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
Find Top-K Frequent Interactions
00:00
5 left

Find Top-K Frequent Interactions

MediumPython

Problem

Pearson MyLab collects student engagement logs, where each log identifies an interaction such as "view_assignment" or "submit_quiz". Given a list of interaction names and an integer k, return the k most frequent interactions.

Use frequency counting and an efficient selection strategy rather than sorting every interaction when k is much smaller than the number of distinct interactions.

Formal Specification

Implement top_k_interactions(logs, k).

  • Input: logs, a list of strings, and k, a positive integer.
  • Output: A list of [interaction, frequency] pairs.
  • Order results by decreasing frequency. If two interactions have the same frequency, order them lexicographically by interaction name.
  • Return all distinct interactions if k exceeds the number of distinct interactions.

Constraints

  • 1 <= len(logs) <= 10^5
  • 1 <= k <= 10^4
  • Each interaction name is a non-empty string of at most 50 characters
  • The number of distinct interactions may be as large as len(logs)

Function Signature

def top_k_interactions(logs, k):
Interviewer

Your question is Find Top-K Frequent Interactions. 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.