Introduction

Data is the market currency that allows intelligent decisions based on granular data. Tableau, which facilitates interactive, data-based visualization, is among the most potent data interpretation methods in the business context. For IT professionals specialized in Tableau, the market continues to focus on data-centered business processes.

Below is a list of Tableau interview questions that job-seekers must go through before appearing for a Data Science job interview. Reviewing these Tableau interview questions and answers will help you plan for your desired future.

Table of Contents

  1. What type of data does Tableau support?
  2. What is the comparison between QlikView and Tableau?
  3. What is the difference between context filters and other filters?
  4. What is the drawback of Context Filters?
  5. What are Tableau’s five most significant products?
  6. Why choose Tableau?
  7. What are Filters? What different kinds of Filters does Tableau provide?
  8. How can the All Display option be removed from the Auto Filter Tableau?
  9. What is the advantage over the live connection in the Tableau Extract file?
  10. What is Data Blending? What are the rules to perform Data Blending?
  11. What is Tableau?
  12. What is a blended axis?
  13. What distinguishes Tableau?
  14. How does Tableau vary with other conventional BI tools?
  15. What are the similarities and differences between Tableau and Palantir?
  16. What does Tableau do?
  17. What is Tableau Public?
  18. What is Data Modeling?
  19. How do you view a SQL generated by Tableau Desktop?
  20. What are the differences between Tableau, GoodData, and the other traditional BI tools?

List of Tableau interview questions with answers –

1. What type of data does Tableau support?

Tableau supports the following data types:

  • Text (string) values
  • Date values
  • Date & time values
  • Numerical values
  • Boolean values (relational only)
  • Geographical values (used with maps)

2. What is the comparison between QlikView and Tableau?

3. What is the difference between context filters and other filters?

  • Whenever we create a context filter, Tableau creates a temporary table for this specific filter set whenever we create a context filter and applies other filters like cascade parameters on Context Filter data.
  • Suppose we have built a context filter for the United States and India, Tableau will set a temporary table for the two countries’ data. If we do not have a context filter, each record will verify all the filters, where any other filters are added to these two countries’ data.

4. What is the drawback of Context Filters?

  • The user should not often adjust the Background Filter — the database needs to be republished if the filter is updated and the temporary table must be reprocessed and slowed down.
  • Tableau generates a temporary table to reload each time the view starts when we set a dimension in context. The temporary table created is in the Access table format for Excel, Access, and text data sources. We must receive permission to build a temporary table on our server for SQL Server, MySQL, and Oracle sources. Temporary tables are not generated for a multidimensional data source or cubes, and context filters merely define which filters are independent and dependent.

5. What are Tableau’s five most significant products?

Tableau provides the following five main products:

  • Tableau Desktop
  • Tableau Server
  • Tableau Online
  • Tableau Reader
  • Tableau Public

6. Why choose Tableau?

We can analyze our data with Tableau in an on-site database, a database, a data storage system, a Cloud app, or an Excel file. We can build insights into the data and communicate it with colleagues, clients, and partners. Tableau can merge it with other data and automatically hold our data up to date.

7. What are Filters? What different kinds of Filters does Tableau provide?

A filter limits unnecessary information; it displays the exact data we want. In general, Tableau filters are of three kinds:

  • Quick Filter
  • Context Filter
  • Datasource Filter

8. How can the All Display option be removed from the Auto Filter Tableau?

The answer to this Tableau interview questions is:

 Right-click on Filter > Customize > uncheck the Show All option

9. What is the advantage over the live connection in the Tableau Extract file?

Tableau Extract can be used anywhere without any relation, and without connection to a database, we can construct our visualizations.

10. What is Data Blending? What are the rules to perform Data Blending?

Data Blending combines data from multiple data sources and enables users to analyze one layer. ‘Blending’ means ‘mixing,’ and it’s called blending if we mix the data sources.

There are several guidelines for performing data blending: 

If we combine data from two sources, the two sources should have at least one shared dimension. 

At least one value should be matched in this standard dimension. 

We can mix data in two ways in Tableau. 

Automatic way: Tableau automatically determines, based on the shared dimensions and correspondence values, the relationship between the two sources and is indicated as orange in orange. 

Manual or custom manner: the user must describe the relationship manually in the manual or custom manner.

11. What is Tableau?

Tableau is the platform for Business Intelligence, allowing anyone to quickly access data and then visualize and build immersive and sharable dashboards. It’s simple enough for any Excel user to learn but strong enough to solve even the most challenging analytical issues. It takes only seconds for Tableau to share the data with others securely.

12. What is a blended axis?

Several measures are displayed here on one axis, and all markers are shown in one table.

  • Drag a dimension in a column
  • Drag the first measure in the column
  • Drag the second measure in the existing axis
  • Us/multiplemeasures_blendedaxes.html

13. What distinguishes Tableau?

For a variety of factors, Tableau stands out: 

  • Most BI resources are expensive, but Tableau has a free offer (Public Tableau) and a relatively widespread academic distribution (also free). 
  • Tableau is one of the most user-friendly and agile products currently available by companies such as Forrester Research. 
  • On the other side, Tableau, as opposed to some of the other BI instruments, is not an entire technical deck. In addition to Tableau, we need different products for heavier company ETL data, maintenance, storage, etc.

14. How does Tableau vary with other conventional BI tools?

Tableau offers visual analytical capability easy to use, best in class but does not allow plunging (data foundation). For example, to get the complete package, we could marry SQL Server with Tableau. If we want to scale, the Tableau licenses are comparatively costly. 

All but significant upfront costs, increased consultation, hardware, and software costs are dealt with by conventional BI. Only Microsoft can deliver a fair value proposition among the mega-sellers. There are still not plenty of open-source providers, such as Pentaho and Jaspersoft.

15. What are the similarities and differences between Tableau and Palantir?

Tableau and Palantir are somewhat different. Palantir has its origins in Big Data, Computer Science protection issues, payments, identification of fraud, and the like. Paypal, CIA, and others are its clients/investors. Tableau is a show player with Stanford Research University origins. The Visual Query Language (VizQL) allows users to generate views over regular warehouses or tablets.

16. What does Tableau do?

The main objective of Tableau is to make people understand and see the data. Its software products offer the power of data to ordinary people so that a wide variety of corporate users can use their knowledge, ask questions, fix issues, and build values.

17. What is Tableau Public?

Tableau Public is a free service that allows anyone to publish interactive web-based information. Once on the web, anyone can connect, download, or create their own displays for the data. There is no need for programming. We can also see some of the things that people did with the gallery.

18. What is Data Modeling?

Data modeling involves analyzing and recognizing the relationships between data objects used in a business or other context. The first phase in object-based programming is data modeling.

19. How do you view a SQL generated by Tableau Desktop?

C: UsersMyDocumentsMy Tableau repository includes Tableau desktop files. We need to search the log.txt and tabprotosrv.txt files if we have a direct link to a source. When we use Extract, the tdeserver.txt file must be verified. Often detailed query information is shown in the tabprotosrv.txt file.

20. What are the differences between Tableau, GoodData, and the other traditional BI tools?

We may speak about their characteristics and functionalities for hours, but four principal differences exist to a greater extent:

  • Speed: How easily can we get the system up and running, answer questions, design and exchange dashboards, and change them? Tools such as Tableau and GoodData are more potent than old-school Business Intelligence instruments such as BusinessObjects or Cognos. It took months or years to introduce conventional programs, costing millions of dollars. Tableau has a free trial version set up in minutes, and GoodData is cloud-based, which ensures that they can be used faster by magnitude orders. They also deliver results quicker: conventional BI allows information technology and developers to make some improvements to reports so that business people often wait in a queue to do whatever they are doing. Tableau and GoodData have a more incredible experience of self-service.
  • Analysis: Tableau stands out here. It has a strong and versatile Stanford technology-based drag and drops visualization engine. GoodData and conventional BI tools typically supply some canned reports, but they take considerable time and money to modify.
  • Data layer: GoodData demands that we move our data to its cloud. In general, conventional BI allows our data to move to its warehouse. On the other hand, Tableau interacts with several existing data sources and provides a fast input data engine, effectively a local database. As most businesses store their data on the entire web, this makes it an easy option and enables companies to use their investments.
  • Enterprise readiness: Traditional BI and Tableau are successful here, with a high degree of corporate protection and scalability.

Conclusion

Before you even start searching for a job is the best time to prepare for that all-important Tableau interview. You will set the conditions for a better interview by being more willing to participate in user groups, publishing your work, and carrying out other activities proposed in this Tableau interview questions article. 


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