Concurrency Question Focus | Dataford Interview Questions

Describe a concurrency question you encountered and how you approached it.

For this coding exercise, implement parallel_sum(nums, worker_count) using multiple threads and a thread-safe work queue. Return the sum of all integers, ensuring shared state is synchronized and the function handles empty input.

Input is an integer array and a positive worker count. Output is one integer containing the array sum.

Constraints

0 <= len(nums) <= 100000
-10^9 <= nums[i] <= 10^9
1 <= worker_count <= 1000
The input worker_count is valid and positive

Function Signature

def parallel_sum(nums, worker_count):

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Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.

Problem

Describe a concurrency question you encountered and how you approached it.

Input is an integer array and a positive worker count. Output is one integer containing the array sum.

Constraints

0 <= len(nums) <= 100000
-10^9 <= nums[i] <= 10^9
1 <= worker_count <= 1000
The input worker_count is valid and positive

Function Signature

def parallel_sum(nums, worker_count):

Your question is Concurrency Question Focus. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.