When asked about making a decision with incomplete data, I recounted a scenario from my time managing a cloud migration project. We were halfway through migrating services to AWS but had incomplete usage metrics, making it hard to predict performance impacts. I decided to proceed based on the data we had, prioritizing the most critical applications first. I emphasized how while I felt confident in our chosen applications' resilience, I had serious concerns about underestimating the load on others. The interviewer nodded along but requested more detail about the actual metrics I had and what criteria I used for prioritization.

After explaining my decision-making process, I mentioned that we faced some unexpected performance issues due to the changes. The interviewer seemed intrigued by this, asking how I would handle such problems moving forward. I told them about implementing monitoring tools to gather data in real-time and adjust our migration plan accordingly. They appreciated my candidness but noted that they were looking for more proactive strategies in similar future situations. Ultimately, while I felt the discussion flowed well, I sensed that my emphasis on reactive measures might have raised some red flags for them regarding my forward-thinking capabilities.