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There is a growing backlog of unresolved defects for your project.

There is a growing backlog of unresolved defects for your project. You know the developers have an ML model that they have created which has learned which developers work on which type of software and the speed with which they resolve issues. How could you use this model to help reduce the backlog and implement more efficient defect resolution?

A.

Use it to prioritize defects automatically based on the time expected for the fix to be made, the speed of the fix, and the likelihood of regressions

B.

Use it to assign defects to the best developer to resolve the problem and to load balance the defect assignments among the developers

C.

Use it to determine the root cause of each defect and develop a process improvement plan that can be implemented to remove the most common root causes

D.

Use it to review the code and determine where more defects are likely to occur so that testing can be targeted to those areas

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