Interview Questions

Chetak C. - "Probability that one of the coupons is used = 1 - Probability that no coupon is used = 1 - nC0 p^0 * (1-p)^n = 1 -(1-p)^n"See full answer

Exponent - "This is a classic Favorite Product question with a constrained product type. For this, we want to make sure it's a SaaS product. Let's go over the Favorite Product formula before diving in: Choose a product and briefly explain what it is Who are the users? What are their pain points? How did competitors solve it in the past? How does this product address these pain points differently and better? How would you improve it/make it better? **Summarize"See full answer

Mitchell K. - "What kind of experiences do you recommend I put on my resume to be a compelling PMM candidate at big tech companies like FAANG?"See full answer

Anonymous - "Understand the rationale around why another PM has an opposing opinion. At the end of the day it cannot be your word against mine and the opinion has to be data-based. Taking time to listen and asking clarification questions will promote a healthy partnership Once we get the perspective, Look for data points that can support my POV over the other PMs POV Lastly evaluate if we can land on a 51-49% approach where we find a middle ground to accommodate another pm's opinion/solution as"See full answer

Kanika - "https://www.freecodecamp.org/news/what-happens-when-you-hit-url-in-your-browser/"See full answer

Nilanjan D. - "I think we can analyse the data that's collected especially the users who are requesting it.if we find that there are set of users who regularly use this service then we may cache the data for those users to speed up processing and better the experience. The fresh data (which will be a delta on the cached data can only be calculated) and the stale data can be left out thereby updating the cache"See full answer

Vinayak A. - "First thing I would do is dig deeper into the problem. Starting off with the data source suggesting the drop of 10%. Next is investigating - what does drop in traffic mean? For example - 10% drop in logins, email traffic, email creation. Next, once I identify the its for example an issue with logins, I would like to drill a deeper into further isolating the problem based on geography, operating platform (mobile/desktop), specific time of day, any other information I could get. At this point,"See full answer

Nick S. - "[I'm not sure whether the answer below is the best, as I have not gotten result and feedback from my interview] Ans: I would solve by first using a VAE-style model, to create a latent space embedding that translates user description to generate images. Training would be done on the 1000 avatar images and 100000 descriptions, following this scheme: VAE: description -> encoder -> latent space -> decoder -> image Q: "OK, but that means you're limiting the generated images to be only the 1000 imag"See full answer

Tiago R. - "function permute(nums) { if (nums.length <= 1) { return [nums]; } const prevPermutations = permute(nums.slice(0, nums.length-1)); const currentNum = nums[nums.length-1]; const permutations = new Set(); for (let prev of prevPermutations) { for (let i=0; i < prev.length; i++) { permutations.add([...prev.slice(0, i), currentNum, ...prev.slice(i)]); } permutations.add([...prev, currentNum]); } return [...permutations]"See full answer

Catherine I. - "In keeping with the STAR method, I discussed a mandated change in our vendors where we were swapping one contracting company for another with little time for transition. My actions included leveraging skills of my employees to develop a transition plan so that the transition was minimally disruptive to our projects."See full answer