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By BhavikPublished 2 years ago 8 min read


Tableau is one highly recommended Data Visualization tool in Data Science today. It enables interactive dashboards and thus facilitates generating important insights from the data collected. Gradually the need for data-centric business professionals continues increasing, the demand for expert Tableau professionals growing simultaneously. To get into one of these demanding fields, cracking fierce tableau interview questions is a paramount need. In this blog, we cover some important questions of tableau that facilitate interview preparation.

What do you understand from Tableau?

Tableau is a visual data analytics platform, which transforms the way we use data to solve complex problems. It empowers people and organizations to make the most of desired of their data for business planning. Overall, it is a tool that helps make Big Data small and small data insightful and thoughtful.

How Tableau was founded?

Tableau was founded by Chris Stolte, Pat Hanrahan, and Christian Chabot in 2003 as a result of a computer science project. It was aimed to improve the flow of analysis and make data more accessible to people through visualization

What are the key features of Tableau?

· Tableau is independent software that works freely in the system

· It is based on an associative search process which makes it more powerful and fast

· It also supports in enlargement of memory when used with advanced technologies

· It provides advanced visualizations through different types of graphs and charts and thus facilitates predictive analysis as well

· Tableau allows real-time analysis of data and this data can be updated automatically on the server

· The collaboration of data through various platforms is possible with Tableau

What are the different products of Tableau?

· Tableau Desktop

· Tableau Online

· Tableau Public

· Tableau Server

· Tableau Reader

What is Tableau Desktop?

Tableau Desktop is a unique survives which provides auto business analytics and data visualization facility. The service can be used by anyone using the desktop. It translates data into visually optimized queries. Tableau desktop directly connect your data from the data warehouse to date data analysis. The easy interface facilitates you to perform queries without writing a single line of code.

What is Tableau Server?

Tableau Server is an enterprise-level product where you can publish your dashboards through Tableau Desktop. The web-based Tableau server can help to share the data or information with the whole organization through live connections on the internet

What do you understand from Tableau Online?

It is a host version of the Tableau server that helps to make business intelligence faster and smoother than before. You can publish Tableau dashboards with Tableau Desktop through Tableau Online and share them with your colleagues easily

What is the latest version of Tableau?

Tableau 2021.4

What are the different data types in Tableau?

· Boolean data

· Date data

· Date and time data

· Geographical values

· Text/ string data

· Decimal number of data

· Whole number of data

What are Measures and Dimensions?

Measures are the quantitative values or numeric metrics of the data, which can be analyzed by dimension table. These are stored in a table that contains foreign keys referring uniquely to the associated dimension tables. This table supports data storage atomically and thus allows more records to be inserted at one time. Dimensions are the qualitative values or descriptive attributes for multiple dimensions and characteristics. The dimension table keeps a reference of a product key from the table consisting of product name, product type, size, colour, description, etc.

What is the difference between .twb and .twbx extension?

· .twb is an XML document that contains information about your sheets, dashboards and stories. It also contains all the selections and layouts you have made in your Tableau workbook

· .twbx is a ‘zipped’ or compressed package of files containing a .twb and any external files such as extracts and background images

How many maximum tables can you join in Tableau?

Maximum 32 tables

How can we connect our data sets with Tableau in different ways?

The data set of any company can connect with Tableau either live or directly extract data onto Tableau. The process will be as follows

· Live: It is a computational process in which data sets are processed and stored online. All the queries go to the database, get active and updated within the data universe. The whole process requires strong internet connectivity as the failure of connection can lead to slow data visualization

· Extract: The extract is a static snapshot of the data which is used by Tableau’s data engine. It can be refreshed on a recurring schedule as a whole or incrementally appended data. One way to set up these schedules is via the Tableau server. The best part with extract is that it can be used anywhere without any connection. Even one can build their visualization without connecting to a database

What are shelves?

Shelves are the named areas to the left and top of the view space in Tableau. The views are built by placing fields onto the shelves. Some shelves are available only when you select certain mark types in Tableau

What are sets?

Sets are sub-unit of custom data fields based on some conditions. It is based on a computed condition that may contain customers with sales over a certain threshold. It automatically updates the data as your data changes

What are groups?

A group is an association of dimension members that make higher-level categories in Tableau to facilitate collective insightful visualization

What is a hierarchical field?

A hierarchical field in tableau is used for breaking down data. It facilitates data visualization at a more granular level

What is Tableau Data Server?

Tableau Server is a virtual platform between Tableau users and the data that allows you to upload and share data abstracts, store database networks and reuse calculations. It provides a space where any changes you make to the data set can be saved and shared with others securely which is centrally managed with the standardized dataset.

What is Tableau Data Engine?

Tableau Data Engine is an analytical database designed to attain prompt query response, predictive analysis, integrate seamlessly into existing data infrastructure. The process is not limited to loading entire data sets into memory. It is a good space to work on a large amount of data as it takes less time to import, create indexes and sort data. It speeds up the processing of data quickly. The data is stored on disk and then it is imported to the RAM where it is hardly utilized.

What is Tableau Filters, explain their different types?

Tableau filters are used by artificial restrictions in the data flow to accept and transfer data that are more accurate from the database. There are three types of Filters

· Normal filter is used to restrict the data from the database on selected parameters. It can be created by simply dragging a field into the ‘Filters’ shelf

· Quick filter is used to filter each worksheet on a dashboard while altering the standards vigorously during data processing

· Context Filter is used to filter the data that is transferred to each worksheet. it creates a temporary flat table that is used to compute the chart and other dashboard insights

What is a Dual Axis?

Dual Axis is a unique feature of Tableau that helps users to view two scales in the same graph. It is mostly is used to present the comparison between two things simultaneously. The feature is widely used by e-commerce companies to show the comparative analysis of the same product.

What is disaggregation and aggregation of data?

Aggregation- The process of viewing numeric values at higher and more summarized levels of the data is called aggregation. When you place a measure on a shelf, Tableau automatically aggregates the data, usually by summing it

Disaggregation- It allows you to view every row of the data source that can be useful when you are analysing measures that you may want to use both independently and dependently in the view

What is the difference between joining and blending in Tableau?

Joining is the process of combining the data from the same source while blending requires two completely defined data sources in your report

What are Extracts and Schedules in the Tableau server?

Data Extracts are the first copies of the original data sources. It makes the workbook process faster than the live database connections. Through extraction of data, users can broadcast the workbook, publishes the extracts in Tableau Server easily. Whereas, Scheduling is the planned tasks set for data extract that refresh data set so that they are updated and automatically data while publishing a workbook with data extract.

What is performance testing in Tableau?

Performance testing is done by loading Testing Tableau Server with TabJolt, which is a “Point and Run” load generator created to perform QA. While TabJolt is not supported by tableau directly, it has to be installed using other open-source products

What is TDE file?

TDE is a Tableau desktop file that contains a .tde extension. It refers to the file that contains data extracted from external sources like MS Excel, MS Access or CSV file

What is default Data Blending Join?

Data blending is the facility to fetch data from various data sources into one Tableau view, without the prerequisite for any special coding. A default blend is equal to a left external join. However, by switching data source is prime, or by filtering nulls, it is imaginable to emulate left, right and inner joins.

What is the story in Tableau?

A story is a sheet that comprises an arrangement of worksheets or dashboards that work organized to transfer information. You can produce stories to show how truths are connected, deliver context, establish how decisions transmit to outcomes, or simply make a compelling case

What is the DRIVE Program Methodology?

Tableau Drive Program Methodology is used for scaling out self-service analytics. Drive is based on best practices from successful enterprise deployments. The methodology relies on iterative, agile methods that are faster and more effective than traditional long-cycle deployment.

What are different Tableau files?

· Workbooks

· Bookmarks

· Packaged Workbooks

· Data Extraction Files

· Data Connection Files

Is Tableau software good for strategic acquisition?


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