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
DBMS and Data Manipulation
00:00
5 left

DBMS and Data Manipulation

MediumSQL · PostgreSQL

Problem

Explain core DBMS concepts and how you would model and query data for a real application.

Use the supplied relational model to demonstrate primary keys, foreign keys, normalization, NULL handling, and a query that summarizes approved claims for every policyholder.

Output

  1. One row per policyholder, including policyholders with no approved claims
  2. Columns: policyholder_name, policy_status, approved_claim_count, approved_claim_total, claim_summary
  3. Sort by approved claim total descending, then policyholder ID ascending for ties

Schema

policyholders
ColumnTypeDescription
policyholder_idPKINTUnique policyholder identifier
policyholder_nameVARCHAR(120)Policyholder full name
policy_statusVARCHAR(20)Current policy status
claims
ColumnTypeDescription
claim_idPKINTUnique claim identifier
policyholder_idINTReferenced policyholder
claim_dateDATEDate the claim was submitted
claim_typeVARCHAR(40)Type of insurance claim
claim_statusVARCHAR(20)Current claim status
claim_amountDECIMAL(12,2)Claim amount in dollars
Tablespolicyholdersclaims
Interviewer

Your question is DBMS and Data Manipulation. Start with the requirements and the two tables 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.
CodePostgreSQL
Sign up free to run your codeLog inLn 1
Run your query to see results here.