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After analyzing the information collected from individual project team members, the risk manager's primary output is an updated risk register. The risk register is a key document in risk management, containing all identified risks, their analysis, and the planned responses. As new information is gathered and analyzed, the risk register is updated to reflect the current status of each risk, any changes in their probability or impact, and any adjustments to the risk response plans.

PMI emphasizes that the risk register should be continually updated throughout the project to ensure that all risks are properly managed and documented​​.

The risk manager should conduct a risk planning workshop with senior management and other key stakeholders to review the risk management plan, the risk register, and the contingency reserves. The risk manager should explain the purpose and benefits of contingency reserves, and how they are calculated and allocated based on the risk exposure of the project. The risk manager should also discuss the potential impact of removing or reducing the contingency reserves on the project objectives, scope, schedule, cost, and quality. The risk manager should facilitate a collaborative decision-making process to reach a consensus on the best course of action for the project. References: PMI, The Standard for Risk Management in Portfolios, Programs, and Projects, 2019, p. 77-78, 92-93.

In this instance, the project manager should use quantitative analysis to simulate the overall risk outcome. Quantitative analysis techniques, such as Monte Carlo simulation or decision tree analysis, can be used to model the combined effect of individual risks on project objectives. By leveraging historical data, the project manager can generate more accurate and reliable risk assessments, which can help inform risk response strategies and improve project decision-making.

Quantitative analysis is a type of risk analysis that numerically analyzes the effect of identified risks on overall project objectives 1. It involves using historical data and other information to estimate the probability and impact of risks, and then applying mathematical techniques such as simulation, sensitivity analysis, decision tree analysis, or expected monetary value analysis to quantify the overall risk exposure of the project 2. Quantitative analysis can provide more accurate and objective results than qualitative analysis, which relies on subjective judgments and ratings. Quantitative analysis can also help the project manager prioritize risks, determine the optimal risk response strategy, and allocate contingency reserves 3. Therefore, the correct answer is D.

References: 1: A Guide to the Project Management Body of Knowledge (PMBOK® Guide) – Sixth Edition, page 4311 2: PMI Risk Management Professional (PMI-RMP)® Examination Content Outline, page 102 3: Quantifying risk - Project Management Institute, page 11