Guide-linked quiz · Medium Level
How to Write SQL Queries with AI Quiz
Test how well you can give an AI your schema, catch join fan-out and NULL traps, and safely verify AI-generated SQL before trusting the results.
Question 1 of 8
According to the guide, what single step most improves the accuracy of AI-generated SQL?
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- According to the guide, what single step most improves the accuracy of AI-generated SQL?
- Asking the model to be extra careful
- Pasting your schema, such as CREATE TABLE statements and relationships
- Writing your question entirely in uppercase
- Always using the newest model available
- Why should you tell the AI which SQL dialect you are using?
- Only PostgreSQL supports SELECT statements
- AI models refuse to answer without a dialect
- The dialect determines how much disk space a query uses
- Dialects differ in details like date functions and LIMIT versus TOP
- You join orders to order_items and then compute SUM(orders.total). What is the likely problem?
- Revenue is inflated because each order total repeats once per item
- The query will always fail with a syntax error
- NULL values are converted to zero
- The results come back sorted in the wrong order
- Why does the guide recommend asking the AI to explain its query in plain words?
- It makes the query run faster
- SQL engines require an explanation before executing
- It exposes misunderstandings, such as counting rows instead of distinct customers
- It reduces the cost of the AI request
- Which statement about COUNT(column) and COUNT(*) is correct?
- They always return the same number
- COUNT(column) skips NULLs, while COUNT(*) counts every row
- COUNT(*) skips NULLs, while COUNT(column) counts every row
- COUNT(column) counts only distinct values
- What is the safest way to experiment with AI-generated queries?
- Run them directly on production during quiet hours
- Ask the AI whether the query is safe and trust the answer
- Use a read-only database user and wrap data changes in a transaction you can roll back
- Remove the WHERE clause so the query is simpler
- When asking an AI to optimize a slow query, what should you provide besides the query?
- A screenshot of the dashboard that uses it
- The database password
- A list of everyone who runs the report
- The execution plan from EXPLAIN or EXPLAIN ANALYZE
- Which of these is a misconception the guide warns against?
- A query that runs without errors must be returning the right answer
- The schema alone is often enough context, without real customer data
- An UPDATE without a WHERE clause affects every row
- Business rules like amounts stored in cents should be stated
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