Tableau-Desktop-Found Understanding Tableau Concepts Practice Question
Which Tableau feature should be used to display a metric from a secondary data source that is not joined to the primary source?
⚠ Common exam trap
Candidates often confuse Data Blending with Relationships, mistakenly thinking blending alters the underlying database structure or creates permanent physical joins across multiple data sources.
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
✓
Data Blending
When working with multiple data sources, sometimes data cannot be physically joined. Understanding when to use Data Blending vs. Relationships is key. Blending allows for 'left join-like' behavior on aggregate values from different sources without a physical merge. This is vital for analysts combining disparate KPIs, such as comparing CRM sales data with third-party marketing spend metrics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Data Blending
Why this is correct
Data blending is the primary solution for combining data from multiple sources in a single sheet when those sources cannot be joined. It aligns data based on common dimension members and executes queries independently for each source, aggregating them at the view level for comparison.
- ✗
Data Interpreter
Why it's wrong here
The Data Interpreter is used to clean up messy Excel or text files by identifying headers and removing empty rows. It has no capability to combine two different data sources or to perform operations across disparate databases; its sole function is to sanitize source data structure.
- ✗
Physical Join
Why it's wrong here
Physical joins are performed within the same data source connection at the physical layer. They cannot be used to combine tables from different database connections, such as combining a SQL Server table and a Salesforce object, because they require a single shared connection point to operate.
- ✗
Cross-Database Union
Why it's wrong here
A union appends rows from one table to another. It only works if the tables have identical columns and is used for stacking data. It does not perform the 'left join' aggregation behavior required to associate metrics from different sources, making it ineffective for comparing disparate KPIs.
About these practice questions
Courseiva writes every Tableau-Desktop-Found question from scratch — 126 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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 Tableau (Salesforce) exam blueprint
This Tableau-Desktop-Found practice question is part of Courseiva's free Tableau (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 Tableau-Desktop-Found exam.