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DA0-002 Data Acquisition and Preparation Practice Question

A data analyst runs the following query: SELECT DISTINCT city FROM customers. What is the primary purpose of using the DISTINCT keyword in this query?

⚠ Common exam trap

The trap is confusing DISTINCT with ORDER BY or COUNT, causing candidates to select an answer that describes sorting or counting rather than deduplication.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

To remove duplicate city names

The DISTINCT keyword in a SELECT statement eliminates duplicate rows from the result set. In 'SELECT DISTINCT city FROM customers', if multiple customers live in the same city, that city name appears only once in the output, producing a list of unique city values. DISTINCT operates on the entire row of selected columns, so if multiple columns are selected, the combination must be unique to be retained.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    To sort the cities alphabetically

    Why it's wrong here

    DISTINCT removes duplicate rows from the result set; it does not order output, and any apparent ordering is incidental. It is tempting because deduplicated results often look grouped or sorted, but alphabetical ordering requires an explicit ORDER BY city clause, which this query omits.

  • ✗

    To count the number of cities

    Why it's wrong here

    DISTINCT returns unique city values rather than a total; counting requires an aggregate such as COUNT(DISTINCT city). It does not tally rows. DISTINCT is appropriate when the analyst needs the list of unique cities themselves, not the number of customers or cities present.

  • ✗

    To filter cities that start with a specific letter

    Why it's wrong here

    DISTINCT removes duplicate rows from the result set; it does not restrict rows by value. Filtering cities beginning with a letter requires a WHERE clause with a LIKE or comparison predicate. DISTINCT would be the right tool when a column contains repeated values and only unique entries are wanted.

  • ✓

    To remove duplicate city names

    Why this is correct

    DISTINCT collapses duplicate rows in the result set, so each city name appears once. Applied to the single selected column, it returns the unique list of cities, eliminating repeated values that would otherwise appear for every matching customer record.

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Last reviewed September 2026 · checked against the official CompTIA exam blueprint

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