Meta Data Science interview questions

I made it to the technical round, in which there were two SQL questions. You don't get to run code, you just write the code and describe to the interviewer what you are doing. However, as I was working through the SQL questions, I was asking clarifying questions, and the interviewer responded, but then asked me a handful of questions as well, which took up a chunk of the time allotted to SQL. I finished the first one pretty quickly, but was only able to get through half of the second one because the majority of the time was spent on questions. The second half of the interview was a case study that was related to the SQL questions. The interview asked about metrics that could be used to gauge and measure the efficacy of the case study, what other KPIs could be used, etc.