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A service provider identified several errors in the IT infrastructure which cannot be resolved for various reasons. The Infrastructure management team identified workarounds which reduced the likelihood of incidents caused by those errors to a minimum However, the team is aware of the errors and needs to monitor and regularly review them to ensure that the impact assessment and the workarounds remain valid.
How should automation of problem management support the team in this situation?
In the situation where known errors have been identified and workarounds are in place, automation in problem management can help by supporting automated periodic control of known errors. This ensures that known errors are regularly monitored, and their impact and workarounds are reassessed to ensure they remain valid.
Supporting problem metrics (Option A) and machine learning (Option C) might be useful but are not directly related to monitoring known errors.
Separation of problems and known errors (Option B) is already a part of standard problem management practices, but automation in periodic control is more relevant here.
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