Dataford
Interview QuestionsInterview GuidesExperiencesCoaching
New
Pricing
Get started
Dataford
Popular roles
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Browse
Browse All RolesEvery role hub, from analyst to MLBrowse All CompaniesCompany-specific interview loopsAll Interview GuidesThe full guide library
Top questions by role
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Top questions by skill
SQLPythonStatisticsMachine LearningA/B TestingSystem DesignGenerative AIProduct SenseMetricsBehavioral
Browse all questions →Try a mock interview
Experiences
Practice
Mock InterviewsTimed interview simulations with feedbackCoaching1:1 coaching with people at your target companiesSuccess PathYour 6-week structured planModulesCurated lessons by topicWebinarsTalks from ex-Big Tech data leadsPlaygroundA free-form scratch editor
Learn
BlogInterview strategy and career adviceTech Job Market ReportHiring trends across data and AI rolesFor UniversitiesDataford for career centersAbout DatafordWho we are and how we build
Pricing
Build my plan
Equal Side Sum Index
00:00
5 left

Equal Side Sum Index

MediumPython

Problem

Given an array of numbers (assume the array has three or more values), should return an index where the sums of the elements on either side of that index are equal; how would you solve it for examples like [2, 3, 4, 4, 1]?

Implement find_pivot_index(nums). Return any valid index, or -1 when no such index exists. The pivot value itself is excluded from both sums. Input is a list of integers, and output is an integer index.

Constraints

  • 3 <= nums.length <= 1000
  • -10^9 <= nums[i] <= 10^9
  • Return any valid pivot index if multiple indices qualify
  • Return -1 when no valid pivot index exists

Function Signature

def find_pivot_index(nums):
Interviewer

Your question is Equal Side Sum Index. 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.

You need to log in / sign up to run or submit.
CodePython 3
Sign up free to run your codeLog inLn 2
Run your code to see test output here.