'Risk Analysis and Contingency Determination Using Range Estimating' describes:

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to track
2026 Statistics

Key Facts: AACE DRMP Exam

120 items

Total Questions (119 MCQ + 1 memo)

AACE DRMP page

5 hrs

Time Limit

AACE DRMP page

4 Domains

Per Study Guide 2nd Ed.

AACE DRMP Study Guide

70%

Passing Score (overall average)

AACE handbook

4 + 4 yrs

General + Decision/Risk-specific

AACE eligibility

100+

Free Practice Questions

OpenExamPrep question bank

The DRMP exam (relaunched 2024) is a 5-hour, 119-question CLOSED-BOOK multiple-choice and compound scenario test plus a written memo. Four domains: Basic Cost Engineering & Statistics/Economic Analysis (42), Decision & Risk Practices (35), Risk Management (42), Communication (1 memo). Pass at 70% overall. Tests expert-level depth in Monte Carlo simulation (range estimating, risk drivers, correlation modeling, Latin Hypercube Sampling), Expected Monetary Value (EMV) for discrete risks, decision tree analysis with EMV rollback, real options (defer, expand, contract, abandon, switch, stage), utility theory and certainty equivalents for risk-averse decisions, integrated cost-schedule risk analysis (AACE 57R-09, 113R-20), Reference Class Forecasting (Flyvbjerg), Bayesian updating, Value of Information (VPI/VII), portfolio risk and diversification, Value at Risk (VaR) and Conditional VaR. Eligibility requires both general industry experience AND recent decision/risk-specific expertise. Certification valid 3 years; renew via 12 CEUs across 2 categories or re-exam.

Sample AACE DRMP Practice Questions

Try these sample questions to test your AACE DRMP exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1The AACE Decision and Risk Management Professional (DRMP) certification is BEST characterized as:
A.An entry-level credential covering basic risk identification
B.An expertise-level credential for senior practitioners in decision and risk analysis covering Monte Carlo, decision trees, EMV, real options, and portfolio risk
C.A general project management certification
D.A cost-estimating-only credential
Explanation: The DRMP is positioned as an expertise-level (above professional) credential focused specifically on decision analysis and risk management. The 2024 relaunched exam covers basic cost engineering and statistics, decision and risk practices (qualitative and quantitative), and general decision and risk management. Eligibility requires 4 years of decision/risk-specific experience within an overall 4-year degree + 4 year general experience profile.
2Monte Carlo simulation in cost risk analysis:
A.Produces a single deterministic answer
B.Runs thousands of iterations sampling each uncertain input from its assumed distribution to produce a probability distribution of outputs (cost or duration)
C.Replaces the deterministic estimate
D.Eliminates contingency
Explanation: Monte Carlo (MC) simulation samples each uncertain input (durations, unit rates, quantities, risk events) from its specified distribution thousands of times and computes the output (total cost, project finish date) for each iteration. The aggregate produces a probability distribution (S-curve) of outcomes. Outputs typically include P50, P80, P90 confidence levels, and 'criticality index' values for schedule risk.
3Expected Monetary Value (EMV) for a discrete risk with probability p and impact I is:
A.p + I
B.p x I
C.I / p
D.I - p
Explanation: EMV = p x I. Threats have negative impact (negative EMV); opportunities have positive impact (positive EMV). EMV is the probability-weighted average outcome and is the foundation of decision tree analysis. Sum of EMVs across independent risks gives total project risk exposure (for sufficiently independent risks).
4Consider a decision tree with two options. Option A: invest $100k now; 70% probability the project succeeds yielding $300k revenue, 30% it fails yielding $0. Option B: do nothing, $0 cost, $0 revenue. The EMV of Option A is:
A.$110,000
B.$200,000
C.$210,000
D.$300,000
Explanation: Option A EMV = -100,000 + (0.70 x 300,000) + (0.30 x 0) = -100,000 + 210,000 = $110,000. Option B EMV = $0. Option A has positive EMV and should be selected (assuming risk-neutral preferences and that EMV captures all relevant decision criteria).
5The Value of Perfect Information (VPI) for a decision is BEST defined as:
A.The cost of the decision
B.The difference between EMV with perfect information (always choose the optimal action under each outcome) and EMV with current uncertainty
C.The risk impact
D.The probability of success
Explanation: VPI = EMV(with perfect information) - EMV(without). It represents the maximum a decision-maker should pay for information that perfectly resolves the uncertainty. With perfect info, you always choose the best option for each scenario, so EMV(PI) is generally higher. VPI sets the upper bound on intelligence-gathering investment (studies, surveys, pilots).
6Three-point estimating for an activity using the Beta-PERT distribution gives expected duration:
A.(O + M + P) / 3
B.(O + 4M + P) / 6
C.(O + 6M + P) / 8
D.(P - O) / 6
Explanation: PERT-Beta mean = (O + 4M + P)/6. The Most Likely is weighted 4x reflecting the Beta distribution peak. Standard deviation = (P - O)/6 (approximation). For Monte Carlo, Beta-PERT is commonly used because it captures skewness while requiring only three inputs.
7A triangular distribution differs from a Beta-PERT distribution in that the triangular:
A.Has equal weight on each of three points
B.Has only a most-likely peak with linear falloff to optimistic and pessimistic; mean = (O+M+P)/3
C.Is uniform between optimistic and pessimistic
D.Has no peak
Explanation: Triangular has a peak at Most Likely with linear falloff to O (low) and P (high). Mean = (O+M+P)/3 - simple average. Beta-PERT puts more weight on Most Likely (4x), producing a peakier distribution. Triangular is heavier in the tails. Choice depends on whether the underlying uncertainty is more concentrated or more spread.
8The lognormal distribution is BEST applied to:
A.Symmetric data with negative values
B.Right-skewed data that is always positive (e.g., construction durations, costs that cannot go below zero)
C.Bimodal data
D.Discrete count data
Explanation: Lognormal is right-skewed and bounded at zero - ideal for cost and duration uncertainties where overruns can be unbounded but underruns are limited. Project costs, durations, and many engineering quantities are lognormal-like. The log of a lognormal variable is normally distributed.
9If a Monte Carlo simulation produces a project cost distribution with mean $100M, median $95M, and 80th percentile $115M, the contingency required to achieve P80 confidence (above the deterministic estimate of $90M) is approximately:
A.$5M
B.$10M
C.$25M
D.$115M
Explanation: Contingency = P80 - deterministic estimate = $115M - $90M = $25M. To achieve 80% confidence that the project will finish within budget (including contingency), the contractor must reserve $25M above the deterministic point estimate. Owners typically set contingency at P50-P80 depending on risk tolerance.
10Correlation between Monte Carlo inputs that is ignored when it should be modeled typically:
A.Has no effect
B.Causes the output distribution to be too narrow (understating risk) because variances of correlated inputs don't fully add unless correlation is modeled
C.Inflates the output variance
D.Eliminates the need for simulation
Explanation: Ignoring positive correlation between cost or duration inputs typically NARROWS the output distribution (understating risk). When inputs vary together (e.g., commodity prices for steel and copper both spike), their effects compound. Independence assumption with correlated drivers spreads the risk too thin across iterations. Models should explicitly include correlation matrices or copulas for realistic uncertainty quantification.

About the AACE DRMP Exam

The AACE Decision and Risk Management Professional (DRMP) is the highest-tier (expertise-level) credential for senior risk and decision analysis practitioners. Relaunched in November 2024, the exam is closed-book, 5 hours, with 119 multiple-choice and compound scenario questions plus a memo writing assignment, covering four domains: Basic Cost Engineering & Statistics/Economic Analysis (42 questions), Decision & Risk Practices (35 questions), Risk Management (42 questions), and Communication (1 memo). Aligned with AACE risk RP family (41R-08, 44R-08, 57R-09, 65R-11, 75R-13, 113R-20) and ISO 31000. Eligibility requires 4-year degree + 4 years general experience + 4 years decision/risk-specific experience (with at least 18 months recent). DRMPs work on major capital project decisions, portfolio risk, integrated cost-schedule risk analysis, and decision support at the executive level.

Assessment

120 items total: 119 multiple-choice and compound scenario questions + 1 memo writing assignment, closed book

Time Limit

5 hours

Passing Score

70% overall (average across domains)

Exam Fee

$650 AACE members / $765 non-members (AACE International)

AACE DRMP Exam Content Outline

35%

Basic Cost Engineering & Statistics/Economic Analysis

42 questions on the cost engineering and statistical foundations needed for risk modeling: descriptive statistics (mean, median, variance, standard deviation, skewness, percentiles), probability distributions (uniform, triangular, Beta-PERT with (O+4M+P)/6 mean and (P-O)/6 std dev, normal, lognormal, exponential), Bayesian probability updating, three-point estimating, NPV/IRR/payback economic analysis, depreciation methods, cost of capital (WACC, risk-adjusted discount rate), and cost engineering fundamentals (estimating, EVMS basics, cost categories).

29%

Decision & Risk Practices

35 questions on advanced decision and risk analysis methods: Decision Trees (decision/chance/value nodes, EMV rollback, branch pruning), Influence Diagrams (compact representation of multi-variable decision problems), Expected Monetary Value (EMV = P x I, summed for total exposure), Value of Information (VPI as upper bound for perfect information; VII for imperfect), Monte Carlo simulation (Latin Hypercube Sampling, convergence testing, correlation modeling), Real Options Analysis (defer, expand, contract, abandon, switch, stage), Utility Theory (risk-averse vs risk-neutral vs risk-seeking; concave utility implies certainty equivalent < EMV), Sensitivity Analysis (tornado diagrams pre-MC for input prioritization; post-MC regression for variance contribution), AACE Risk RPs (41R-08 range estimating, 44R-08 EMV contingency, 57R-09 integrated cost-schedule, 65R-11 risk drivers, 113R-20 hybrid parametric+EMV), Reference Class Forecasting (Flyvbjerg), Strategic Misrepresentation and Optimism Bias, Inside vs Outside View (Kahneman), Decision Quality (DQ) framework (Howard), Value at Risk (VaR) and Conditional VaR/Expected Shortfall, stochastic dominance, minimax regret.

35%

Risk Management

42 questions on the risk management process per ISO 31000 and AACE practice: risk identification (brainstorming, Delphi, interviews, checklists, SWOT, assumption analysis, root-cause analysis, document review), Risk Breakdown Structure (RBS), risk register (cause-event-effect formulation, ID/description/category/probability/impact/score/response/owner/residual/status/trigger), qualitative analysis (P-I matrix, risk priority), quantitative analysis (Monte Carlo, EMV, decision trees), risk response strategies (Threats: Avoid/Transfer/Mitigate/Accept; Opportunities: Exploit/Share/Enhance/Accept), risk monitoring and control, contingency vs management reserve (contingency = known-unknowns INSIDE baseline; MR = unknown-unknowns OUTSIDE baseline), risk closure, opportunity register, risk attitude/appetite, risk thresholds, Risk Management Plan content, ISO 31000:2018 framework integration with governance.

1%

Communication

1 memo writing assignment requiring the candidate to compose a structured business memo to a decision-maker (e.g., executive sponsor) addressing a risk or decision analysis scenario. Tests ability to translate technical Monte Carlo/decision-tree/real-options analysis into management-actionable narrative with clear recommendations and acknowledged limitations.

How to Pass the AACE DRMP Exam

What You Need to Know

  • Passing score: 70% overall (average across domains)
  • Assessment: 120 items total: 119 multiple-choice and compound scenario questions + 1 memo writing assignment, closed book
  • Time limit: 5 hours
  • Exam fee: $650 AACE members / $765 non-members

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

AACE DRMP Study Tips from Top Performers

1Master the four DRMP domains and their proportions: Basic Cost Engineering & Statistics (42 questions - largest), Decision & Risk Practices (35), Risk Management (42), Communication (1 memo). The statistics and economic analysis foundation is essential because everything else builds on it.
2Memorize probability distributions cold: Uniform (no central tendency), Triangular (peak at M, linear falloff, mean = (O+M+P)/3), Beta-PERT (peakier at M, mean = (O+4M+P)/6, std dev = (P-O)/6), Normal (symmetric, defined by mean and std dev), Lognormal (right-skewed, positive-only, for costs and durations), Exponential (memoryless, for time-between-events).
3Drill Monte Carlo simulation principles: Latin Hypercube Sampling for efficient coverage, convergence testing (statistics stabilize with more iterations - typically 10,000+ for tail estimates), correlation modeling via correlation matrices or copulas, S-curve output, P50/P80/P90 percentile interpretation, contingency = Pxx - deterministic estimate.
4Master decision tree EMV rollback: chance nodes compute EMV = sum(p_i x outcome_i); decision nodes select max EMV. Solve simple trees by hand to verify intuition. Practice with sequential decisions and Value of Perfect Information problems.
5Memorize the six Real Options: Defer (wait until uncertainty resolves), Expand (build modular for upside), Contract (phase down if conditions worsen), Abandon (sell salvage), Switch (input/output flexibility), Stage (sequential investment). Each has a different valuation context; recognize when DCF/NPV undervalues flexibility.
6Understand utility theory: concave utility = risk-averse (most firms), linear = risk-neutral (use EMV directly), convex = risk-seeking (rare). For risk-averse decision-makers, the Certainty Equivalent (CE) < EMV; the difference is the risk premium. EMV maximization can be wrong for bet-the-firm decisions.
7Know the AACE risk RP family: 17R-97 (cost estimate accuracy ranges), 40R-08 (contingency general principles), 41R-08 (range estimating), 42R-08 (parametric contingency), 44R-08 (EMV contingency), 57R-09 (integrated cost-schedule), 65R-11 (risk drivers), 75R-13 (probabilistic schedule), 80R-13 (risk-EVM integration), 113R-20 (hybrid parametric + EMV).
8Master ISO 31000:2018 framework: principles, structured framework, integrated process (establish context, identify, analyze, evaluate, treat, monitor, communicate). Risk management is principles-based, customized, integrated with governance, and continuously improved.
9Practice the memo writing component on multiple scenarios. Standard structure: BLUF opening (purpose, audience), structured body (data, scenarios, probabilities, sensitivity, key assumptions), conclusion (specific recommendations with rationale, residual risks, limitations of analysis). Honest acknowledgment of uncertainty is critical.
10Schedule 3+ full 5-hour timed mock exams in the last month. The DRMP is expertise-level - questions often combine multiple concepts (a Monte Carlo + decision tree + real options scenario). Speed comes from automatic formula recall and pattern recognition; don't get bogged down on any single question (~2.5 minutes average).

Frequently Asked Questions

What is the AACE DRMP certification?

The Decision and Risk Management Professional (DRMP) is AACE International's expertise-level credential for senior practitioners in decision analysis and risk management. Relaunched in November 2024, it validates expert mastery of Monte Carlo simulation, decision trees, real options, integrated cost-schedule risk analysis, Reference Class Forecasting, utility theory, and ISO 31000 risk frameworks. DRMPs typically support major capital project decisions, portfolio risk, and executive-level decision making.

What are the DRMP eligibility requirements?

Candidates need a 4-year degree (or substitutable equivalent), 4 years of general industry-related experience, AND 4 years of decision/risk management-specific experience (with at least 18 months of that experience being recent). The recent-experience requirement distinguishes DRMP from broader professional credentials. Adherence to AACE's Canons of Ethics is required, and supporting evidence (recommendations, work products) may be requested.

How is the DRMP exam structured?

The DRMP exam is a closed-book 5-hour computer-based test with 119 multiple-choice and compound scenario questions plus 1 memo writing assignment. Content covers four domains: Basic Cost Engineering & Statistics/Economic Analysis (42 questions), Decision & Risk Practices (35 questions), Risk Management (42 questions), and Communication (1 memo). A battery-operated calculator is permitted (candidate-provided).

What is the DRMP passing score?

AACE requires an overall average score of 70% or higher across the four domains. Results are reported on a Pass/Fail basis only; individual domain scores are not disclosed. The relaunched 2024 exam puts emphasis on practical scenarios (compound questions) requiring application of multiple risk-analysis methods to a single problem.

How much does the DRMP exam cost?

The DRMP has a two-part fee structure: $250 application + $400 exam = $650 total for AACE members; $300 application + $465 exam = $765 total for non-members. A resit fee of $260 applies if you need to retake. All fees are non-refundable and due upon application. AACE membership is approximately $185 annually for full members. Costs are subject to change; verify on aacei.org.

How does the DRMP differ from the AACE PRMP?

PRMP is professional-level (broader practitioner-focused risk management with eligibility 8 years experience or 4 + degree). DRMP is expertise-level (deeper quantitative/analytical depth, requires recent decision/risk-specific experience). DRMP covers more advanced topics: real options, utility theory, Bayesian updating, integrated cost-schedule simulation, and complex decision analysis. Many senior practitioners pursue PRMP first, then DRMP.

How long should I study for the DRMP?

Most candidates dedicate 150-250 hours over 5-9 months. Primary study resources: AACE DRMP Study Guide (2nd Edition, the official guide), AACE Recommended Practices in the risk family (41R-08, 44R-08, 57R-09, 65R-11, 75R-13, 80R-13, 113R-20), ISO 31000:2018, classic decision analysis textbooks (Howard, Clemen). Build a software-based practice routine using @Risk, Crystal Ball, or Risky Project for Monte Carlo intuition.

How do I maintain the DRMP certification?

DRMP certification is valid for 3 years. Recertification requires accumulating 12 Continuing Education Units (CEUs) across a minimum of two categories, or re-examination. AACE accepts coursework, conference attendance, teaching, publishing, and professional service for CEU credit. Track CEUs throughout the 3-year cycle to avoid late-cycle scrambles.