PMP Exam Question 115

Aligned with PMBOK 6th Edition®.

Risk Data Analysis Techniques :

In a construction project, you are prioritizing individual project risks for further analysis. The project team proposes you several tools and techniques to analyze data. What is not a data analysis technique of this process?

A. Risk data quality assessment.
B. Probability and impact matrix.
C. Risk probability and impact assessment.
D. Assessment of other risk parameters.

4 responses on "PMP Exam Question 115"

  1. PMP Solution 115

    A. Risk data quality assessment evaluates the degree to which the data about individual project risks is accurate and reliable as a basis for qualitative risk analysis. It is a data analysis technique in the Perform Qualitative Risk Analysis process.
    C. Risk probability assessment considers the likelihood that a specific risk will occur. Risk impact assessment considers the potential effect on one or more project objectives such as schedule, cost, quality, or performance. It is a data analysis technique in the Perform Qualitative Risk Analysis process.
    D. Assessment of other risk parameters is when the project team considers other characteristics of risk (in addition to probability and impact) when prioritizing individual project risks for further analysis and action.

    A probability and impact matrix is a grid for mapping the probability of each risk occurrence and its impact on project objectives if that risk occurs. This matrix specifies combinations of probability and impact that allow individual project risks to be divided into priority groups. It is a data representation technique in the Perform Qualitative Risk Analysis process. Therefore, right answer is B [PMBOK 6th edition, Page 425] [Project Risk Management]

    Cheers

  2. Option B, We are are doing Data analysis. Probability and Impact matrix is used for representing risk data.

  3. Option C. Question is referring ‘to analyze data’. Probability and Impact matrix is used for representing risk data but Risk probability and impact assessment for data analysis.

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