Guide-linked quiz · Hard Level

AI for Data Analysts Quiz

Tests AI-drafted SQL risks like join fan-out, methods for checking AI analysis, and why schema context and reproducible scripts matter.

Related guide pathsAI For Data Analysts
Question 1 of 8

What was ChatGPT's data analysis feature originally called, and what does it do?

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  1. What was ChatGPT's data analysis feature originally called, and what does it do?
    • Excel Copilot, which edits spreadsheets
    • Code Interpreter, which writes and runs Python on uploaded files
    • Tableau Pulse, which builds dashboards
    • SQL Studio, which hosts databases
  2. What happens when a query joins on a non-unique key?
    • All null values are dropped
    • Time zone problems are fixed
    • Rows are duplicated and totals are inflated
    • The query runs faster
  3. What may a model do when it does not know your schema?
    • Invent plausible column or table names
    • Refuse to write any SQL
    • Always ask a clarifying question first
    • Return an empty result
  4. Which checking method does the guide recommend for AI-generated results?
    • Trust the result if the query ran without errors
    • Ask the AI whether its answer is correct
    • Rerun the query to make it faster
    • Reconcile against a known total, such as monthly revenue from the finance report
  5. What does Simpson's paradox describe?
    • Nulls being counted twice
    • A time zone mismatch in dates
    • A trend in aggregated data reversing direction within subgroups
    • Charts exaggerating small differences
  6. What risk does the guide flag in AI-written narrative reports?
    • They are always too short
    • They may state causation where the data only shows correlation
    • They refuse to summarize dashboards
    • They use too many charts
  7. Why does the guide prefer asking AI for a cleaning script instead of cleaned data?
    • Scripts are always shorter
    • AI tools cannot output data
    • Pasted data is always larger than a script
    • A script can be inspected, rerun and version-controlled, while pasted output may contain silent alterations
  8. What most improves text-to-SQL accuracy according to the guide?
    • Showing the schema: tables, column types, keys, example rows and business definitions
    • Writing shorter questions
    • Hiding table names for privacy
    • Typing the question in uppercase

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