Management would like you to front-load the requirements with the most risk requirements. Why would management prefer the risky requirements first in the prioritization?
A.
So if the risk comes true the project will fail will little investment in the work.
B.
So if the risk comes true then the project manager can mitigate the risk event.
C.
So if the risk comes true they'll receive the reward as soon as possible.
D.
So if the risk comes true then there's ample time to correct the problem.
The requirement that is most difficult to implement may be prioritized to the top of the list in order to minimize the resources that are spent before learning that a proposed solution can not be delivered
v3, 5.3.4.1, page 88. Risk: If there is a risk that the solution is not
technically feasible, the requirement that is most difficult to implement may
be prioritized to the top of the list in order to minimize the resources that
are spent before learning that a proposed solution cannot be delivered. A
proof of concept may be developed to establish that high risk options are
possible.
Front-loading risky requirements means addressing the most uncertain or complex parts of the project early. This approach allows the organization to identify potential failures or insurmountable challenges early in the project lifecycle. If the risk materializes and the project is no longer viable, the organization can halt the project with minimal investment and resource expenditure, reducing sunk costs.
D. So if the risk comes true then there's ample time to correct the problem.
Management prefers to address the requirements with the most risk first because it allows for early identification and mitigation of potential issues. This approach provides sufficient time to implement corrective measures before they can significantly impact the project's success.
If there is a risk that the solution is not
technically feasible, the requirement that is most difficult to implement may
be prioritized to the top of the list in order to minimize the resources that
are spent before learning that a proposed solution cannot be delivered.... I think the answer is A
5.3.4 -If there is a risk that the solution is not technically feasible, the requirement that is most difficult to implement may be prioritized to the top of the list in order to minimize the resources that are spent before learning that a proposed solution cannot be delivered.
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