DA0-002 Data Acquisition and Preparation Practice Question
A data analyst needs to identify duplicate customer records based on email and phone number. Which SQL techniques can be used to find duplicates? (Select TWO).
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
✓
Use a CTE to assign ROW_NUMBER() and then select rows where rn > 1
GROUP BY with COUNT and HAVING COUNT > 1 filters groups with duplicates. ROW_NUMBER() with PARTITION BY can assign row numbers to identify duplicates.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
SELECT email, phone FROM customers ORDER BY email, phone
Why it's wrong here
ORDER BY sorts but does not identify duplicates.
- ✗
SELECT DISTINCT email, phone FROM customers
Why it's wrong here
DISTINCT removes duplicates, but does not identify them.
- ✗
SELECT email, phone, ROW_NUMBER() OVER (PARTITION BY email, phone ORDER BY customer_id) AS rn FROM customers WHERE rn > 1
Why it's wrong here
Cannot reference window function alias in WHERE; must be in a subquery.
- ✓
Use a CTE to assign ROW_NUMBER() and then select rows where rn > 1
Why this is correct
A CTE with ROW_NUMBER() can identify duplicates by filtering on rn > 1.
- ✓
SELECT email, phone, COUNT(*) FROM customers GROUP BY email, phone HAVING COUNT(*) > 1
Why this is correct
This groups by the columns and returns groups with more than one row (duplicates).
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Written by Johnson Ajibi, MSc IT Security
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