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How is it possible to answer this without knowing the selling price per product? # of quantities to sell in order to breakeven depends on how much the selling price per product is? Since the selling price says X, you can sell it for $790 and breakeven by just selling 1 product ($790 per product + $10 annual fee (assuming it's per product)). But I may be misunderstanding the information provided. Any feedback? Less

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Actually, to correct the above response, if the selling price for 1 product is $794 (to cover the cost price of the product itself ($4) ), only 1 quantity needs to be sold. ($794 + $10) = ($800 + $4). Less

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Terribly worded question; you never specified that we are given the normal and heavy weights. Without that information, the votes up solution here doesn’t work. Less

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Using a series sum [N(N+1)/2], will not work in this case, as we've not been provided with enough specifics (such as "whats the standard weight of the marbles?). In fact any solution dependent on summed weight will have overlapping solution space and fail. Consider if the standard weight is 10 ounce per marble, and bag 1 is the exception at 12 ounce per marble, for a total weight of 552. Now consider if bag 2 is the exception at 11 ounce per marble - also for a total weight of 552. There is no way to distinguish between the two cases. Given the setup, if appears the interviewer did expect the answer to use some variation of summed series, and I suspect the poster has paraphrased the question and missed some key language - and as best I can tell is not solvable as stated. Google will expect you to provide a generalized solution that can be automated, so the "add the bags one at a time", while simple and clever, would probably not be acceptable as a "weigh only once" solution, and if accepted would be a lesser answer as it does not provide a code-able business solution. Less

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I would design the test in a way that certain information is asked two different ways. if two answers disagree with each other I would seriously doubt the validity of the answers. Less

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We need to find the histograms of the questions in the survey to see the distribution of each answer in each question. All question histograms will likely follow the normal distribution if they are truthful selection. If one response with more than of half of total answers being located outside of 95% confidential interval in each histogram, the response will be categorized as random fall out of mean plus tw Less

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The photos are definitely Halloween pictures. Segment by country and date and check for a continual rise in photo uploads leading up to October 31st and a few days after for the lag. There's also a ton of these product questions like this on InterviewQuery.com for data scientists Less

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Hypothesis: the photos are Halloween pictures. Test: look at upload trends in countries that do not observe Halloween as a sort of counter-factual analysis. Less

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Stack and queues have different order of processing, operations for adding and removing elements, and usage scenarios.The choice between the two data structure depends on the specific requirements of the problem being solved Less

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A hash table is a data structure that allows for efficient insertion, deletion, and lookup of key-value pairs. It is based on the idea of hashing, which involves mapping each key to a specific index in an array using a hash function. The hash function takes a key as input and returns a unique index in the array. In order to handle collisions (when two or more keys map to the same index), some form of collision resolution mechanism is used, such as separate chaining or open addressing. In separate chaining, each index in the array is a linked list, and each key-value pair is stored in a node in the corresponding linked list. When a collision occurs, the new key-value pair is added to the end of the linked list at the corresponding index. In open addressing, when a collision occurs, a different index in the array is searched for to store the new key-value pair. There are several techniques for open addressing, such as linear probing, quadratic probing, and double hashing. Hash tables have an average case time complexity of O(1) for insertion, deletion, and lookup operations, making them a highly efficient data structure for many applications, such as database indexing, caching, and compiler symbol tables. However, their worst-case time complexity can be as bad as O(n) in rare cases, such as when there are many collisions and the hash table needs to be resized. Less

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Look at the mean average precision of the movies that the users watch out of the rankings. So if out of 10 recommended movies one user prefers the third and the other user prefers the sixth, the recommendation engine of the user who preferred the third would be better. InterviewQuery.com has it more in depth of an answer. Less

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It's essential to demonstrate that you can really go deep... there are plenty of followup questions and (sometimes tangential) angles to explore. There's a lot of Senior Data Scientist experts who've worked at Netflix, who provide this sort of practice through mock interviews. There's a whole list of them curated on Prepfully. prepfully.com/practice-interviews Less

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That is one way but also clustering algorithms can help in doing it in a more efficient ways Less

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Of course there are many ways to separate the market. But apple has already got several segments that I believe work. First is the Mac line, within this is The education market. This includes 3 segments. Instructors, Students, and Schools. Instructors will be more likely to spend more on a single product, and buy software relevant to their subjects, but these decisions will influence there students to do the same, but generally students will seek a "value" product, and will buy software based on requirements. School on the other hand will buy a large amount of Computers and software at once, which also effect instructor and student purchases. So selling to schools will raise the sales in both other categories, and selling to instructors will raise the sales for students. This is just the first segment. You also have corporate industries which are similar to Education. Now lets move to the iPhone Segment within this segment you have to ask, why do people buy iPhone. There is the High-Tech segment, meaning those who always want the newest and best. Then you have the Mid-Tech segment. These are those that don't feel it is logical to flip out phones each year, they wait for two years before buying a phone. Now lets move into iPad. Interestingly this segment can move from business, to leisure. The business segment seeks to have an iPad because it allows them to get work done faster and easier. The leisure market seeks to have an iPad because it brings them entertainment and helps them relax. Then lets go to iPod. The wonder of the iPod, the product that sent Apple on a crash course to stardom. I believe the greatest segment for the iPod would be parents wanting to get a gift for kids / something to keep kids entertained. because the iPhone acts as a iPod there is a spill of sales that goes to iPhone, although the iPod touch does offer an affordable alternatives to those who do not want an iPhone. Although the iPod Nano does capture the convenience segment. These are just the segments for the Main Products of apple. Less

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Looking at the first answer makes me doubtful about what a cubic means. If its a cube only, then the answer should be 6*(5*5), as mentioned above. Less

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The simplest answer will be 5*5*5-3*3*3=98

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Ya we will report it to police and cybercrime their all numbers their all Email ids and all from so called company people to specialist learning institute we will report everyones number Less

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its a serious issue please report to cybercrime police benguluru.