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Table of contents
1.
Introduction
2.
Basic Tableau Interview Questions
2.1.
1. What is TABLEAU?
2.2.
2. What is data visualization?
2.3.
3. Define LOD Expression?
2.4.
4. Define Heat Map?
2.5.
5. Define TreeMap?
2.6.
6. What is the distinction between a Heat map and Treemap?
2.7.
7. What is a boundary Tableau and how does it work?
2.8.
8. Give a concise about the scene dashboard?
2.9.
9. Define Page Shelf in Tableau?
2.10.
10.  How is the Context Filter not quite the same as different Filters?
3.
Intermediate Tableau Interview Questions
3.1.
11. What impedes Context Filters?
3.2.
12. What are the five primary items presented by Tableau?
3.3.
13. Why should we use Tableau?
3.4.
14. What are the different types of charts available in Tableau?
3.5.
15. How can you perform data aggregation in Tableau?
3.6.
16. What is the Rank Function in Tableau?
3.7.
17. State some ways to improve the performance of Tableau.
3.8.
18. What is Tableau Public?
3.9.
19.  Express the distinction between .twbx and .twb augmentations.
3.10.
20. Characterize Tableau Products.
4.
Advanced Tableau Interview Questions
4.1.
21. Express the contrast between Tableau Reader and Tableau online by characterizing them in a word.
4.2.
22. What precisely is implied by the term 'Aspects'?
4.3.
23. What are the limitations in Tableau?
4.4.
24. What number of max tables could we at any point participate in Tableau?
4.5.
25. How to plan for a Tableau interview?
4.6.
26. What is Lod in Tableau?
4.7.
27. What number of channels are there in Tableau?
4.8.
28. Explain the concept of data blending in Tableau. When and why would we use it?
4.9.
29. Explain the concept of data scaffolding in Tableau and how it can benefit your analysis.
4.10.
30. Describe the process of creating a parameter-driven advanced analytics model in Tableau. 
5.
Frequently Asked Questions
5.1.
How do I prepare for a Tableau interview? 
5.2.
What are the three types of Tableau? 
5.3.
How do you explain a dashboard in a Tableau interview? 
5.4.
How is Tableau used? 
6.
Conclusion
Last Updated: Mar 27, 2024
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Tableau Interview Questions

Author Adya Tiwari
0 upvote

Introduction

Tableau is the primary data visualization instrument for data examination and business insight. Gartner's Magic Quadrant grouped Tableau as an investigation and business knowledge pioneer. Tableau is one more term for a data table, especially: Cryptographic tableau, or tabula recta, utilized in manual code frameworks: division tableau, a table used to do long division. 

This article includes the top Tableau Interview Questions in three levels to help you ace your following interview.

Basic Tableau Interview Questions

1. What is TABLEAU?

Tableau is the strongest and quickest picturing apparatus utilized in the Business Intelligence(BI) Industry. It works on the crude data into a suitable configuration. Investigation of the data turns out to be quicker with Tableau. The visualizations can be made as dashboards. The visualizations or diagrammatic portrayal of data can, without much of a stretch, be perceived by the representatives of the associations at various levels.

2. What is data visualization?

Data visualization implies the graphical portrayal of data or data. We can utilize visual items like diagrams, outlines, bars, etc. Data visualization devices give an open method for seeing and comprehending the data without any problem.

3. Define LOD Expression?

LOD Expression represents Level of Detail Expression and is utilized to run complex inquiries, including many aspects at the data obtaining level.

4. Define Heat Map?

An intensity map is a graphical portrayal of data that utilizes a variety of coding strategies to address various upsides of data. Dim types will be displayed on the guide as the imprints heat up because of their higher worth.

5. Define TreeMap?

TreeMap is a perception that sorts out information progressively and shows them as a bunch of settled square shapes. The size and shades of square shapes are separate from the upsides of the report focuses they project. Parent square shapes will be tiled with their youngster components.

6. What is the distinction between a Heat map and Treemap?

TreeMap addresses the information progressively and shows them as a bunch of settled square shapes. It handles the data graphically, utilizing numerous varieties to address various qualities. It is best suited for large, highly structured to show data contrasting the classifications, types, and sizes and can likewise be used to show the progressive information and part to real connections. 

On the other hand, a Heat map is a two-dimensional(2D) representation of simple and complex data with the help of colors. We primarily use heat maps to analyze consumer purchases pattern and behavior. We can also use heat maps for understanding the intensity of storms in a region, election results in an area, etc  

7. What is a boundary Tableau and how does it work?

Boundaries are dynamic qualities; we can supplant the steady rates in computations.

8. Give a concise about the scene dashboard?

A scene dashboard is a gathering of different perspectives which permits you to, at the same time, look at changed kinds of information. Datasheets and dashboards are associated, assuming any change happens to the information that is straightforwardly reflected in dashboards. It is the most productive way to deal with imagining the report and investigating it.

9. Define Page Shelf in Tableau?

Page rack breaks the perspectives into a progression of pages. It shows a substitute view on each page. Because of this element, you can dissect the impact of each field on the other information in the picture.

10.  How is the Context Filter not quite the same as different Filters?

Whenever we make a Context Filter, Tableau will make a transitory table for this specific Filter set. Different Filters will be applied to the Context Filter data, like outpouring boundaries.

Assume we have made a Context Filter on nations, USA and India. Tableau will create a temporary table for these two nations' data, and if we have some other Filters, others will be applied to these two nations' data on the off chance that we have no Context Filter; each record will check for all Filters.

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Intermediate Tableau Interview Questions

11. What impedes Context Filters?

The client doesn't as often change the Context Filter as possible—if the Filter is changed, the database should be recomputed, and the transitory table must be revamped, easing back execution.

When we set an aspect to setting, Tableau makes a brief table that will require a reload each time the view is started. For Excel, Access, and text data sources, the impermanent table made is in an Access table arrangement. We should have consented to make a transitory table on our waiter for SQL Server, MySQL, and Oracle data sources. For a multi-faceted data source, or blocks, transitory tables are not made, and Context Filters characterize which Filters are free and which are reliant.

12. What are the five primary items presented by Tableau?

Tableau offers five essential items:

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

13. Why should we use Tableau?

There are many motivations to utilize Tableau. Whether our data is in an on-premise database, a database, a data distribution center, a cloud application, or an Excel record, we can break it down with Tableau. We can make perspectives on our data and offer them to associates, clients, and accomplices. We can utilize Tableau to mix it with different data and stay up-to-date.

14. What are the different types of charts available in Tableau?

Tableau provides different types of charts. These charts include:

  • Bar Chart
  • Line Chart
  • Pie Chart
  • Scatter Plot
  • Area Chart
  • Histogram
  • Gantt Chart
  • Bullet Chart
  • Box Plot
  • Packed Bubble Chart
  • Dual-Axis Chart
  • Map Chart
  • Heat Map
  • Tree Map
  • Radar Chart 

15. How can you perform data aggregation in Tableau?

To perform data aggregation in Tableau are:

  • Connect to the data source.
  • Drag dimensions and measures to Columns and Rows.
  • Choose a mark type like bar or line.
  • Group the data using categories or hierarchies.
  • Apply filters for specific data selection.
  • Sort data by measure or dimension.
  • Utilize aggregation functions such as SUM, AVG, etc.
  • Show grand totals or subtotals.
  • Consider Level of Detail (LOD) expressions for advanced aggregation.
  • Create calculated fields for custom aggregations.
  • Use pivot or split for data transformation.
  • Enable drill-down/up for interactive exploration.

16. What is the Rank Function in Tableau?

In Tableau, The Rank function assigns a rank to each data point based on a specified measure. It helps to understand the relative position of data points regarding their values and allows us to identify top performers, lowest values, and gaps in between. This function can help create leaderboards, analyze competitiveness, and spot outliers within your data set.

Learn more, Kotlin Interview Questions

17. State some ways to improve the performance of Tableau.

Some ways to improve Tableau's performance are: 

  • Use Data Extracts
  • Optimize Data Source
  • Filter Data
  • Upgrade Hardware
  • Scheduled Extract Refresh
  • Limit Rows and Columns
  • Use Parameters
  • Optimize Calculations
  • Dashboard Efficiency
  • Avoid Live Connections
  • Tableau Server Configuration

18. What is Tableau Public?

Scene Public is an open-source and free help that permits anybody to distribute the information source and representations to the web. These representations can then be installed into web journals or pages. They can likewise be conveyed through email or virtual entertainment. Additionally, they can be made downloadable by opposite-end clients. For Tableau Public, no programming abilities are required. It tends to be gotten to by anybody liberated from cost.

19.  Express the distinction between .twbx and .twb augmentations.

.twbx is a compressed chronicle that contains a .twb and any outer documents like the concentrates or the foundation pictures.

Then again, a .twb is an XML record containing all determinations and designs made to have the Tableau exercise manual. No different data is given here.

20. Characterize Tableau Products.

The Tableau Product family comprises a great many items. Underneath the reference is a finished rundown of it. Expressing the definition in a word, the rundown is as per the following:

  • Tableau Desktop: It is a data visualization self-administration business examination. Anybody can utilize it. It is fit for moving data pictures into a streamlined structure.
     
  • Tableau Server: It is a sort of Tableau programming in light of the endeavor level. With the Tableau Desktop, you will be equipped for distributing dashboards and could share them all through the specific organization(s) with a particular web-situated Tableau Server.
     
  • Tableau Online: The facilitated form of the Tableau Server is known as Tableau Online. It helps in upgrading business knowledge more quickly and consistently. It makes work faster and less complicated than you at any point thought.
     
  • Tableau Reader: Tableau Reader is an application liberated from cost in any work area. It helps clients in opening and reviewing the visualizations worked in Tableau Desktop.
     
  • Tableau Public: Tableau Public comes liberated from cost and is like Tableau Reader. The main contrast is you should save your exercise manual or the worksheets in Tableau Server that could get seen by everybody.

Advanced Tableau Interview Questions

21. Express the contrast between Tableau Reader and Tableau online by characterizing them in a word.

Tableau peruser is only an application for the work area, which comes liberated from cost. It empowers clients to see the visualizations worked in the Tableau Desktop by opening it flawlessly. Clients could, in fact, channel and drill down the data. Be that as it may, you can't perform or alter any kind of communication.

Running against the norm, Tableau online is only the facilitated variant of the Tableau waiter. Discussing the Tableau waiter, it is undertaking focused Tableau Software. You will want to distribute the dashboards with the Tableau Desktop and store them here. Tableau online is only the facilitated form of it.

22. What precisely is implied by the term 'Aspects'?

Discussing the term 'Aspects,' these are only the apparent quality qualities for the different components of every property. Aspects are fit for characterizing a large number of markers. Having reference to a particular item's essential structure, an aspect table can be comprised of item type, size, name, portrayal, and varieties, aside from different properties.

23. What are the limitations in Tableau?

The Known issues in a tableau are: 

Handling an Unlicensed Server, Handling an Unlicensed VizQL Server Process and Cookie Restriction Error.

24. What number of max tables could we at any point participate in Tableau?

In Tableau, we can join a limit of 32 tables.

 

25. How to plan for a Tableau interview?

Center around the basics and ultimately have some familiarity with Dimensions and Measures since that is one of the significant ideas in Tableau.

26. What is Lod in Tableau?

Level of Detail articulations (LOD articulations) permits you to figure values at the data source and visualization levels.

27. What number of channels are there in Tableau?

There are incomplete six kinds of channels in Tableau, which are,

  • Remove Filters
  • Data Source Filters
  • Setting Filters
  • Aspect Filters
  • Measure Filters
  • Table Filters

28. Explain the concept of data blending in Tableau. When and why would we use it?

Data blending in Tableau is a technique used to combine data from different data sources into a single visualization. This is helpful when your data resides in separate spreadsheets, databases, or files. Data blending is generally used when a single data source cannot provide all the required information for analysis or when we want to maintain a certain level of separation between data sources.

29. Explain the concept of data scaffolding in Tableau and how it can benefit your analysis.

Data scaffolding in Tableau is the ability to create and generate data directly within Tableau using calculations without external data sources. It is a way to "build" data from scratch to fill in gaps or create reference lines. 

30. Describe the process of creating a parameter-driven advanced analytics model in Tableau. 

In Tableau, Creating a parameter-driven advanced analytics model involves utilizing parameters to adjust and drive complex calculations dynamically—an interactive exploration of data scenarios.

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Frequently Asked Questions

How do I prepare for a Tableau interview? 

To prepare for a Tableau interview, Review core concepts like calculations, visualizations, and data connections, practice creating complex dashboards using LOD expressions, and optimize performance. 

What are the three types of Tableau? 

The three types of Tableau are Tableau Desktop for individual use, a Server for collaborative sharing, and an Online for cloud-based accessibility. Each type has different needs, from personal analysis to enterprise-level data distribution and visualization.

How do you explain a dashboard in a Tableau interview? 

In a Tableau interview, a dashboard is a dynamic and interactive visual display of data insights. It combines multiple visualizations and actions to present a comprehensive view. It enables users to explore and derive meaningful conclusions from complex datasets.

How is Tableau used? 

Tableau is used for data visualization and analysis. It transforms raw data into interactive visual insights. Businesses utilize Tableau to uncover trends and patterns, enhancing their understanding of their data and facilitating informed strategies.

Conclusion

In this article, through the multiple Tableau interview questions, we have learned that the act of data visualization is becoming urgent to overcome any barrier between the human and a machine to intervene in scientific understanding helpfully. This instrument has made the whole course of investigating data and scrutinizing your item market fit simpler. It has different in-fabricated highlights for data investigation without getting overpowered by the product components.

Read more - Manual testing interview questions

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