Interview Questions

Ash I. - "Refer https://www.linkedin.com/pulse/good-product-managers-great-shreyas-doshi/"See full answer

Rafał P. - "def changeString(org: str,target:str) -> bool: lOrg = len(org) lTarget = len(target) \# They have to be equal in lenght if lOrg != lTarget: return False counter1 = Counter(org) counter2 = Counter(target) \# Counter internally iterates through the input sequence, counts the number of times a given object occurs, and stores objects as keys and the counts as values. if counter1 != counter2: return False diff = sum(org[i] != target[i] for i in range(n)) return diff == 2 or (diff == 0 and any(v > 1 f"See full answer

Adhitya G. - "Clarifying Questions: Product → It is a online Professional Services platforms where jobs are made much easier for both recruiters and for job-seekers Goal → Increase Number of Users/ Any other Business Goal? Mission → It is to make job-posting/seeking completely hassle free and accessible to everyone. Do we have any timeframe to do this and is there any growth rate that I should be targeting? - 5x in 5 years Students → Are we focusing on Full-time or Part-time students? Any"See full answer

Imran R. - "What are some of the Tradeoff stories Amazon prefers? Do they prefer the Feature Prioritization type of tradeoff or technology/platform type of tradeoffs? "See full answer

Mark K. - "This problem could be solved in two ways(both using Kadane's algorithm): Simple iterating 1-D dp function maxSubarraySum(nums) { const n = nums.length; if ( n === 0) return 0; const dp = Array(n).fill(0); dp[0] = nums[0]; for (let i = 1; i < n; i++) { dp[i] = Math.max(nums[i], dp[i - 1] + nums[i]); } return Math.max(...dp); } "See full answer

Abhinav J. - "Use Normalization when: When using pixel values (0-255) into a Neural Network. ➔ Normalize the data between [0,1] to avoid huge input values that could slow down training. When using k-Nearest Neighbors (kNN) or K-Means Clustering. ➔ Because distance metrics like Euclidean distance are highly sensitive to magnitude differences. You are building a Recommender System using Cosine Similarity.➔ Cosine similarity needs data to be unit norm. Use **Sta"See full answer

Basil A. - " import java.io.*; import java.util.*; class Solution { static int[] sortKMessedArray(int[] arr, int k) { // your code goes here int n = arr.length; PriorityQueue pq = new PriorityQueue(); for(int i = 0; i <=k && i < n; i++) { pq.add(arr[i]); } int idx = 0; for(int i = k+1; i < n; i++) { arr[idx++] = pq.poll(); pq.add(arr[i]); } while(!pq.isEmpty()) { arr[idx++] = pq.poll(); } return arr; } publ"See full answer

Anonymous Sparrow - " To start, I'm going to make sure I understand the product correctly and also define what specific business metric we're trying to improve. Second, I will focus on defining the target user for which we want to improve the product and brainstorm what additional user problems we could solve. And third, I will generate solutions for these problems, prioritize them, and make a recommendation." First I want to understand if this product will aim to help me find the pet I want, or help me discover wh"See full answer

Bulent K. - "I said we could always revert the production issues. Solve it at DEV environment and then publish again. Interviewer gave me an example of it like a database schema change that may not be possible to revert. I said that we always used SQL scripts to upgrade and downgrade the database schema for each production deployment. So it would not be a problem for us. I guess my answer was not accepted."See full answer

James W. - "Conflict is unavoidable for any project. The most important part of moving past conflict is to understand why it manifested in the first place. I would start by understanding: What type of conflict is it? 1 on 1, with another team, with another function? What shape it? Is it about communication, strategy, implementation, style? What impact does it have? Will it affect our timelines, how we work together, etc How do I feel about it? Is it a thorn in my side or something"See full answer

G. D. - "It's possible the Onboarding Flow is fine as it is - but I would do some initial hands-on exploring. I would go through the boarding steps myself. Re-Visit the flow with a clean perspective. Take notes on Pros & Cons. Things I liked. Things I didn't like. Create a table. Brainstrorm some UI / UX / Flow features that could use some improvement. If my simple analysis warranted some more exploration - I would do an informal survey with my immediate internal colleagues - and possibly even my tight"See full answer

Niaz - "Assumption about the teleportation machine: Teleportation is instantaneous like Star Trek The product does not take too much space maybe 6 ft by 6 ft and 10ft high is good enough Teleportation works vertically both above ground and underground as well as going 100 meters horizontally If possible you can combine multiple teleportation machine to repeat teleportation Users groups A product like this can be leveraged for almost everyone but I think I want to focus on users who ha"See full answer

Aidynn E. - "Let's start with clarifying question -> What do we want to achieve with increased engagement? Let's say Spotify has personalization that prefers more engaged songs/podcast to be available to new users (who have not heard that song). Along the same lines as Facebook/Linkedin/Instagram prefers posts. The more the song/podcast is engaged among users, for more people it will be visible to listen. What users we are targeting? There are 2 broad categories of users such as creators and listen"See full answer

Anonymous Angelfish - "Not at all impressed. Very simple problem he is solved"See full answer