Tableau Interview Questions and Answers for 10 years experience

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100 Tableau Interview Questions & Answers (10 Years Experience)

  1. What are the different data sources Tableau can connect to?

    • Answer: Tableau can connect to a vast array of data sources, including relational databases (SQL Server, Oracle, MySQL, PostgreSQL), cloud databases (Snowflake, Amazon Redshift, Google BigQuery), spreadsheets (Excel, Google Sheets), NoSQL databases (MongoDB), data cubes (OLAP), and various other file formats (CSV, TXT, JSON).

  2. Explain the difference between live and extract connections.

    • Answer: A live connection queries the data source in real-time every time the workbook is opened or refreshed. An extract is a snapshot of the data at a specific point in time, stored locally for faster performance. Live connections provide the most up-to-date data, while extracts offer better performance for large datasets but require regular refreshing.

  3. Describe different types of joins in Tableau.

    • Answer: Tableau supports various joins: Inner join (returns only matching rows from both tables), Left join (returns all rows from the left table and matching rows from the right), Right join (returns all rows from the right table and matching rows from the left), Full outer join (returns all rows from both tables), and Union (combines rows from multiple tables with similar structures).

  4. How do you handle large datasets in Tableau?

    • Answer: Techniques include using extracts, optimizing data sources (e.g., creating optimized views or materialized views), data blending (to combine smaller datasets), using data aggregation techniques, leveraging Tableau's data engine optimizations, and exploring techniques like hyper extracts for significantly improved performance.

  5. What are different chart types and when would you use them?

    • Answer: Tableau offers many chart types: bar charts (comparing categories), line charts (showing trends over time), scatter plots (showing correlations), pie charts (showing proportions), maps (geographic data), heatmaps (showing density), etc. The choice depends on the data and the message you want to convey. For example, use line charts for time series, bar charts for comparisons, and scatter plots to explore correlations.

  6. Explain the concept of calculated fields in Tableau.

    • Answer: Calculated fields allow you to create new fields based on existing data using formulas. These formulas use Tableau's built-in functions (e.g., SUM, AVG, IF, CASE) and can significantly enhance data analysis by allowing custom calculations and transformations.

  7. How do you create a dashboard in Tableau?

    • Answer: Dashboards are created by dragging and dropping worksheets, maps, and other visual elements onto a dashboard canvas. You can arrange these elements, add filters, parameters, and other interactive components to create a comprehensive view of the data.

  8. What are parameters in Tableau and how are they used?

    • Answer: Parameters are user-defined variables that allow users to interact with dashboards by selecting values. They can be used to filter data, control calculations, or dynamically change the visualizations displayed.

  9. Explain different types of filters in Tableau.

    • Answer: Tableau offers different filter types including context filters (applied first, affecting all subsequent filters), data source filters (applied to the data source before joins), worksheet filters (affecting only the current worksheet), and quick filters (easy-to-use interactive filters).

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