Data 360 Consultant Segmentation And Insights Practice Question
A consultant is designing a Calculated Insight to track the number of distinct product categories a customer has purchased from over the last 90 days. Which SQL function should be used to count unique categories correctly in Data Cloud?
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
✓
COUNT(DISTINCT category_id)
Calculated Insights support standard ANSI SQL functions, including COUNT(DISTINCT column_name) for calculating unique counts across dimensions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
DISTINCT_SUM()
Why it's wrong here
DISTINCT_SUM does not exist in ANSI SQL.
- ✗
GROUP_CONCAT()
Why it's wrong here
GROUP_CONCAT concatenates strings, it does not count distinct numerical values.
- ✓
COUNT(DISTINCT category_id)
Why this is correct
COUNT(DISTINCT ...) is the standard ANSI SQL aggregate function used to calculate distinct counts in Data Cloud Calculated Insights.
- ✗
UNIQUE_COUNT()
Why it's wrong here
UNIQUE_COUNT is not a standard ANSI SQL function supported in Data Cloud.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Salesforce exam blueprint
This Data 360 Consultant practice question is part of Courseiva's free Salesforce 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 Data 360 Consultant exam.