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