top of page


Tableau Interview Questions and Expert Tricks is a comprehensive resource designed to help you ace your next Tableau interview. We cover questions related to Tableau topics such as data visualization, analytics, Tableau fundamentals, and more. Our experts provide tricks and tips that can help you stand out in your interview and give you an edge over the competition.

Whether you are a beginner or an experienced Tableau user, this resource has something for everyone. Dive into our collection of Tableau interview questions and expert tricks to get the job you’ve always wanted.

List of interview questions that you may encounter during a Tableau interview:


What is Tableau and how does it work?

Tableau is an interactive data visualization platform that helps you explore your data in an easy and intuitive way. With Tableau, you can connect to a variety of data sources, build interactive visualizations, and create reports and dashboards that can be shared with others. Tableau simplifies complex data analysis and enables you to quickly understand and uncover insights. Whether you’re a business analyst, data scientist, or just starting out with data, Tableau provides the tools you need to make data-driven decisions.


What are the different versions of Tableau and their key features?

Tableau is a powerful analytics platform that helps organizations make sense of their data. It provides users with a variety of tools and features to explore and visualize data, create interactive dashboards, collaborate in the cloud, and more.

Tableau is available in multiple versions to fit your organization's needs. Whether you're a small business or an enterprise-level organization, Tableau has a product that can help you better understand and communicate your data. Each version includes different features and capabilities, so make sure to explore the options and select the one that fits your organization's requirements.


Explain the Tableau architecture and components.

Tableau is a powerful data visualization and business intelligence tool that allows users to analyze and present data in an interactive and intuitive manner. The Tableau architecture consists of several components that work together to facilitate data exploration, analysis, and reporting. Here are the key components of the Tableau architecture:

Tableau Desktop: This is the primary authoring tool where users create visualizations, design dashboards, and perform data analysis. Tableau Desktop provides a rich set of features and an intuitive drag-and-drop interface to connect to various data sources, prepare data, and build interactive visualizations.

Tableau Server: Tableau Server is a web-based platform that allows users to publish, share, and collaborate on Tableau content. It acts as a central repository for dashboards, workbooks, and data sources created in Tableau Desktop. Tableau Server enables users to access visualizations through web browsers or mobile devices and provides security, governance, and scalability features.

Tableau Online: Similar to Tableau Server, Tableau Online is a cloud-based platform that provides the same functionality as Tableau Server. It allows users to publish and share Tableau content in the cloud without the need for infrastructure management. Tableau Online is particularly useful for organizations that prefer a hosted solution or want to collaborate with users outside their network.

Tableau Prep: Tableau Prep is a data preparation tool that helps users clean, shape, and transform their data before visualization. It provides a visual interface for data profiling, combining data from multiple sources, performing calculations, and resolving data quality issues. Tableau Prep allows users to streamline and automate the data preparation process, making it easier to work with complex datasets.

Tableau Mobile: Tableau Mobile is a mobile application that allows users to access and interact with Tableau visualizations on smartphones and tablets. It provides a responsive and touch-friendly interface, enabling users to view and explore data on the go. Tableau Mobile supports offline access to visualizations, allowing users to access their data even when they are not connected to the internet.

Tableau Data Server: Tableau Data Server is a component that facilitates centralized data management and sharing across multiple workbooks and users. It allows users to publish data sources to Tableau Server or Tableau Online, making them available for reuse in multiple workbooks. Data Server ensures data consistency and provides a single source of truth for shared data, reducing duplication and improving data governance.

Tableau Extracts: Tableau extracts are optimized data files created by Tableau to improve performance and enable fast querying and analysis. Tableau can extract data from various sources and store it in a highly compressed and columnar format, allowing for efficient filtering, aggregations, and calculations. Extracts can be refreshed to reflect changes in the underlying data sources.

Tableau Connectors: Tableau offers a wide range of connectors to connect to different data sources, including databases, spreadsheets, cloud services, and big data platforms. These connectors provide seamless integration with external data sources, allowing users to access and analyze data in real-time or through extracts.

Overall, the Tableau architecture provides a comprehensive ecosystem for data visualization and analysis, enabling users to transform raw data into meaningful insights and share them with others in a collaborative and secure environment.


What is a data source in Tableau? How can you connect to different data sources?

In Tableau, a data source refers to the location or file that contains the data you want to analyze and visualize. It could be a database, spreadsheet, text file, cloud-based storage, or any other structured or semi-structured data repository.

Tableau provides various methods to connect to different data sources. Here are some common ways to establish a connection:

  1. Connect to a file: Tableau allows you to connect directly to files such as Excel spreadsheets, CSV files, or text files. You can use the "Connect" pane in Tableau and select the appropriate file type to establish a connection.

  2. Connect to a database: Tableau supports a wide range of databases, including SQL Server, MySQL, Oracle, PostgreSQL, and more. To connect to a database, you need to provide the necessary connection details like server name, credentials, and database name. Tableau provides a simple interface to establish these connections.

  3. Connect to a server: Tableau can connect to server-based data sources such as Tableau Server, Tableau Online, or other data servers. This allows you to access and analyze data that resides on these servers, making it easier to collaborate and share visualizations.

  4. Connect to cloud-based sources: Tableau supports connecting to cloud-based data sources like Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and others. You can authenticate and establish a connection to these sources by providing the necessary credentials and access details.

  5. Connect to web data connectors: Tableau allows you to connect to web data connectors (WDCs) to fetch data from various online sources. WDCs are connectors specifically built to extract data from websites, APIs, or other web-based sources.

  6. Connect to other applications: Tableau integrates with other applications such as Salesforce, Google Analytics, Microsoft Excel, and more. By connecting to these applications, you can directly import and analyze data from these sources.

When connecting to a data source, Tableau provides a data connection wizard that guides you through the process. It prompts you to select the appropriate connection type and provides options to specify connection details, credentials, and customization options based on the specific data source.

What is a dimension and a measure in Tableau? How do you create a calculated field in Tableau? What are the different types of filters in Tableau? What is the difference between a Quick Filter and a Context Filter in Tableau? How do you create a dashboard in Tableau? What is data blending in Tableau and when would you use it? How can you perform data blending with multiple data sources in Tableau? What are the different types of charts and graphs available in Tableau? Explain the concept of Tableau Parameters. How can you optimize performance in Tableau? What are Tableau Actions and how can you use them in a dashboard? How do you perform data aggregation and disaggregation in Tableau? Can you explain Tableau's Level of Detail (LOD) expressions? What is the difference between a discrete and a continuous field in Tableau? How can you handle missing values in Tableau? What are Tableau Sets and how can you use them? How can you create a calculated field based on a specific condition in Tableau? Explain the concept of data blending and data joining in Tableau. What are the different types of charts you can create in Tableau to analyze time series data? How can you create a hierarchy in Tableau? How does Tableau handle big data? What are the limitations? Remember to review these questions and prepare thoughtful answers based on your knowledge and experience with Tableau. Additionally, it's always a good idea to practice using Tableau and work on sample projects to reinforce your skills before an interview. Good luck!

Subscribe Form

Thanks for subscribing!

bottom of page