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Top 50 Having Interview Questions

The most frequently asked Having questions across all roles and companies, ranked by real interview frequency. Updated daily.

50questions
~17htotal time
161companies covered
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1
Group ByStart here. 20 questions · ~400 min
SQL Duplicate DetectionEasy
Practice
Recently asked

Find duplicate customer profiles by grouping on identifying fields and returning only repeated records.

Group ByHavingAggregationsAdtalem Global EducationUniversity of Southern CaliforniaBlue Cross Blue Shield of Michigan
Finding Duplicate RecordsEasy
Practice
Recently asked

Find duplicate customer emails using GROUP BY and HAVING in PostgreSQL.

Group ByHavingAggregationsGuy CarpenterWestern DigitalBismart
SQL Duplicate Records QueryEasy
Practice

Use GROUP BY and HAVING to identify duplicated Grail assay sample identifiers and their record counts.

Group ByHavingAggregationsTransUnionAcrisureGrail
Find Duplicates in SQLEasy
Practice
Recently asked

Use GROUP BY and HAVING to find duplicate policy records in Ryan Specialty data.

Group ByHavingAggregationsGramenerCarGurusFresh Gravity
Top Departments by Average SalaryMedium
Practice
Recently asked

Use JOIN, GROUP BY, and HAVING to find the top three departments by average salary with at least five employees.

Group ByHavingAggregationsPaylocityMcKinsey &Booz Allen Hamilton
Group Filtering with HAVINGEasy
Practice
Recently asked

Use GROUP BY and HAVING to find NetSuite customers with at least two approved sales orders.

Group ByHavingAggregationsNetsuiteIdexcelSamsung Electronics
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2
Date Functions5 questions · ~100 min
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3
Joins8 questions · ~160 min
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4
CTEs5 questions · ~100 min
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5
More topics12 questions · ~240 min
Find Duplicate Records in SQLEasy
Practice
Recently asked

Use GROUP BY and HAVING to find duplicate patient records in a Johns Hopkins Medicine dataset.

Data WranglingGroup ByHavingEmersonCareDxSberbank
SQL for Duplicate Customer RecordsMedium
Practice
Recently asked

Find customer records with repeated non-empty email addresses, treating case and surrounding whitespace as insignificant.

data cleaningGroup ByHavingHHill's Pet NutritionPhilipsPwC
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