Databricks-DA-Assoc Executing Queries with Databricks SQL Practice Question
Which clause is used in Databricks SQL to filter results after an aggregation has been performed?
⚠ Common exam trap
Candidates frequently try to use the WHERE clause to filter aggregated results, confusing row-level filtering with group-level filtering after a GROUP BY operation.
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
✓
HAVING
The HAVING clause is specifically designed to filter groups created by the GROUP BY clause. Unlike the WHERE clause, which filters rows before aggregation, HAVING operates on the resulting aggregated data. Mastering this distinction is fundamental for writing reports that require thresholds on calculated metrics, such as identifying products with total sales greater than a specific monetary value in a monthly summary.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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WHERE
Why it's wrong here
The WHERE clause filters individual rows before any grouping or aggregation occurs. It cannot be used to filter based on aggregated results like SUM or COUNT. Attempting to use WHERE for post-aggregation filtering will cause a syntax error because the aggregated metrics do not exist at that execution stage.
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GROUP BY
Why it's wrong here
The GROUP BY clause is used to collect data across multiple records and group the results by one or more columns. It does not perform filtering itself; rather, it organizes the data for aggregation. Filtering the grouped results requires the addition of a HAVING clause to apply logical conditions.
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HAVING
Why this is correct
The HAVING clause filters records after the GROUP BY operation has aggregated the data. It is the correct syntax for applying conditions to metrics like SUM, AVG, or COUNT, enabling analysts to isolate specific groups based on calculated thresholds rather than row-level values found in the original source tables.
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FILTER
Why it's wrong here
While there is a FILTER clause used within aggregate functions (e.g., SUM(sales) FILTER (WHERE region = 'US')), it is not a standalone clause for filtering aggregate groups. Using it incorrectly as a top-level clause will result in a syntax error, as it is not designed to function like the WHERE or HAVING clauses.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Databricks exam blueprint
This Databricks-DA-Assoc practice question is part of Courseiva's free Databricks certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Databricks-DA-Assoc exam.