Computer Technical Support Interview Questions

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Coding Challenges using C/C++, required specific knowledge of data structures and algorithms. The challenges were not atypical, but did not have fully modeled test cases for edge use, so one had to devise them alone. No critique of code was given.
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Computer Programmer

Interviewed at Sucker Punch Productions

3.6
May 28, 2020

Coding Challenges using C/C++, required specific knowledge of data structures and algorithms. The challenges were not atypical, but did not have fully modeled test cases for edge use, so one had to devise them alone. No critique of code was given.

Design choice: Which rate-limiting algorithm would you choose (token bucket, leaky bucket, fixed window, sliding window, etc.) and why? Consistency vs availability: During a network partition, would you rather: Strictly enforce the limit (never exceed 100), or Allow slight overages to keep availability high? Explain your tradeoff using CAP theorem. Architecture: Sketch (in words) the system architecture: Where is the rate-limit state stored? How do regions coordinate (if at all)? What happens on each request? Edge case: How do you prevent a single user from bypassing limits by sending requests to multiple regions simultaneously? Failure handling: What happens if Redis (or your state store) goes down in one region?
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Computer Engineering Intern

Interviewed at Hepsiburada.com

3.2
Dec 27, 2025

Design choice: Which rate-limiting algorithm would you choose (token bucket, leaky bucket, fixed window, sliding window, etc.) and why? Consistency vs availability: During a network partition, would you rather: Strictly enforce the limit (never exceed 100), or Allow slight overages to keep availability high? Explain your tradeoff using CAP theorem. Architecture: Sketch (in words) the system architecture: Where is the rate-limit state stored? How do regions coordinate (if at all)? What happens on each request? Edge case: How do you prevent a single user from bypassing limits by sending requests to multiple regions simultaneously? Failure handling: What happens if Redis (or your state store) goes down in one region?

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