Data 360 Consultant Data Cloud Overview Practice Question
An enterprise customer using Data Cloud wants to calculate the total lifetime value (LTV) of a customer using a complex SQL query that joins multiple Data Model Objects (Individual, Order__c, and Invoice__c). Which feature should the consultant use to build this metric?
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
✓
Calculated Insights
Calculated Insights use ANSI SQL to compute metrics, KPIs, and aggregates across multiple DMOs and DLOs within Data Cloud.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Identity Resolution Ruleset
Why it's wrong here
Identity Resolution is used to match and unify profile records, not to calculate financial metrics.
- ✗
Data Model Mapping
Why it's wrong here
Data Model Mapping connects raw DLO fields to standard or custom DMOs, it does not perform calculations.
- ✓
Calculated Insights
Why this is correct
Calculated Insights allow consultants to write ANSI SQL queries to calculate metrics like LTV across related data objects.
- ✗
Segmentation Builder
Why it's wrong here
Segmentation is used to target audiences based on criteria, not for complex calculations like LTV.
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.