Tableau Advanced Interview Questions

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If you're looking for Tableau Advanced Interview Questions for Experienced or Freshers, you are in right place. There are a lot of opportunities from many reputed companies in the world. According to research Tableau Advanced has a market share of about 17.0%. So, You still have the opportunity to move ahead in your career in Tableau Analytics. Mindmajix offers Tableau Advanced Interview Questions 2024 that helps you in cracking your interview & acquire dream career as Tableau Developer.

Best Tableau Advanced Interview Questions

1. State the difference between .twbx and .twb extensions.

A .twbx happens to be a zipped archive that contains a .twb as well as any external files like the extracts or the background images.

On the other hand, a .twb happens to be an XML document containing all selections as well as layouts that are made to have the Tableau workbook. No other data is provided here.

2. What is Tableau? Define it in brief.

Tableau happens to be business intelligence software that gives allowance to anyone and everyone. By using Tableau, you will be able to get connected to the respective data and even create and visualize the interactive and shareable dashboards according to your requirements.

3. Can you briefly state the Tableau Products?

Stating the Tableau Products in brief, the list is as follows.

  • Tableau Desktop
  • Tableau Online
  • Tableau Server
  • Tableau Public, and
  • Tableau Reader
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4. Define Tableau Products.

The Tableau Product family consists of a wide range of products. Below mentioned is a complete list of it. Stating the definition in brief, the list is as follows:

  • Tableau Desktop: It happens to be a data visualization self-service business analytics. Anyone can use it. It is capable of transferring data pictures into the optimized form.
  • Tableau Server: It is a kind of Tableau software based on the enterprise level. With the Tableau Desktop, you will be capable of publishing dashboards and can even share them throughout the particular organization(s) with a specific web-oriented Tableau Server.
  • Tableau Online: The hosted version of the Tableau Server is known as Tableau Online. It helps in enhancing business intelligence in a faster and more seamless way. It makes work faster and simpler than you ever thought before.
  • Tableau Reader: Tableau Reader happens to be an application that comes absolutely free of cost on any desktop. It helps users in opening and viewing the visualizations built in Tableau Desktop.
  • Tableau Public: Tableau Public comes free of cost and is similar to Tableau Reader. The only difference is you will have to save your workbook or the worksheets in Tableau Server that might get viewed by anyone and everyone.

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5. State the difference between Tableau Reader and Tableau online by defining them in brief.

Tableau reader is nothing but an application for the desktop which comes absolutely free of cost. It enables customers to view the visualizations built in the Tableau Desktop by opening it seamlessly. Users can even filter and drill down the data. However, you cannot perform or edit any type of interaction.

On the contrary, Tableau online is just the hosted version of the Tableau server. Talking about the Tableau server, it is enterprise-oriented Tableau Software. Here, you will be able to publish the dashboards with the Tableau Desktop and even store them. Tableau online is just the hosted version of it.

6. What exactly is meant by the term ‘Dimensions’?

Talking about the term ‘Dimensions', these are nothing but the descriptive attribute values for the various dimensions of every attribute. Dimensions are capable of defining a wide range of characteristics. Having the reference to a specific product key form, a dimension table is able to be consisted of product type, size, name, description as well as colors, apart from other attributes.

7. What do you mean by ‘Measures’?

The term ‘Measures’ clearly defines the numeric metrics or the measurable quantities of the data that can clearly be analyzed by the dimension table. Talking about measures, they are stored in a particular table that contains foreign keys that refer to those associated dimension tables outstandingly.

The table associated with it is capable enough of supporting the data storage at the automatic level. Thus, it also gives the allowance for more number of records to get inserted at a time. Instantly, for example, a particular Sales table might have the product key, promotion key, customer key, and the sold items that closely refer to a particular event.

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8. What do you mean by the term ‘Data Visualization’?

An enhanced and advanced way of viewing large volumes of data is safely defined as data visualization. It is a direct and precise way. Data visualization happens to be the visual representation of data in some particular form. That being said, the types are charts and graphs, and especially when you are unable to define them in text format.

You have the license to show the patterns, trends, as well as correlations through multiple data visualization tools and software. One of the best data visualization software is Tableau which is used by various businesses.

9. Briefly define the term Tableau Server.

Tableau Server is the enterprise-level Tableau software by which users will be able to publish the dashboards with the help of Tableau Desktop. Users can also share them accordingly throughout the organization with the web-oriented Tableau server. This is capable of leveraging faster databases through active connections.

10. Explain the term Context Filter in brief.

The concept of the context filter in Tableau is able to make the procedure of filtering in a smooth and straightforward way. It also establishes a hierarchy filtering where other filters that are present can refer to the individual context filer for the subsequent operations. The other filters process data that are passed via the context filter.

If you create one more context filter, then you would be to improve the performance. Users are not needed for building extra filters on the large data sources. Users can create context filters just by dragging a particular field in the ‘Filters’ bar. Then users need to right-click and select the ‘add to context’ option.

11. What do you mean by Tableau Data Server?

The tableau data server is the mode between users of Tableau and the data. It acts as the middleman. The data server is capable of allowing uploading and even sharing the extracts. It also preserves the database connection and reuses the calculation as well as field metadata. Any modifications that the user makes in the data-set or the parameters (other definitions, calculated field, and alliances), the data server of tableau will save and share them with others. Thus,

it also allows secure and managed dataset. In addition to this, users can also leverage the server’s resources in order to run the queries on the extracts without transferring them to the local device.

12. What do you mean by Tableau Desktop?

Tableau Desktop is one of the multiple Tableau products. It happens to be a self-orientated service business analytics which also acts like data visualization. It also helps in translating data pictures and enhances it with the optimized format. Tableau Desktop will give you a direct connection to the data from any of your data. Also, you can perform all your queries without even writing a single line of code. With the help of the tableau desktop, you will be able to import your data in the Tableau data engine from various sources. Moreover, you can also integrate them by combining the views in a particular interactive dashboard.

13. What do you mean by groups?

A group (or groups) happens to be a combination of the members' dimensions which will make a higher level of categories. Taking an example, if a user is working with a particular view that is capable only shows average test scores (by major), then the user might wish to obtain a group of certain majors altogether in order to create significant categories.

14. Can you differentiate between Traditional BI Tools and Tableau?

Stating the difference between Traditional BI Tools and Tableau, the point-wise information has been mentioned right below.

  1. The traditional BI tools have the capabilities that Tableau consists of. Apart from that, in the traditional BI tools, you would have to deal with a significant amount of the upfront costs. In this, the cost of software, hardware, or consulting happens to be quite low.
  2. On the contrary, Tableau is capable of providing an easy-to-use UI. It has the best-in-class visual analytic abilities. But it has nothing to do with the data foundation or even plumbing. With an integration of the SQL Server, Tableau is the complete package.

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

In Tableau, aggregation and disaggregation are the modes that are used to develop the scatter plot in order to measure as well as compare data values. As the name suggests, ‘aggregation’ is nothing but the calculated form of a host of values that return the single numeric value. Just, for example, a measure of the value of 1, 3, 5, and 7, can return 1. You may create default aggregations for a specific measure that is not defined for users.

Various aggregations are supported by Tableau for a measure. For example, sum, median, average, count, so on and so forth. On the contrary, disaggregation of the data is referred to the viewing process of each and every data source row when the data is analyzed both dependently as well as independently.

16. What do you mean by the term Tableau Data Engine?

Tableau Data Engine is an outstanding feature in Tableau. It has been designed analytically in order to achieve instant query responses. Moreover, it can also achieve predictive performance and integrate them into the existing data infrastructure in a seamless manner.

It is not limited to the entire data sets loading in the memory. If one is seen working with a large volume of data, it is time-taking to import, create and then sort the data. After which it speeds up eventually. The Tableau data engine is not an in-memory technology. The RAM is hardly used whereas; the data is kept in the disk.

17. How will you create a calculated field in Tableau? Explain in a step-by-step format.

Creating a calculated field in Tableau is very simple. You just need to check out the steps that are mentioned right below.

Step 1: First and foremost, you will have to clock the drop-down to Dimension’s right that is present on the Data panel.
Step 2: Select ‘Create >>Calculated Field’. This will open the calculation editor.
Step 3: Lastly, you will have to name the new field and then create your respective formula.

18. How will users proceed with viewing the underlying SQL Queries in Tableau?

The steps of viewing the underlying SQL Queries in Tableau have been given below. Viewing provides two options.
Option 1: To create a performance record (Visit the workbook that has been established in the Tableau>>Settings and performance>> Performance Recording Help>> Settings and performance >> Stop performance recording)
Option 2: Check the live connection to the data source by checking log.txt and tabprotosrv.txt files.

19. How will you define Schedules and Extracts in the Tableau server?

The first copies or the subdivisions of the real data from sources is called data extracts. The workbooks that use the data extracts (instead of the live DB connections) happen to be faster. This is due to the fact that the extracted data gets imported into the Tableau Engine. After the data extraction, users are capable enough of publishing the workbooks respectively.

This also publishes the Tableau server extracts. Scheduled Refreshes are the task of scheduling for the extraction of data such that they are refreshed automatically when publishing workbooks with data extract are taking place. This removes the republishing burden for the workbook also.

20. What is a parameter in Tableau?

A parameter happens to be a value passed to a program to customize any program for a specific purpose. It can be anything; a range of values or a string of text. It will allow you to provide any value in order to pass Tableau. A parameter will give the allowance to come up with the options or scenarios available in the data.

21. What do you mean by Quick Filters in Tableau? 

There are multiple filter types in Tableau which are actually quick in availability. These filters are availed by using the right-click button on the measure or dimension. These filters are known as Quick filters. They have enough functionality. Also, they are capable enough of solving almost all common filtering requirements.

22. How will you use the group in the calculated field?

You can use the group in the calculated field by proceeding with the below-mentioned steps. Read on.

Step 1: In the Data pane, you will have to right-click the group option. Choose the ‘Create Set’ option.
Step 2: After selecting the ‘Create Set’ dialog box, you will have to click OK.

23. Is Tableau for MacOS available?

The answer is yes, Tableau for MacOS is available but only if you have an active Tableau Desktop license. You will have to install the Tableau Desktop licenses on a minimum of two devices. Install one on Windows device and the other on your macOS device. The files that are created on a Windows device will work seamlessly on the Mac device as well.

24. How will you be able to create stories in Tableau?

Read the below-provided steps in order to know the procedure of creating stories in Tableau.

Step 1: First off, click the ‘New Story’ button.
Step 2: On the left-hand side of the story panel, drag the‘ Sales in the South’ worksheet.
Step 3: Add a caption by editing the text.
Step 4: In the story panel, choose ‘Blank’.
Step 5: Right-click the Burlington, choose Annotate >> Mark, click OK.
Step 6: Double-click the Story 1tab.
Step 7: Review your story by pressing Window >> Presentation mode.

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Last updated: 03 Jan 2024
About Author

As a Senior Writer for Mindmajix, Saikumar has a great understanding of today’s data-driven environment, which includes key aspects such as Business Intelligence and data management. He manages the task of creating great content in the areas of Programming, Microsoft Power BI, Tableau, Oracle BI, Cognos, and Alteryx. Connect with him on LinkedIn and Twitter.

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