Interview Questions

Matthew P. - "I am"See full answer

Andrei S. - "Follow up question was: what is your strategy to sell it?"See full answer

Anonymous Muskox - "Metrics which Youtube Consider before building a recommender system Number of likes on a video by user The watch time of a video by the user The video disklied by the user The video share by a user The video skipped or churn with 20-30 seconds. Depending on this Youtube build a recommender system. The video suggestion feature in youtube works based on the recommender system. It may use a hybrid of batch prediction and online prediction. So depending on the above metrics, the youtube p"See full answer

Ravi C. - "boolean isMatch(String s, String p) { int i=0; int j=0; int sID=-1; int prevM=-1; while(i<s.length()){ if(j<p.length() && (s.charAt(i)==p.charAt(j) || p.charAt(j)=='?')){ i++; j++; }else if(j<p.length() && p.charAt(j)=='*'){ sID=j; prevM=i; j++; }else if(sID!=-1){ j=sID+1; prevM++; i=prevM; }else{ return false; } } while(j<p.length() && p.charAt(j)=='*') j++; if(i!=s.length() || j!=p.leng"See full answer

R - "After further thinking on it, I take back the comments on phone-to-phone vs server-to-phone comments. Even if its p2p the smell data has to pass through a central messaging system. So we have to assume the technology to persist the smell also exists. So even (a) is possible. A perfume maker is capturing the smell and along with the perfume product attaching the smell data and posting on an e-commerce platform. Its similar to end-to-end encryption where data is encrypted in transit and at rest. I"See full answer

Luay H. - "A cross platform internet and mobile banking"See full answer

Divya K. - "Explain how you implemented your telemetry and observability in previous projects."See full answer

Anonymous Duck - "I will work with data scientist to implement anomaly detection models to flag any deviations in a business’s review patterns over time. Like if any sudden influx of positive reviews after a negative review could indicate a reputation management effort. Or Any like any bot reviews happening in quick sessions happening from different cities/geo locations"See full answer

Indranil G. - "As a product owner, I will ensure that I am up to date about the featuer development. First of all, I want to ensure it is estimated rightly as much as possible. It uses empirical data to estimate so that our estimate is as close as actual as possible. Also, the feature will be divided in such a way that each component of the feature can be achieved in a 2-week cadence if we are running a by-weekly feature cycle. And also I will keep some buffer as well. I will ensure I communicate to the stakeh"See full answer

Surbhi G. - "When we collect too much user data or survey responses, we risk creating data overload, which can hinder data analysis by clouding important insights with excessive, unnecessary information. This could make it more difficult to discern meaningful patterns or trends from the data, adding complexity to our data processing tasks and potentially leading to incorrect conclusions or strategies. Furthermore, over-collecting data may compromise users' privacy and trust. If users find out that a company"See full answer

Praniti S. - "My mistake: gave a very generic project management approach and didn't properly address how to get value out of it sooner Expected: being able to structure a project in a way that delivers value at incremental steps along the way"See full answer