Pure risks

Explanation
The work breakdown structure (WBS) will help the risk manager in understanding the project's scope and identifying potential risks at different levels of the project. Monte Carlo analysis is a quantitative risk analysis technique that can be used to assess the impact of identified risks on the project's schedule and cost.

Explanation
Increasing variances during the execution phase imply that the uncertainty and risk are increasing, as the project performance is deviating from the planned values.
According to the PMBOK Guide - Sixth Edition1, variance analysis is a technique used to compare the actual performance of the project against the planned or expected performance. It can be applied to various aspects of the project, such as scope, schedule, cost, quality, and risk. Variance analysis can help identify deviations from the baseline and determine the causes and impacts of those deviations. If the variances are shown as increasing, it means that the actual performance is deviating more and more from the planned performance, which implies that the uncertainty and risk are increasing. This could affect the project objectives and deliverables, and require corrective or preventive actions to bring the project back on track. The other options are not correct, as they are either too specific (B and D) or contradictory to the result of the variance analysis. References: PMBOK Guide - Sixth Edition, pages 262-263.

An effective risk-scoring matrix should reflect the collective understanding of the project's objectives, stakeholder tolerances, organizational risk appetite, and decision-making requirements.
The risk manager should facilitate a group process involving as many relevant stakeholders as practical.
Relevant participants may include:
* The project sponsor.
* The project manager.
* Functional managers.
* Technical specialists.
* Financial representatives.
* Compliance personnel.
* Customer representatives.
* Risk owners.
* Key operational stakeholders.
A group workshop allows participants to discuss and agree on:
* Probability definitions.
* Impact definitions.
* Scoring scales.
* Weighting among project objectives.
* Risk appetite.
* Risk-tolerance levels.
* Escalation thresholds.
* Priority classifications.
* Treatment of threats and opportunities.
* Rules for risks affecting multiple objectives.
Using a broad group helps reduce individual bias and ensures that the matrix represents the project's overall priorities rather than the preferences of one stakeholder.
Option A may provide useful individual perspectives, especially where sensitive information or authority differences exist, but individual discussions alone may not produce shared agreement or consistent criteria.
Option B is incorrect because one stakeholder cannot adequately represent the full range of project objectives, interests, and tolerances.
Option D is unclear and does not provide the same explicit emphasis on involving a broad and representative stakeholder group.
The risk manager should therefore facilitate a structured group session with relevant stakeholders and obtain agreement on the scoring criteria before using the matrix.
References:
PMI, PMBOK Guide-Sixth Edition, Section 11.1, Plan Risk Management.
PMI, PMBOK Guide-Sixth Edition, Section 11.3, Perform Qualitative Risk Analysis.
PMI, Practice Standard for Project Risk Management, guidance concerning probability-and-impact criteria, stakeholder participation, and risk prioritization.
PMI, The Standard for Risk Management in Portfolios, Programs, and Projects, guidance concerning risk appetite, tolerance, thresholds, and collaborative governance.