Interview Questions

Shibin P. - "A typical computer vision pipeline consists of several key stages that process and analyze visual data to extract meaningful information. Here’s a general outline of the steps involved: Image Acquisition:Capturing images or videos using cameras or other imaging devices. Preprocessing steps such as resizing, cropping, and converting color spaces. Image Preprocessing:Noise reduction (e.g., using filters like Gaussian blur). Image normalization to standardize pixel values. Contrast e"See full answer

Venkata rakesh M. - "Here if we breakdown each dependency [A,B] , We need to check if there a cycle in Dependency Graph. If there is cycle installation is not possible, If there is no cycle installation is possible. Steps : 1: Build the graph 2: Perform DFS based Cycle Detection 3: Check each package if those packages have cycle or not."See full answer

Amparo L. - "In my free time I like to watch iCarly videos."See full answer

Anonymous Halibut - "The product lens I view the mousetrap through is a product which has a decision maker (someone who wants to catch a mouse) and an end user (yes, yes, the mouse to be trapped). I believe that the mousetrap is superior when it shows a better speed of catching mice. So given that there are mice to catch, it has a better 'conversion' rate of mice which took interest in the mousetrap / mice who got caught - this is a decision maker, e.g. a homeowner, perspective For a mouse, a trap is better when it"See full answer

Vamsi K. - "How would you place Amazon Alex hardware in a car, if car software integration was not an option? Let me understand the context and the situation Is Amazon really trying to experiment if they could be a new device category in the cars (or) Is it that they did not get the right partnerships that led to this decision (assuming this is the case) What could be the objectives why Amazon will get interested in this? Apple and Google are getting entrenched in this space and Amazon has almost n"See full answer

Rev - "Clarify: Physical car garage or some app? 1 garage or a chain? Where is it located? (if highway then user seg to be focussed would change) (rn consider a residential area) Objective/ constraints? - majorly revenue i.e. #users * rev/user (acquire more users) Is there some issue and we are trying to address that via features or we just need features to improve the overall user experience? basic idea of garage: Car issue - drop it to garage/ sometimes pickup service - repair time -"See full answer

dungeonMaster - "Objective: Migrate from subscription base business revenue model to ads based revenue model. Continue with subscription base revenue model, showcase ads on platform only. (Not in between the content). Continue with subscription base revenue model, showcase ads on platform and in between content. Provide different monthly plans based on with ads or without ads Increase revenue by X% - Decide based on this object what revenue model to accept. Assumption: Netflix wants to continue"See full answer

Anubhav A. - "I have not been at SFO airport but if it would have been a similar busy airport like Mumbai Airport I would use the following approach. Re-iterating the question: We are interested in improving the experience for users who drop their cars in airport parking. The experience in question starts from the moment they enter the parking area till the time they board the plane. Core metrics that define the experience for users: Time taken to board the flight from the time I reached at the parking z"See full answer