Interview Questions

Mark S. - "int a_array[10] = {3,6,4,7,2,1,9}; int index = 0; int index2 = 0; for ( index = 0; index < sizeof(a_array); index++ ) { int tmpindex = index + 1; if ( tmpindex <= sizeof(a_array) ) { for ( index2 = tmpindex; index2 < sizeof(a_array); index2++ ) { if ( aarray[index] <= aarray[index2] ) { print( "%d is the NGE of %d" array[index2], array[index]); break; "See full answer

Baviya M. - "By providing some new technologies and improve the products"See full answer

Bhavya V. - "Overfitting is the condition where your model is giving an unexpectedly higher accuracy because of its training in a small database and not getting exposed to anu different type of database while testing"See full answer

Exponent - "This is a Strategy Question, which asks you to justify high-level business decisions and strategy. Since this is asking to look at the geopolitical climate, it's important to dig deeper on understanding how things have a cause-effect relationship. Let's go over one possible solution: > The trade war affects Apple in many ways, but I think the three biggest are:Higher tariffs > Slower new hardware growth > Lower domestic sales > Higher tariffs > The trade war immediately impacts our botto"See full answer

Nanda S. - "Looked at use-cases - what would be biggest value props be. Looked at VIP people moving to save the cost of private airplane, security personnel and for everyday people it could be used for emergencies when people had to be moved quickly and safely. Looked at industrial use cases also for security such as moving precious stones like diamonds or high amount of cash where there would be high security, armoured trucks and logistics cost. Decided to narrow down to industrial use and went deeper int"See full answer

Michael M. - "Tiktok"See full answer

Kegomoditswe R. - "oracle"See full answer

Hiro L. - "Clarification : Criteria: User Journey Potential Use Case: Pain Points: Possible Solutions Tradeoff: Metrices:"See full answer

Sri V. - "Switching from a linear kernel to RBF / Gaussian kernel is likely to result in overfitting the model. It is a move that adds complexity to the mix, and if the data doesn't need that sort of complexity, it would result in overfitting. On the other hand, all the other three approaches would only try too reduce complexity in the process, thereby doesn't contribute to overfitting the model."See full answer