Development Director Interview Questions

2,479 development director interview questions shared by candidates

I appreciated all the tough questions I got in the interview process ("curly" questions as they are sometimes called). During the presentation, I received a few questions that there was no way I could possibly know without having actually been in the role. Of course, the interviewers wanted to see how I'd react to a question I didn't know the answer to. I was also encouraged to focus on high-value questions, particularly with the CEO. That made me focus on the important points, and weed out the fluff. I also felt encouraged and empowered to ask tough questions of my interviewers to really make sure I was a fit for them, and vice versa.
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Director of Business Development

Interviewed at Rokt

3.9
Sep 21, 2020

I appreciated all the tough questions I got in the interview process ("curly" questions as they are sometimes called). During the presentation, I received a few questions that there was no way I could possibly know without having actually been in the role. Of course, the interviewers wanted to see how I'd react to a question I didn't know the answer to. I was also encouraged to focus on high-value questions, particularly with the CEO. That made me focus on the important points, and weed out the fluff. I also felt encouraged and empowered to ask tough questions of my interviewers to really make sure I was a fit for them, and vice versa.

Round 3: Q1) Count the number of occurrences (or frequency) of a number in a sorted array. Solution: https://www.geeksforgeeks.org/count-number-of-occurrences-or-frequency-in-a-sorted-array/ Q2) Design a TinyUrl System
May 30, 2021

Round 3: Q1) Count the number of occurrences (or frequency) of a number in a sorted array. Solution: https://www.geeksforgeeks.org/count-number-of-occurrences-or-frequency-in-a-sorted-array/ Q2) Design a TinyUrl System

Round 5: This was an offline round. 3 question were shared on mail and had to revert with a solution. 1. Algo question: · N people, M restaurants, on a one-dimensional street. All the people are to meet at one restaurant, find the restaurant, where total travel distance from all people to that restaurant is the shortest among all restaurants. · The problem can be solved with brutal force with O(n*m) complexity. The question is how to solve it faster than brutal force. · Describe the algorithm, and why it is better than brutal force. Coding is not required 2. Coding question: · Binary tree in memory (not sorted, not balanced), write code to serialize the binary tree to disk, then deserialize from disk and re-construct in memory. · Runnable code is required. You may use any language you like. You may also decide the format on disk. 3. System design: · 1 million backend server that serves search traffic (think it as search service by google). · 10k frontend servers – the FE servers intend to act as load balance the incoming traffic to the BE servers. · Incoming traffic to the 10k FE servers are not balanced: there can be cold FE servers and hot FE servers · Design the system/algorithm, where the traffic to BE servers are balanced. · The design should be within today’s computer architecture, ideally without centralized components.
May 30, 2021

Round 5: This was an offline round. 3 question were shared on mail and had to revert with a solution. 1. Algo question: · N people, M restaurants, on a one-dimensional street. All the people are to meet at one restaurant, find the restaurant, where total travel distance from all people to that restaurant is the shortest among all restaurants. · The problem can be solved with brutal force with O(n*m) complexity. The question is how to solve it faster than brutal force. · Describe the algorithm, and why it is better than brutal force. Coding is not required 2. Coding question: · Binary tree in memory (not sorted, not balanced), write code to serialize the binary tree to disk, then deserialize from disk and re-construct in memory. · Runnable code is required. You may use any language you like. You may also decide the format on disk. 3. System design: · 1 million backend server that serves search traffic (think it as search service by google). · 10k frontend servers – the FE servers intend to act as load balance the incoming traffic to the BE servers. · Incoming traffic to the 10k FE servers are not balanced: there can be cold FE servers and hot FE servers · Design the system/algorithm, where the traffic to BE servers are balanced. · The design should be within today’s computer architecture, ideally without centralized components.

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