Businesses always try to find an edge in their decision-making. In the modern era, emphasis on data is crucial.
Evaluating raw data is time-consuming and hence ineffective. Today, business intelligence solutions are needed that must process vast amounts of data quickly.
Tableau is a powerful visual analytics platform that transforms how you utilize and analyze data. It filters, streamlines, and simplifies the data into a valuable and informative format in minutes.
The requirement for skilled Tableau analysts and developers is high in today’s economy.
If you are considering becoming a Tableau Analyst/Developer or preparing for the Tableau interview questions, you’ve reached the right place. Here we’ll discuss some of the most asked Tableau interview questions in detail so you can tick off all the boxes of business requirements.
15+ Tableau Interview Questions and Answers That’ll Help Your Prepare for Selection
1. Can You Discuss a Project You Have Completed Using Tableau?
This is a subjective question where the interviewer aims to gauge your personal level of proficiency and expertise in Tableau. You can go on to provide a project you have completed on Tableau Public, which would showcase your ability to distinguish publicly available data.
Your answer must showcase not only your skill level but outline the time period, the resources used, your thought process behind important decisions, etc.
2. How Did You Develop Your Proficiency in Tableau in the Past Year?
The aim of this question is two-fold in the mind of the interviewer. Besides getting to know your precise skill level, they also want to learn your professional disposition or attitude.
- Do you always prioritize learning and personal development in life?
- How well do you manage different aspects of your job?
- What is your attitude toward a learning curve?
3. Can You Mention Different Tableau Products?
- Tableau Server
- Tableau Online
- Tableau Public Server
- Tableau Desktop
- Tableau Public Desktop
- Tableau Reader
- Tableau Mobile
- Tableau Prep Builder
4. What Are the Advantages and Features of Tableau?
Do you know the features that set Tableau apart from its competitors?
- Performance
Tableau has the advantage of staying quick while handling vast bulks of data. This feature sets it apart from other business intelligence solutions today.
- Ease-of-use
Tableau is enriched with a lot of drag-and-drop functionalities as well as functions that read similarly to everyday language.
- Diverse source connectors
Tableau can source huge volumes of data from Microsoft Excel, Text File, Microsoft Access, JSON File, PDF File, Spatial File, Statistical File, etc.
- Easy publishing and sharing
Not only does Tableau help analyze a lot of data, but it also makes the presentation simple, effective, and visually engaging.
- Growing popularity
Because of Tableau’s high functionality, many businesses find it essential to make important Business Decisions.
- Beautiful and interactive dashboard
Tableau has a state-of-the-art user interface and an engaging and functional dashboard.
- Great security
Tableau ensures that the data is handled securely.
- Automatic updates
Tableau is actively being worked on, and users enjoy regular and quality updates on the software.
- State-of-the-art visual output
Tableau has the distinct advantage of processing the data in the most informative and relevant way possible. The outputs range from simple pie charts to motion charts and treemaps. The graphs can be multi-dimensional in analyzing and comparing data.
5. What Is the Use of Dual-axis and How Will You Create One?
Dual-axis is the presentation of two different sets of data based on different dimensions in the form of a single visual representation. It is helpful to compare two measures having different scales.
To create a dual axis, click right on the second pill of the measures and select dual axis.
6. What Data Types Are Supported in Tableau?
- Text (string) values, such as “US”
- Date, such as 08/07/2022
- Numerical values, such as 430
- Date and time values
- Boolean values, i.e., True or False
- Geographical values (used with maps)
- Cluster Group
7. Differentiate Between Tableau and Other BI Tools?
| Tableau | Traditional BI Tools |
| Tableau offers a cloud option where hardware limitations can be overcome easily | These tools’ architectures have hardware limitations |
| Built on Associative Search that makes it fast and dynamic | They typically perform worse than Tableau |
| A wide variety of data visualization is offered in response to -natural queries and questions | Data visualization in other BI software may not be as intuitive as in Tableau |
8. What Is Tableau Server? And What Are Its Components?
Tableau Server is a communication tool that plays a critical role in the working of Tableau. It allows one to host and manage reports, information, etc.
Components:
- Gateway
- Repository
- Data engine
- Data Server
- VizQL Server
- Backgrounder
- Application Server
- Search and License
9. What Are Sets and Groups?
Sets are a collection of data that are created on the basis of specific criteria or conditions. Once created, we can utilize them in analysis. A set can have data according to a condition, like a sales value higher than 50,000.
Groups are a collection of single-dimension elements brought together to create a category. For instance, if we have to analyze test scores for different majors, we have to create a group, for instance, called ‘Major’, that will include all the majors for a test.
10. Explain the Tableau Design Flow
Here’s Tableau’s logic or design flow:
- Connecting to the data source using connectors available in Tableau.
- Creating data views – means charts, graphs, etc. – for visualization.
- Improving the data views through advanced Tableau methods.
- Creating different worksheets for different data views from the same or different data.
- Creating dashboards to organize relevant and different data views in a single view for better reporting.
- Crafting stories to explain the data language better using workbooks or dashboards.
11. Differentiate Between Joining and Blending
Joining: When data from the same source are combined, even if it is from different worksheets, it’s called joining. All the combined sheets and tables hence have a common set of measures and dimensions.
Blending: When the data from two or more different sources are combined, it is called data blending, like Excel, Oracle, and SQL Server. Every data source has its own sets of measures and dimensions in data blending.
12. How Can You Create a .tde File in Tableau?
Navigate the Data tab located on the top left of the toolbar. Choose a data source and afterward click on Extract.
Now, either click on Extract or select fields from the data source to create a .tde file.
13. What Is a Calculated Field, and How Will You Create One?
A calculated field plays a critical role in Tableau. Calculated fields are used to create new modified fields from existing data in the data source. It doesn’t affect the original dataset and creates more robust visualizations.
To create a calculated field, we need to:
- Navigate the Data pane and right-click on a dimension.
- Select Create from a drop-down menu and then choose the Calculated field.
- Now, a small window will appear from where we can adjust parameters to create a calculated field and name it.
14. What Is The Difference Between Heat Maps and Treemaps?
Heat Map
A heat map is utilized to compare categories using size and color. As the density of a particular element is increased, so does the intensity of the color in the visual representation.
Treemap
A treemap is utilized to show hierarchical data. The view space is divided into rectangles that are ordered and sized by a measure.
The greater the density of a particular data element, the greater the relative volume of the same is in the visual representation as the treemap.
15. Differentiate Between .twb and .twbx
This is one of the most asked Tableau interview questions; it’s a must you prepare the answer in detail.
.twb
The .twb has instructions related to how to interact with data sources. While building a visualization, Tableau will check the data source and create the visualization with an extract.
Since it only contains instructions, it can’t be shared alone, and we need to attach data sources separately.
.twbx
The .twbx has all of the critical information related to building the visualization along with the data source – and this is known as a packaged workbook.
It’s often used for sharing with someone who doesn’t have access to the original data source.
How to Master Tableau Software?
Proper guidance is needed to achieve expertise in any skill.
At the Ohio Computer Academy, we drive education through experience and focus on real-world problem-solving that is valued in the contemporary IT industry. Know more about our Tableau certification program.
We have a team of professionals who will give you notes and theoretical and practical knowledge, as well as educate you on soft skills such as cracking an interview with excellence. Our experts base the teachings on the latest industry standards so you can meet the contemporary expectations of employers and emerge as a job-ready candidate dream company.
For further reading, here is our Guide to Mastering Tableau.