Question 570
A software test team tracks weekly deployment defect rates and wants to know whether a sudden spike is unusual. Which result BEST demonstrates that the project-management response met the stated need?
Explanation
Correct Answer
The plotted metric identifies a special-cause variation requiring investigation without treating every small fluctuation as a defect. This is an observable measure of the intended outcome, not just evidence that a meeting or configuration occurred. Control charts assess process stability against statistical control limits; specification thresholds and control limits are not automatically identical. Situation: A software test team tracks weekly deployment defect rates and wants to know whether a sudden spike is unusual.
Incorrect Answers
Editors collaborate without overwriting one another and approved versions remain recoverable to authorized stakeholders. That outcome tests Real-time shared document collaboration; it is not proof of this particular requirement. The more specific validation is: The plotted metric identifies a special-cause variation requiring investigation without treating every small fluctuation as a defect. Situation: A software test team tracks weekly deployment defect rates and wants to know whether a sudden spike is unusual.
The dominant issue categories are visibly ranked and the team targets changes that could eliminate the largest share of incidents. That outcome tests Pareto chart defect prioritization; it is not proof of this particular requirement. The more specific validation is: The plotted metric identifies a special-cause variation requiring investigation without treating every small fluctuation as a defect. Situation: A software test team tracks weekly deployment defect rates and wants to know whether a sudden spike is unusual.
Leadership can identify pending gates, missed commitments, and next approvals without searching detailed task logs. That outcome tests Milestone chart and executive reporting; it is not proof of this particular requirement. The more specific validation is: The plotted metric identifies a special-cause variation requiring investigation without treating every small fluctuation as a defect. Situation: A software test team tracks weekly deployment defect rates and wants to know whether a sudden spike is unusual.


