Question 740
A machine-learning product repeatedly depends on a subject expert who has an unpredictable operational workload. The team has identified a response and must obtain a justified decision before moving forward. How should the project manager escalate or authorize the remaining decision?
Explanation
Correct Answer
This decision respects the accountable project authority and the scenario’s remaining exposure: Raise a capacity funding decision if critical model validation cannot be staffed. The response being governed is Reserve reviewed expert time or develop a capable delegate before promising model review throughput. and the completion measure is Review deadlines are met with documented expert availability and independent backup decisions.
Incorrect Answers
Escalate any disputed final payment to procurement and legal under the agreed resolution procedure. That safeguard does not address the specific risk here: relying on borrowed uncommitted expertise makes critical acceptance gates unreliable. The relevant follow-up is: Raise a capacity funding decision if critical model validation cannot be staffed.
Require stage-gate approval using measured value and loss limits. That safeguard does not address the specific risk here: relying on borrowed uncommitted expertise makes critical acceptance gates unreliable. The relevant follow-up is: Raise a capacity funding decision if critical model validation cannot be staffed.
Record the effect of legal work-hour rules in resource and schedule approval. That safeguard does not address the specific risk here: relying on borrowed uncommitted expertise makes critical acceptance gates unreliable. The relevant follow-up is: Raise a capacity funding decision if critical model validation cannot be staffed.