Tableau-Desktop-Found Connecting to and Preparing Data Practice Question
You have a large CSV file with millions of rows. You want to keep the data updated every morning. What is the best strategy?
⚠ Common exam trap
Candidates often suggest a full refresh every morning for massive datasets, which wastes processing time and system resources by reloading unchanged historical data.
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
✓
Create an extract and schedule an incremental refresh
Scheduled refreshes for extracts are the standard way to maintain data freshness for large files. By creating an extract, you optimize performance. By publishing it to Tableau Server or Cloud, you can leverage automated refresh tasks. This ensures that users always have the latest data without needing to manually refresh the file, balancing performance requirements with the need for timely, up-to-date business intelligence.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a live connection to the CSV
Why it's wrong here
Live connections to large CSV files are extremely slow because Tableau must scan the entire file for every query. This leads to a poor user experience. For millions of rows, an extract is mandatory to provide the performance that business users expect for their reporting dashboards.
- ✓
Create an extract and schedule an incremental refresh
Why this is correct
An incremental refresh only adds new records to the existing extract instead of re-processing the entire multi-million row file. This is the most efficient strategy for keeping large datasets current, significantly reducing the time and computational resources required for daily data updates on the Tableau platform.
- ✗
Manually refresh the extract every morning
Why it's wrong here
Manual processes are prone to human error and are not scalable. In a professional environment, automation is required to ensure reliability. Relying on a person to remember to perform the refresh each morning is a business risk that can lead to stale data and incorrect decision-making.
- ✗
Convert the CSV into a JSON file
Why it's wrong here
Converting the file format does not resolve the performance issue of large data volumes. Both CSV and JSON are flat file formats that require processing. The issue is the volume of records, not the file extension, so changing the format does not offer any measurable performance benefit.
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 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.