Tableau Interview Questions with Answers Part-1 ✅📊

1. What is Tableau? 
   Tableau is a powerful data visualization and business intelligence tool that helps turn raw data into interactive, shareable dashboards and reports for insightful decision-making.

2. Explain the key components of Tableau. 
   Main components include Tableau Desktop (for report creation), Tableau Server (on-prem sharing platform), Tableau Online (cloud version), Tableau Prep (data preparation), and Tableau Public (free version).

3. Differentiate between Tableau Desktop, Tableau Server, and Tableau Online.
⦁ Desktop: Build visualizations and reports locally.
⦁ Server: Host and share reports within your organization on-premise.
⦁ Online: Cloud-hosted Tableau Server for easy access and sharing without infrastructure setup.

4. What are the different types of data connections in Tableau? 
   Tableau supports live connections and data extracts from multiple sources like Excel, SQL databases, cloud sources (AWS, Google BigQuery), and web data connectors.

5. Explain the data extraction process in Tableau. 
   Data extracts are snapshots of data optimized for fast performance. You can create extracts to work offline, improve speed, and schedule refreshes to keep data current.

6. What is Tableau Prep Builder? 
   Tableau Prep Builder is a tool used to clean, combine, transform, and prepare data before analysis and visualization in Tableau.

7. How do you clean and transform data in Tableau Prep? 
   By applying steps like filtering, grouping, pivoting, splitting columns, replacing values, and aggregating data to create a clean and structured dataset.

8. What are the different data transformations available in Tableau Prep? 
   Includes filtering rows, pivot/unpivot, creating calculated fields, splitting and merging fields, aggregating data, and data type changes.

9. Explain the concept of data blending in Tableau. 
   Data blending combines data from different sources on a common field without physically joining them, useful when tables come from different databases or systems.

10. What is data joining in Tableau? 
    Joining physically combines tables from the same data source based on related columns (keys), allowing you to analyze combined data within Tableau.

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