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Tableau Interview Questions

Top 25 Tableau Interview Questions for 2020

Searching out for the frequently asked Tableau interview questions that could help you ace the interview? You’re at the right place as here we’ve covered top Tableau interview questions and answers.

The sheer volume of data generated in the world till now and the exponential growth in the pace of creation of data create possibilities as well as challenges. Presently, the world generates more than 2.5 quintillion bytes of data. Furthermore, estimates have also suggested that almost every person would generate 1.7MB of data every second by the end of 2020.

So, enterprises want comprehensive data visualization tools to collect, organize, refine, and analyze the data for achieving exceptional business advantage. The demand for Tableau as a popular data visualization tool has created potential career opportunities.

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Top Tableau Interview Questions

The aspiring candidates search for the frequently asked Tableau interview questions that can help them strengthen their preparations for careers in Tableau. Here is an outline of the latest Tableau interview questions and answers that can provide you the right support for starting a career in data visualization.

Tableau Basics Interview Questions

Whether you are a beginner or experienced candidate, you may come across a number of basic questions in the Tableau interview. So, here are the simple and straight most common Tableau interview questions you should go through.

1. What is Tableau?

This is one of the top Tableau interview questions among mandatory addition all candidates can expect. Tableau is a software solution for business intelligence and allows any individual to connect with their respective data. It can help in the visualization and creation of interactive and shareable dashboards.

2. What is the difference between Tableau and Traditional Business Intelligence tools?

Candidates can expect this most common Tableau interview question for their preparations. Tableau is different from traditional business intelligence tools in terms of the lack of any dependencies. Tableau is comparatively faster than traditional BI tools based on a complex set of technologies. Most important of all, Tableau provides the advantage of predictive analysis over traditional business intelligence.

3. What are the notable additions in the Tableau Product Portfolio?

This is also one of the most common Tableau interview questions candidates should expect in a real interview. Here is an outline of the different Tableau products.

  • Desktop
  • Server
  • Online
  • Public
  • Reader

4. What do you know about .twb and .twbx extension?

The .twb extension indicates an XML document containing all selections and layout made in a Tableau workbook. The document does not contain any data. On the other hand, the .twbx extension indicates a zipped archive that contains.twb and external files such as background images and extracts.

5. What data types are supported in Tableau?

Candidates should also prepare for this frequently asked Tableau interview question. The common data types supported on Tableau include,

  • Boolean
  • Date
  • Date and Time
  • Text or String
  • Whole Number
  • Decimal Numbers
  • Geographical Value

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6. Define Measures and Dimensions in Tableau.

This is also one of the top Tableau interview questions to test the knowledge of candidates about Tableau fundamentals. Measures are basically the measurable quantity or numeric metrics of data, which could be subject to analysis with a dimension table. On the other hand, dimensions are descriptive values for attributes to indicate multiple dimensions of every attribute. In addition, dimensions also provide a comprehensive outline of the multiple characteristics of each attribute.

7. What are the notable features of Tableau?

The significant features of Tableau are a mandatory addition in almost any outline of the most common Tableau interview questions. The noteworthy features of Tableau as a business intelligence tool are as follows,

  • Data blending and real-time analysis capabilities
  • DAX analysis function
  • Data collaboration and data notifications
  • Mobile-ready and shareable dashboards
  • Support for a list of native data connectors
  • Creation of no-code data queries
  • Support for importing all sizes and ranges of data
  • Data highlighting and filtering

8. What are the benefits of Tableau?

Candidates are likely to encounter this most common Tableau interview question referring to direct advantages of Tableau. The prominent benefits of Tableau include,

  • Speed
  • Increasing market share and popularity
  • Ease of use without programming or technical knowledge
  • Ease of publishing and sharing
  • Beautiful and highly interactive dashboard
  • Direct connection

9. What is the Tableau Server?

Tableau Server is the most prominent addition in the Tableau products. It is a communication tool that helps in sharing visualization and data connection information to clients and end-users. It is a crucial requirement for the functionality of Tableau as it addresses the management and execution of various crucial processes. You can find the following components in Tableau Server,

  • Gateway
  • Repository
  • Data Server
  • VizQL Server
  • Backgrounder
  • Data engine
  • Application server
  • Search and License

10. What are the Filters in Tableau?

This is also one of the frequently asked Tableau interview questions that candidates can come across. Tableau filters provide a reliable mechanism for restricting certain content of data from entering a Tableau dashboard, view, or workbook. The various types of Tableau filters include extract filters, data source filers, table calculation filter, context filters, filters on dimensions, and filters on measures.

Tableau Scenario-based Interview Questions and Answers

Tableau is one of the top data visualization tools so you shouldn’t expect straight questions in your Tableau interview. You may get a number of scenario-based Tableau interview questions. So, check out the questions below to prepare yourself for your interview.

11. What is the importance of Context Filters?

Candidates should expect this entry among the latest Tableau interview questions for testing practical knowledge. Context filters are essential for applying context to specific data subject to analysis. With the application of a context, users can set a perspective that enables the visualization of graphs and charts.

Also Read: What is Data Visualization?

12. What are the specific Field Operations you can perform on Tableau?

This is also one of the Tableau practical interview questions that candidates should prepare for successfully qualifying the interview. Fields are one of the crucial aspects of data management and analysis in Tableau. Tableau supports the following operations on data fields.

  • Combination of two or more fields
  • Grouping multiple fields
  • Addition of new files to a worksheet
  • Searching for existing fields
  • Creation of a calculated field
  • Development of parameters from fields
  • Renaming and reordering fields
  • Creation of a set of two fields

13. Define Quick Sorting in Tableau.

It is important for candidates to prepare for this entry among practical Tableau interview questions. Tableau provides the functionality of Quick Sort for instantly sorting data through visualization by clicking on a sort button. One-click on the Quick Sort icon arranges the data in ascending order, two clicks enable the descending sorting, and three clicks enable an applied sort.

14. What is a Tableau Worksheet?

The Tableau worksheet is one of the basic components of working with Tableau. It is a single view sheet containing various visualizations. It contains different elements such as filters, Data and Analytics pane, shelves, Show Me menu, cards, and legends. In addition, users can also find a blank area on the Tableau worksheet for creating visualizations. You can use one or multiple Tableau worksheets for the creation of workbooks, stories, and dashboards.

15. What are the possible ways to connect to a data source in Tableau?

This is one of the most common Tableau interview questions that candidates can expect in an actual interview. It is possible to connect to a Tableau data source in two significant ways. One is through a live connection, and the other method involves the creation of an extract from a data source.

In the case of a live connection, users can connect directly to a data source through a connector. Therefore, live connections are similar to online connections. On the other hand, the creation of an extract involves taking data offline and storing it in Tableau memory.

16. What are Groups and Sets in Tableau?

Candidates should also prepare for these types of latest Tableau interview questions for testing practical knowledge of Tableau. Groups are the set of dimensions grouped together for the creation of a category. For example, analysis of scores for different matches can involve a group “Matches” containing all the matches for a specific player. Sets are basically the subset of data developed in accordance with a set of specific criteria or conditions. Sets can serve a helpful purpose in analysis after creation.

17. What are some of the formatting operations you can perform on Tableau?

This is also one of the practical Tableau interview questions that you would come across. The formatting options on charts and graphs in Tableau are one of the foremost reasons for its notable popularity. The formatting options on Tableau provide considerable flexibility for creating visualizations according to the user’s preference and requirements.

18. What is the hierarchy in Tableau?

In use cases involving work with large volumes of data, the possibilities of faults in the organization of data increase prominently. Tableau provides the facility of creating hierarchies to ensure proper organization of data. The interesting factor is that hierarchies are in-built into user data on Tableau, enabling easier management, organization, and tracking of data.

19. What do you mean by aggregation and disaggregation of data in Tableau?

Candidates should also prepare for such Tableau interview questions on real-time applications of Tableau. Aggregation of data on Tableau is the process of creating a summary of the data for obtaining a single numeric value. The example of the sum/average salary for each employee indicates the aggregation of data.

On the other hand, disaggregation of data in Tableau is the process of emphasizing on each transaction for analysis of all measures independently as well as dependently. The example of estimates of individual salary transactions for each employee indicates disaggregation of data.

Tableau is one of the top data visualization tools. Check out the list of top Data Visualization tools to know about the other options.

20. What are the important components of the Tableau Dashboard?

The Tableau dashboard is one of the prominent topics for the best Tableau interview questions. The dashboard contains five components as follows,

  • Web page embedded in the dashboard
  • Vertical layout container for adding objects
  • Horizontal layout container for adding objects
  • A small WordPad for formatting and editing text
  • Image Extract for uploading images to dashboard from the computer

Tableau Interview Questions for Experienced

If you have gained some significant years of experience in using Tableau for data visualization, then the interviewer may test your knowledge at different levels with some difficult questions. So, here we cover some of the frequently asked Tableu interview questions for experienced candidates.

21. What are the proven ways for improving the performance of Tableau?

This is one of the most common Tableau interview questions that you may come across in interviews for experienced Tableau-based roles. The notable ways for improving the performance of Tableau include the following,

  • Hiding unused field
  • Reduction of the scope of data for decreasing data volume
  • Focus on using integers or Booleans in calculations in place of strings
  • Using an Extract for faster operation of workbooks
  • Removal of unnecessary sheets and calculations
  • Reduction of filter usage and alternative approaches for achieving similar results
  • Utilizing context filters
  • Reduction in the number of marks on the view for avoiding information overload
  • Utilize indexing in tables and using same fields for filtering

22. What are the Charts you should avoid using on Tableau unless there’s a valid reason?

Candidates could come across such experience-based Tableau interview questions. Users should avoid using 3D charts, Donut charts, and pie charts on Tableau. 3D charts could skew the visual representation of numbers, thereby creating difficulties in comparison and analysis of data. Donut charts and pie charts cannot provide the level of accuracy as bar charts. The areas and angles in pie charts and arc lengths in donut charts create complexities for comparison of data.

23. How can you ensure optimization of the Dashboard Performance in Tableau?

This is also one of the important Tableau practical interview questions that candidates should prepare for. The recommended best practices for improving the performance of the Tableau dashboard are as follows,

  • Reducing the number of records and fields
  • Reducing the marks or data points in the view
  • Using include filter and continuous data filter
  • Reduction of the number of nested calculations
  • Cleaning up your workbooks
  • Removal of custom SQL
  • Reducing the number of filters
  • Using action filters and parameters

24. What are the critical challenges in working with massive volumes of data on Tableau?

The noticeable challenges in working with massive volumes of data on Tableau are as follows,

  • Data extraction
  • Data testing
  • Slow running of View
  • Data alignment issues

25. What is a Level of Detail (LOD) expression in Tableau?

Candidates could also find this entry among Tableau interview questions for experienced professionals. The Level of Detail (LOD) expression in Tableau helps in running complex queries that involve different dimensions at the data source level rather than bringing all the data to Tableau interface.

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Are You Ready for Your Tableau Interview?

Now, you can clearly notice the level of difficulty and comprehension in Tableau interview questions. The best practice to ensure your success is to start your preparations for the job interview before looking for jobs. You can use the above-mentioned questions to create the foundation for your preparation. Candidates can also depend on user groups and other sources of advanced Tableau interview questions to improve their command over Tableau.

On the other hand, comprehensive training in Tableau concepts and hands-on experience could also improve your capabilities for clearing interviews. Most important of all, certifications on Tableau can establish your identity as a Tableau expert while widening your knowledge of Tableau. If you are going for a Tableau interview as a fresher, we’ll recommend you to have some basic knowledge with our Tableau Fundamentals training course.

Learn the fundamentals of Tableau and start your preparations right now by exploring different Tableau interview questions!

About Amit Verma

Amit is an impassioned technology writer. He always inspires technologists with his innovative thinking and practical approach. A go-to personality for every Technical problem, no doubt, the chief problem-solver!
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