Your question is Fix Regression Assumption Failures. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
When a regression model fails to meet its assumptions, such as homoscedasticity or multicollinearity, what concrete steps do you take to resolve these limitations?
Treat this as a hands-on diagnostic and remediation task rather than a definition exercise. Explain which diagnostics you would run, how you would distinguish the underlying causes, how you would choose among competing remedies, and how you would validate the final model. Use a 5% significance level where formal tests are appropriate.