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OpenAI SQL interview questions

Usage, tokens and API analytics with production-quality Python. Practice reconstructed OpenAI-style SQL, Python and pandas interview questions below — run and grade them instantly in your browser.

pythonsqlpandaseasy3medium8hard5

typical interview loop

  1. 1.Recruiter screen
  2. 2.Technical screen: SQL plus a Python data-manipulation exercise
  3. 3.Onsite: data modeling / pipeline design, coding, behavioral
  • › Write readable, well-tested Python.
  • › Expect usage aggregation and rate-limit style questions.

most-tested topics

JOIN
3
ratios
3
GROUP BY
2
CASE
2
window functions
2
arithmetic
1

Based on 16 reconstructed OpenAI-style questions.

practice path

1 free · 15 Pro
type
level
  1. 1Estimate token costpythoneasy
  2. 2Requests per modelsqleasy
  3. 3Total tokens per organisationsqleasy
  4. 4Accounts near their token limitsqlmedium
  5. 5Average latency by modelsqlmedium
  6. 6Error and rate-limit ratesqlmedium
  7. 7Fine-tune success ratesqlmedium
  8. 8Prompt cache hit ratiopythonmedium
  9. 9Spend by organisationpandasmedium
  10. 10Spend per modelsqlmedium
  11. 11Status breakdown sharepandasmedium
  12. 12Daily spend with running totalsqlhard
  13. 13Heaviest request per accountsqlhard
  14. 14Latency percentiles per modelpandashard
  15. 15Output-to-input token ratiosqlhard
  16. 16Sliding window rate limiterpythonhard

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