Tableau Interview Questions

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Tableau Interview Questions

If you're looking for Tableau Interview Questions for Experienced or Freshers, you are at right place. There are lot of opportunities from many reputed companies in the world. According to research Tableau has a market share of about 16.2%. So, You still have opportunity to move ahead in your career in Tableau Analytics. Mindmajix offers Advanced Tableau Interview Questions 2018 that helps you in cracking your interview & acquire dream career as Tableau Developer.

Tableau Real Time Interview Questions:

Tableau Vs QlikView

Features Tableau Qlikview
Access Data files Local, relational DBs, OLAP cubes. Local, relational DBs, OLAP cubes.
Online Data Access Limited Features Complete access
Data access productivity UN Limited Countable
Accessing Data through Menu Scripting
Development Scripting No ETL Scripting
Operations Integrated Development Environment Script
Application developer End User Application programmer or developer
Development principle Using UI Coding
Drag and drop feature Moderately available Provides completely
Filters and design price Moderate access Provides all the features for free
Visualization visualisationa can be shown using bullet Mini charts, radars etc can be used
Cartographic visualization Full access Limited Features
Ad hoc analytics Yes Limited Features
User communications Moderate access Completely available
Handling through Mobile platforms iOS iOS and Android
Licensing UN-Limited UN-Limited


Q. What is the difference between context filter to other filters?

Whenever we crate context filter

  • Tableau will create a temporary table for this particular filter set and other filters will be applied on context filter data like cascade parameters… suppose we have created context filter on countries >> we have chosen the country as USA and India
  • Tableau will create a temporary table for this two countries data and if you have any other filers >>other will be applied on this two countries data if we don’t have any context filter
  • Each and an individual record will check for all filters

Q. What is the disadvantage of context filters?

  • The context filter is not frequently changed by the user – if the filter is changed the database must be recomputed and rewrite the temporary table, slowing performance.
  • When you set a dimension to context, Tableau crates a temporary table that will require a reload each time the view is initiated. For Excel, Access and text data sources, the temporary table created is in an Access table format. For SQL Server, My SQL and Oracle data sources, you must have permission to create a temporary table on your server. For multidimensional data source, or cubes, temporary tables are not crated, and context filters only defined which filters are independent and dependent.

Q. What are the five main product offered by Tableau company?

Tableau offers five main products: Tableau Desktop, Tableau Server, Tableau Online, Tableau reader and Tableau Public.

Q. What is the current latest version of Tableau Desktop(as of Sep, 25th 2017)?

Current version: Tableau Desktop Version 10.4

Q. What is data visualization?

Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g. points, lines or bars) contained in graphics.

Interested in mastering Tableau Course? Enroll now for a FREE demo on Tableau Training.

Q. Why tableau?

Whether your data is in an on-premise database, a database, a data warehouse, a cloud application or an Excel file, you can analyze it with Tableau. You can create views of your data and share it with colleagues, customers, and partners. You can use Tableau to blend it with other data. And you can keep your data up to date automatically.

Q. What are Filters? How many types of filters are there in Tableau?

A filter is nothing but it is restricted to unnecessary, it is showing exact data. Basically, filters are 3 types.

  1. Quick filter
  2. Context filter
  3. Datasource filter

Q. What is disaggregation and aggregation of data?

Suppose I have data like

Eid Ename Salary Dept 2000 java 3000 .net
3.Krishna 2500 java
Madhu 300
5.Vamshi 3000 mainframes 1000 testing 3000 tableau
4.Madhu 7000 testing
vanshi 9000 tableau
1 abc 11000 Mainframes
2 bbc 13000testing
3 krishna 15000 java
4 Madhu 17000 .nte
5 vamshi

Aggregation: to display aggregate data
Sum/avg salary by each individual employee
drag ename on columna and salary on rows we will get sum (salary) of each and individual employee
now change measure type as Avg

Choose salary option – choose measure types as “Avg”

Disaggregation: To display each and every transaction

When you look at the aggregated data in the views above, each bar represents all transactions for a specific employee summed up or averaged into a single value. Now say that you want to see the individual salary transactions for each employee. You can create a view like that by selecting Analysis>Aggregate Measures.

Q. How to remove the All options from a Tableau auto – filter?

Right click filter>>customize>>uncheck show all option

Q. Can we use non – used columns (Columns which are not used in reports but data source has columns) in Tableau Filters?

Ex. In data source, I have a column like
empID, EmpName, EmpDept,EmpDsignation, EmpSalary
In reports, I am using empname on columns and empsalry on rows.
I can use empDesignation on Filters

Q. What is the benefit of Tableau extract file over the live connection?

The extract can be used anywhere without any connection and you can build your own visualizations without connecting to Database.

Q. How to combine two excel files with the same fields but different data (different years)?

I have 5 different excel files (2007.xls, 2008.xls..2011.xls) with same fields (film name, genre, budge, rating, profitability) but with data from the different year (2007 to 2011). Can someone tell me how can I combine the film name, genre, and profitability so that I can see the visualization of 2007 to 2011 in a single chart?

Related Article: Employing Visual Analytics To Aid Succession Planning In Tableau

Q. Max no of tables we can join in Tableau?

We can join max 32 table, it’s not possible to combine more than 32 tables.

Q. What is the difference between joining and blending in Tableau?
Joins in Tableau:

For Eg: your client is in Healthcare domain and using SQL Server as their database. In SQL server there may be many Tableau like Claims Tables, Rejected Claims Table, Customer Table. Now, the client wants to know customer wise claims and customer wise rejected claims table using the joins. Join is a query that combines the data form 2 or more tables by making use of Join condition.

We can join max 32 table, it’s not possible to combine more than 32 tables.

In Tableau the joins can perform in 2 ways.

  1. By making use of common columns.
  2. By making use of common data types.

If we create joins on the fields in Tableau all the table names are suffixing with $. While performing the joins on multiple tables, always go with the les amount of data tables, so that we can improve the performance.

In Tableau the joins are divided into 2 types.

  1. Equi Join,
  2. Non Equi Join

Equi Join: in the join condition if we are using Equality”=”operator then such a kind of join called as Equi join.

Non Equi Join: in the join condition apart from the Equality”=”if we use any other operator like <,>,<=,>= and=! Then such a kind of joins are called as Non Equi Join

Equi Join is divided into 3 types

  1. Inner Join,
  2. Outer Join,
  3. Self – Join.

1.Inner Join: Inner join will load the only matching records from both tables. Inner join condition:

2.Outer Join:
  Again the outer join divided into 3 types.

  • Left Outer Join,
  • Right Outer Join,
  • Full Outer Join.

Left outer join: Displays the complete data from the left + matching records from the right table.


Right Outer Join: displays the complete data from the right + matching records from the left.


Full outer join: full outer join load the complete data from the left table and right table. Condition: Table A full outer join Table B ON

3.Self-Join: if we are performing a join to the same table itself such a kind of join called as self-join
Non Equi Join:

In the join condition if we are using the operators apart from the equality “=” then such a kind of joins are called as Non Equi join.

Data Blending in Tableau:

For Ex: your client is the same Healthcare Client. They are operating their services in Asia, Europe, NA and so on & the are maintaining Asia data in SQL, Europe Data in SQL Server and NA data in MY SQL.

Now, your client wants to analyze their business across the world in a single worksheet. So you can’t perform join here.

Now you have made use of Data Blending Concept.
Normally in the Tableau, we can perform the analysis on the single data server. If we want to perform the analysis from the multiple data sources in a single sheet then we have to make use of a new concept called data blending.

Data blending mix the data from the different data sources and allow the users to perform th analysis in a single sheet. Blending means mixing. If we are mixing the data sources then it is called as data blending.

Rules to perform the data blending

In order to perform data blending, there are few rules.

  1. If we are performing the data blending on 2 data source these 2 data sources should have at least 1 common dimension.
  2. In that common dimension at least 1 value should match.

In Tableau, we can perform the data blending in 2 ways.

  1. Automatic way
  2. Custom way

1. Automatic way: In the automatic way Tableau automatically defines the relationship between the 2 data sources based on the common dimensions and based on the matching values and the relationship is indicated with Orange color.

2. Custom or Manual way: In the manual or custom way the user needs to define the relationship manually.

Data blending fuctionality

  1. All the primary data sources and the secondary data sources are linked by the specific relationship
  2. While performing the data blending each worksheet has a primary connection and optionally it might contain several secondary connections.
  3. All the primary connections are indicated in the Blue in the work sheet and all the secondary data sources indicated with the Orange color tick mark.
  4. In the data blending 1 sheet contains 1 primary data source and 1 sheet can contain an end number of secondary data sources.

Checkout Tableau Server Tutorials

Q. What are Dimensions and Facts?

Dimensions is nothing but the descriptive text columns and facts are nothing but measures (numerical values) dimention ex:productname city..facts: sales, profit

Tableau Admin Interview Questions:

Q. Can we place an excel file in a shared location and use it to develop a report and refresh it at regular intervals?

Yes, you can do it… but for the better performance use extract

Q. What is the difference between heat map and tree map?

A heat map is a great way to compare categories using color and size. In this, you can compare two different measures. The treemap is a very powerful visualization, particularly for illustrating hierarchical (tree-structured) data and part – to – whole relationships.

Q. What is the different between twb and twbx file extensions. Please explain.

Twb is a live connection, it points to the data source; the user receiving twb needs permission to said data source and no data is included. .twbx takes data offline, stores the data as a package or zip like a file, thereby eradicating the need for permissions from the end user, it’s now a snapshot in time of the data as of the time it was Saved as. twbx

Q. What is dual axis?

To display two measure in one graph

Related Article: How To Use Tabadmin For Administrative Task Automation In Tableau?

Q. What is the blended axis?

Multiple Measures are shown in a single axis and also all the marks are shown in single pane

  • Drag a dimension in a column
  • Drag the first measure in column
  • Drag 2nd measure in existing axis
  • Us/multiplemeasures_blendedaxes.html

Q. What makes Tableau software stand out?

In my view, Tableau stands out for several reasons:

First, most of the BI tools out there are pricey. However, Tableau has a free offering (Tableau Public) as well as a very popular (also free) academic distribution. Tableau is well recognized by firms like Forrester research to be one of the easiest to use, and agile products currently available. see here: Tableau Ranks #1 in The Forrester Wave: Advanced Data Visualization (ADV) Platforms That makes it easy to pick up and try new things with, which data visualization people love about it.

On the other hand, unlike some of the other BI tools, Tableau is not a complete technology stack, it is most useful for visualization and analytics. – you will need other products in addition to tableau for heavier enterprise data ETL, maintenance, and storage, etc.

Q. How do we do testing in Tableau?

You can’t test in Tableau as far as I know. It is a data visualization software.

Q. Can you get values from two different sources as a single input into the parameter?

Tableau currently not support the multi-valued parameters... "Case Study: The “dynamic parameter with a blend” technique can be used to highlight a single value, but not multiple values because of the way it works. As Tableau parameters are not dynamic, we cannot “filter” the list of values at runtime."

Q. How many ways we use parameters in Tableau?

We can use parameters with filters, calculated fields, actions, measure-swap, changing views and auto updates

Q. What is the use of a new Custom SQL Query in tableau?

Custom SQL Query written after connecting to data for pulling the data in a structured view, One simple example is you have 50 columns in a table, but we need just 10 columns only. So instead of taking 50 columns, you can write an sql query. The performance will increase.

Related Article: What Are The Common Use Cases For Tabcmd In Tableau?

Q. What are the differences between Tableau Software and Traditional BI tools?

Tableau provides easy to use, best in class, Visual Analytic capabilities, but it does not help with the plumbing (data foundation). You could, for example, marry SQL Server with Tableau to get the complete package. Tableau licenses are relatively expensive if you are looking to scale.

Traditional BI can handle it all but with significant upfront costs. Higher consulting, hardware and software costs. Among the mega-vendors, only Microsoft can provide a reasonable value proposition. Open source vendors like Pentaho and JasperSoft do not have an abundant enough talent pool, yet.

Q. What are the similarities and differences between Tableau software and Palantir?

Palantir and Tableau are very different. Palantir has its roots in large data computer science problems involving security, payments, fraud detection, and the likes. Customers/Investors include Paypal, CIA, and others.

Tableau is a visualization player – with roots in Stanford U research. It’s Visual Query Language (VizQL) allows users to build visualizations on top of standard data warehouses or spreadsheets.

Q. How to create cascading filters without context filter?

I have filter and filter2. Based on filterl I need to filter2 data
Ex: Filterl as Country and Filter 2: States

I have chosen the country as INDIA and filter2 should display only INDIA states
Choose options of Filter2 states :
select option of “Only relevant values “

Q. Is Tableau Software good for a strategic acquisition?

Yes for sure! It gives you data insight to the extent that others don’t.
Helps u plan and point the anomalies and improvise your process for betterment.

Q. How to display top 5 and last 5 sales in the same view?

Using filters or calculated fields we can able to display the top 5 and last 5 sales in the same view?

Checkout Tableau Sample Resume

Q. Design a view to show region wise profit and sales. I did not want line and bar chat should be used for profit and sales. How you will design and please explain?

Generate the Map using cities –>then Drag the Profit and sales to the Details–>Add the state as a Quick filter

Q. Design a view in a map such that if a user selects any state the cities under that state has to show profit and sales.

If you want to show the Sales and profit in each and every city under the states in the same work sheet. According to your question, you should have State, City, Sales, and Profit filed in your dataset.

  1. Double click on the State filed.
  2. Drag the City and drop into Marks card (under the State fied)
  3. Drag the sales and drop into size.
  4. Drag the profit and drop into color.
  5. Click on Size legend and increase the size. (75%)
  6. Right click on the State field and select show quick filter.
  7. Select any state and check whether you got the required view or not. In this view, size indicates the number of sales and color indicates the Profit values.

Q. How to add custom Color to Tableau?

Create a Custom Color code in “Preferences.tps”
Navigation ::: Documents » My Table Repository »Preferences.tps
Add custom color code
Note: In tableau 9.0 version we have color picker option.

Q. How can we combine database and flat file data in tableau desktop?

Connect data two times, one for database tables and one for the flat file. The Data->Edit Relationships
Give a join condition on a common column from db tables to flat file

Q. What is disaggregation and aggregation of data?

Suppose I have data like
Eid Ename Salary Dept 2000 java 3000 .net
3.Krishna 2500 java
Madhu 300
5.Vamshi 3000 mainframes 1000 testing 3000 tableau
4.Madhu 7000 testing
vamshi 9000 tableau
1 abc 11000 Mainframes
2 bbc 13000testing
3 krishna 15000 java
4 Madhu 17000 .nte
5 vamshi

Aggregation: to display aggregate data

Sum/avg salary by each individual employee
drag ename on columna and salary on rows we will get sum (salary) of each and individual employee
now change measure type as Avg
Choose salary option – choose measure types as “Avg”

Disaggregation: To display each and every transaction

When you look at the aggregated data in the views above, each bar represents all transactions for a specific employee summed up or averaged into a single value. Now say that you want to see the individual salary transactions for each employee. You can create a view like that by selecting Analysis>Aggregate Measures.

Q. What Does TABLEAU do?
Our goal is to help people see and understand data. Our software products put the power of data into the hands of everyday people, allowing a broad population of business users to engage with their data, ask questions, solve problems and create value.

Related Article: Learning To Leverage Tabcmd In Tableau

Q. What is Tableau Public? 

Tableau Public is a free service that lets anyone publish interactive data to the web. Once on the web, anyone can interact with the data, download it, or create their own visualizations of it. No programming skills are required. Be sure to look at the gallery to see some of the things people have been doing with it.

Q. What is data modeling?

Data modeling is the analysis of data objects that are used in a business or other context and the identification of the relationships among these data objects. Data modeling is the first step in doing object-oriented programming

Q. What is your daily work process in tableau?

I think we all work on different projects using Tableau, so the work begins from understanding the requirement getting the required data, story boarding then creating visualizations in the tableau and then presenting it to the client for review.

Q. What is the parameter in Tableau? And how it works.?

Parameters are dynamic values that can replace constant values in calculations and can serve as filters

Q. How does Tableau perform with huge datasets?

Tableau Performance is based on Data source performance. If data source takes more time to execute a query then Tableau must wait up to that time.

Q. How will you publish and schedule workbook in tableau server?

First, create a schedule for a particular time and then create an extract for the data source and publish the workbook for the server. Before you publish, there is an option called Scheduling and Authentication, click on that and select the schedule from the drop-down which is created and publish. Also, publish data source and assign the schedule. This schedule will automatically run for the assigned time and the workbook is refreshed.

Q. Define the names for parameters, filters etc…

Parameters are dynamic values that can replace constant values in calculations and can serve as filters. Filters are used to restrict the data based on the condition u have mentioned in the filters shelf.

Q. How to view sql which is generated by Tableau Desktop?

The Tableau Desktop Log files are located in C: UsersMy DocumentsMy Tableau Repository. If you have a live connection to the data source, check the log.txt and tabprotosrv.txt files. If you are using an extract, check the tdeserver.txt file. The tabprotosrv.txt file often shows detailed information about queries.

Related Article: What Kinds Of Tasks Can Be Done With Tabcmd In Tableau?

Q. What is page shelf?

page shelf is power full part of tableau That you can use to controle the display of output as well as printed results of output.

Q. What are the major differences between tableau version 7.0 and tableau version 8.0?

  1. New visualizations are introduced like treemap, bubble chart and box, and whisker plot
  2. We can copy worksheet directly from one workbook to another workbook
  3. Introduced R script

Q. How to create filled maps?

  • Step 1: Build a Map View Double-click a geographic field such as State, Area Code, Zip Code, etc.
  • Step 2: Select the Fille Map Mark Type The Automatic mark type will show this type of view as circles over a map. On the Marks card, select Filled Map to color the geographic areas.
  • Step 3: Drag a Field to the Color Shelf Define how the locations are colored by dragging another field to the Color shelf.

Q. Is Parameter have its dropdown list?

Yes, it may have its own drop down list, the entries which you make in the Parameter while creating it can be viewed as a Dropdown list.

Tableau Dashboard Interview Questions:

Q. How to rectify SQL Performance for developed Dashboards

After the creation of Dashboards if we get a problem from SQL side that means Custom SQL ….How to Rectify the SQL performance from custom SQL.

Q. Suppose my license expires today, can users able to view the dashboards or workbook which I published in server earlier.

If your server license expires today, your user name on the server will have the role ‘unlicensed’ which means you cannot access, but others can. The Site Admin can ‘Change Ownership’ to another person, so extracts, if enabled, do not fail.

Q. Think that I am using Tableau desktop and have a live connection to Cloud era hadoop data. I need to press F5 to refresh the visualization. Is there any way to automatically refresh the visualization every x minutes instead of pressing F5 every-time?

Here is the example of the refreshing dashboard in every 3 seconds, Replace api src and server url with yours. The interval below is for 3 seconds.
Tableau JavaScript API

Related Article: What Are The Rapid-fire Analysis At A Public Utility In Tableau?

Q. What Tableau Desktop is?

Tableau Desktop is based on breakthrough technology from Stanford University that lets you drag & drop to analyze data. It is a great data visualization tool, you can connect to data in a few clicks, then visualize and crate interactive dashboards with a few more.

Q. What are the differences between Tableau Software, GoodData and Traditional BI (Business Objects, etc.)?

You could talk feature – functionality for days, but at a high level, there are four major differences.

1. Speed: How fast can you get up and running with the system, answer questions, design and share dashboards and then change them? This is Where systems like Tableau and GoodData are far better than old – school business intelligence like Business Objects or Cognos. Traditional systems took months or years to intelligence like Business Objects or Cognos. Traditional systems took months or years to implement, with costs running to millions. Tableau has a free trail that installs in minutes and GoodData is cloud – based, so they are faster to implement by orders of magnitude. They are also faster to results: traditional BI requires IT and developers to make any changes to reports, so business users are struck in a queue waiting to get anything done. Tableau and GoodData provide more of a self – service experience.

2. Analysis layer: This is where Tableau excels. It has a powerful and flexible drag & drops visualization engine based on some technology from Stanford. GoodData and traditional BI typically provide some canned reports but changing them require significant time and money.

3. Data layer: This is where the three options are most different:

GoodData requires you to move your data to its cloud. Traditional BI typically requires you to move your data to its data warehouse system. Tableau connects to a variety of existing data source and also provides a fast in-memory data engine, essentially a local database. Since most enterprises have their data stored all over the place, this provides the most choice and lets companies use the investment they’ve already made.

4. Enterprise readiness: Traditional BI and Tableau do well here, with enterprise – level security and high scalability.

Related Article: Aggregating Disparate Data Sources At A Large University In Tableau

Q. What is Tableau Software?

Tableau is business intelligence software that allows anyone to easily connect to data, then visualize and create interactive, sharable dashboards. It’s easy enough that any Excel user can learn it, but powerful enough to satisfy even the most complex analytical problems. Securely sharing your findings with others only takes seconds.

Q. What is Tableau Server?

Tableau Server is browser- and mobile-based insight anyone can use. Publish dashboards with Tableau Desktop and share them throughout your organization. It’s easy to set up and even easier to run.

Q. Explain the integration of Tableau with R?

R is a popular open-source environment for statistical analysis. Tableau Desktop can now connect to R through calculated fields and take advantage of R functions, libraries, and packages and even saved models. These calculations dynamically invoke the R engine and pass values to R via the Rserve package, and are returned back to Tableau.

  1. Tableau Server can also be configured to connect to an instance of Rserve through the tabadmin utility, allowing anyone to view a dashboard containing R functionality.
  2. Combining R with Tableau gives you the ability to bring deep statistical analysis into a drag-and-drop visual analytics environment.

Q. What is the Difference between the quick filter and Normal filter in tableau?

A quick filter is used to view the filtering options and can be used to select the option. Normal filer is something you can limit the options from the list or use some conditions to limit the data by field or value.

Q. How do I automate reports using Tableau software?

You need to publish a report to tableau server while publishing you will find one option to schedule reports. You just need to select the time when you want to refresh data.

Q. How is Tableau so fast when working with databases?

Tableau compiles the elements of your visual canvas into a SQL or MDX query for the remote database to process. Since a database typically runs on more powerful hardware than the laptops/workstations used by analysts, you should generally expect the database to handle queries much faster than most in-memory BI applications limited by end user hardware. Tableau’s ability to push computation (queries) close to the data is increasingly important for large data sets, which may reside on a fast cluster and may be too large to bring in memory.

Another factor in performance relates to data transfer, or in Tableau’s case resultset transfer. Since Tableau visualizations are designed for human consumption, they are tailored to the capabilities and limits of the human perception system. This generally means that the amount of data in a query result set is small relative to the size of the underlying data, and visualizations focus on aggregation and filtering to identify trends and outliers. The small result sets require little network bandwidth, so Tableau is able to fetch and render the result set very quickly. And, as Ross mentioned, Tableau will cache query results for fast reuse.

The last factor involves Tableau’s ability to use in memory acceleration as needed (for example, when working with very slow databases, text files, etc.). Tableau’s Data Engine uses memory mapped I/O, so while it takes advantage of in memory acceleration it can easily work with large data sets which cannot fit in memory. The Data Engine will work only with the subsets of data on disk which are needed for a given query, and the data subsets are mapped into memory as needed.

Related Article: How To Embed Tableau Reports Securely On The Web?

Q. What is Tableau Desktop?

Tableau Desktop is a data visualization application that lets you analyze virtually any type of structured data and produce highly interactive, beautiful graphs, dashboards, and reports in just minutes. After a quick installation, you can connect to virtually any data source from spreadsheets to data warehouses and display information in multiple graphic perspectives. Designed to be easy to use, you’ll be working faster than ever before.

Q. How Does Tableau Work?

While Tableau lets you analyze databases and spreadsheets like never before, you don’t need to know anything about databases to use Tableau. In fact, Tableau is designed to allow business people with no technical training to analyze their data efficiently. Tableau is based on three simple concepts:

1. Connect: Connect Tableau to any database that you want to analyze.

Note that Tableau does not import the data. Instead, it queries to the database directly.

2. Analyze: Analyzing data means viewing it, filtering it, sorting it, performing calculations on it, reorganizing it, summarizing it, and so on. Using Tableau you can do all of these things by simply arranging fields of your data source on a Tableau worksheet. When you drop a field on a worksheet, Tableau queries the data using standard drivers and query languages (like SQL and MDX) and presents a visual analysis of the data.

3. Share: You can share results with others either by sharing workbooks with other Tableau users, by pasting results into applications such as Microsoft Office, printing to PDF or by using Tableau Server to publish or embed your views across your organization.

Q. What is the difference between tableau 7.0 and 8.0 versions.

  1. New visualizations are introduced like tree map bubble chart and box and whisker plot
  2. We can copy worksheet directly from one workbook to another Workbook
  3. Introduced R script

Q. Explain the features of Tableau 8.3?

With Kerboros support, Tableau 8.3 advances enterprise-grade data analysis with these enhancements:

  1. Provides seamless, single sign-on experience from Tableau client to back-end data sources
  2. Protects sensitive data with delegated access and viewer credential management
  3. Connects to live data sources through stable, automated back-end authentication
  4. Leverages existing IT investments in enterprise-grade authentication and data security
  5. Supports smart card authentication

Q. What is Metadata?

The Descriptive information about the information system and its contents is known as metadata. It defines the type of data we are storing.

Q. What is Data Warehousing Architecture?

Use Case: City bank is operating in India, US, UK, the goal of the city bank is every day they want to know their business in INDIA, US, UK, and they want to compare our country business with the remaining countries.

Related Article: How To Publish Dashboards In Tableau Server?

Q. What are the differences between Live and Extract Connections?

Live Connection Vs Extract Connection
Online Connectivity Online and Offline Connectivity
It is dependent on the Data Source Independent of the data source
It is independent of.TDE file Dependent on the.TDE file
We need to refresh the connection We need to refresh the Extract file
Refreshing Type: Incremental Full refresh (Incremental also possible)

Q. What is the Tableau Data Engine?

Tableau data engine is the high-performance analytical data base on our machine. It makes use of the memory on-fly.
After completing the work, TDE will release its memory 
TDE gets automatically installed along with the desktop installation.

Q. What is the Tableau Repository?

Tableau repository is the centralized component of the Tableau Desktop. It is the location where the complete information of the desktop will be stored in the form of multiple folders.

Q. What Are The Types of Dimension?

The Dimensions are divided into 9 Different types

  1. Slowly Changing Dimension
  2. Rapidly Changing Dimension
  3. Unchanged Dimension
  4. Shrunken Dimension
  5. Junk Dimension
  6. Conformed Dimension
  7. Degenerated Dimension
  8. Role Playing Dimension
  9. Inferred Dimension

1. Slowly Changing Dimension:

If the data in the dimension is changing over a period of time then such kind of dimension is known as “Slowly Changing Dimension”

Example: Student of the employee

2. Rapidly Changing Dimension:

If the data in the dimension is changing rapidly (or) frequently there such a kind of dimension is known as “Rapidly Changing Dimension”

Example: Age (Age will change each and every second, minute and hour)

3. Unchanged Dimension:

If the data in the dimension is unchanged or the values in the Unchanged Dimension are constant. So, it is called as “Static Dimension”

Example: Traffic Signals, Data Growth

4. Shrunken Dimension::

The subset of one dimension is known as Shrunken Dimension.

Example: Quarter is the Shrunken Dimension of the year
A month is the Shrunken Dimension of the Quarter
A week is the Shrunken Dimension of the Month

5. Junk Dimension:

Junk means unwanted (or) Unrelated. If the dimension containing the unrelated information, then it is called as “Junk Dimension”

6. Conformed Dimension:

If one dimension is commonly shared by the multiple business areas then such a  kind of dimension is known as Conformed Dimension.

Example: College -->  Hospital  --> Company
                        9:00 Am - 7:00 PM (Time)

7. Degenerated Dimension:

The dimension which contains only primary keys without any textual information is known as Degenerated Dimension.
It is the only dimension table which is not having 

8. Role Playing Dimension:

If one dimension is playing multiple roles in the fact table or if one dimension key is attached to multiple foreign keys in the fact then such a kind of dimension is known as “Role Playing Dimension”

Example: Flipkart
                 Date of order
                 Date of service
                 Date of delivery
            “DATE” is playing multiple roles.

9. Inferred Dimension:

The empty dimension is known as “Inferred Dimension”. It is commonly used in ETL.

As the Inferred Dimension does not contain its own primary keys, we will create the artificial primary keys known as “Surrogate Keys”

Q. Which Schema is Best in Performance?

Star Schema as it contains less number of tables. Always the start schema is good in performance because start schema contains leser number of tables so the data selection will be faster.

Q. Is it possible to convert snowflake to star schema or not?

Yes, it is possible to convert snowflake to star schema by grouping all the dimensions into a single logical. 

Logical dimension but that approach is not recommended as it degrades the performance.

Q. Which Schema You Have Implemented In Your Recent Project?

Always the snowflake because of the complexity of any client’s database (or) Business we designed a snowflake.

Q. Which Dimension is Not Having Its Own Dimension Table?

Degenerated Dimension

Q. What is VIZQL in Tableau?

Tableau is the Business Intelligence application which allows the users to create interactive, dynamic visualizations,  with the help of “VIZQL”

VIZQL: VIZQL is a visualization query language


VIZQL is a combination of the structured query language  (SQL) which is used to communicate with the data and descriptive language (DL) which is used to convert the textual data into visualization.

Note: VIZQL is dynamic in nature
VIZQL is the patent query language by the tableau corporation.

Q. What Are The Type Of Measures?

  1. Additive Measure
  2. Semi Additive Measure
  3. Non-Additive Measure

Additive Measure:

If the measure is supporting the aggregative with all the dimensions then such kind of measure is known as “Additive Measure”

Semi Additive Measure:

If the measure is supporting the aggregations only on few of dimensions but not all of them such kind of measure is known as semi-Additive Measure.

Non-Additive Measure:

If the measure is not giving us any meaningful Outputs after applying the aggregations with the list of all dimensions then it is known as “Non-Additive Measure”

Q. What is Fact Table?

Collection of facts is known as Fact Table. Based on the types of facts, fact tables are divided into 3 types

  1. Cumulative Fact Table
  2. Snapshot Fact Table
  3. Factless Fact Table

Cumulative Fact Table:

If the fact table is containing only the additive facts these such a kind of fact table is known as “Cumulative Fact Table”

It contains the periodic information like year wise total sales, state wise average revenues, etc.

Snapshot Fact Table:

If the fact table containing only semi additive & non-additive facts then such a kind of fact table is known as “Snapshot Fact Table”

It contains instant information like day wise discounts, week wise margins etc.

Factless Fact Table:

If the fact table is containing only the keys without any facts such a kind of fact tables is known as Factless Fact Table.

Q. What is WorkBook?

In Tableau, workbook files are much similar like MS-Excel workbooks.
The workbook is the container for all work in the Tableau
To create a new workbook click on file & select new (or) use cntl+n

The workbook contains:

  1. Data section
  2. Tableau workspace

Q. What are the Default Geographic Roles?

  1. Area Code (U.S)
  2. CBSA/MSA (U.S)
  3. Congressional Districts (U.S)
  4. Cities
  5. Country/Region
  6. County
  7. States/Provinces
  8. ZIP Codes/ Postal Codes

Q. What Are The MAP Types?

In Tableau, we are having two types of maps

  1. Symbol Maps
  2. Filled Maps

Symbol Maps: If we indicate each and every geographic location with a symbol like a circle or square on the map then it is known as "Symbol Maps

Filled Maps: If we indicate each and every geographic location with a filled portion then it is known as "Filled Map".

Q. What is The Behaviour of Dimension?

Dimension always contains discrete values
Discrete values mean each and every value will be independent of the remaining values.

Q. What is Nested Dual Axis?

If we place one dual axis inside the other is it known as “ Nested Dual Axis”.
In maps, it is possible to create the nested dual axis.

Q. What Are The Background Maps In Tableau?

In Tableau, we are having three types of background maps

  1. Offline
  2. Online
  3. WMS Server

1. Offline: In offline tableau gets the backgrounds maps from the local machine. It doesn’t require any internet connectivity.

Offline maps will be located in the following location

2. Online: In online Tableau gets the backgrounds map from the remote tableau servers. It requires internet connectivity
From tableau 8.2 in an online mode, we are hacking into servers

  2. TABLEAU Classic

From Tableau 9.0 they have integrated all the features of tableau & tableau classics into a single server tableau. So, from tableau 9.0 only tableau online option is available.

3. WMS Server: WMS Stands for "Web Map Service Server" using this option we can connect to third party servers.

Note:: To change the background map options click on “map” select background map and check either “Offline” or “Online” or”NEO WMS” (Nasa Earth Observation - NEO).

Q. What are the Filtering Levels in Tableau?
In Tableau, filtering can be performed at two levels 

  1. Worksheet Level
  2. Data Source Level (New Feature from 8.0)

Worksheet Level:
If we perform filtering at the worksheet level tableau will add a filter to only that worksheet by default.

Data Source: 
If we perform filtering at data source level tableau will apply that filter to all the sheets uses that data source.

Q. What are Different filtering ways at the worksheet levels?

  1. Header
  2. Marks Card
  3. Dataview
  4. Using Filter Shelf
  5. Quick Filter
  6. Context Filter
  7. Cascading Filter
  8. Parameter Filter

Q. What are the Parameters in Tableau?

Parameters allow the users to pass their own values dynamically.
In Tableau, we can able to create different types of parameters like

  1. Integer
  2. Float
  3. String
  4. Boolean
  5. Data Type
  6. Date+Time

Depending on the data type & parameters we can pass the values in three ways

  1. All
  2. List
  3. Range

Q. Filtering Across Multiple Data Sources?

In Tableau by default, we can share filter to only one data source. If we want to share the filter across multiple  data sources then we have to use 

  1. Parameters
  2. Filter Actions

Note: Parameters are independent of the data source

Note: If we use the same parameters across multiple worksheets. If we select a value in one worksheet it will automatically get applied in the remaining worksheets.

Q. What Are The Difference Between Quick Filter and Parameters?

Quick Filter and Parameters in Tableau
Quick Filter Parameters
It allows the multi value selection It allows only single value selection
Dynamic in Nature Static in Nature
It contains the in-built values (values from the data source) It contains the user defined values
Specific to one Data Source It is common to complete workbook (Independent of Data Source)
It is possible to add Quick filter fields to filter shelf It is not possible to add parameters to filter shelf
Filtering Quick filtering can be performed within one data source Parameters filtering can be performed across multiple data sources.

Q. What are the Alerts & Subscriptions?

With the alerts & subscriptions, it is possible to know the status of the tableau server automatically.
To configure this we need an SMTP (Simple Mail Transfer Protocol).
Subscriptions will send the required content to the subscribes to the automatically.

Q. What is The Secure Socket Layer?

SSL (Secure Socket Layer) secures the information while transforming over the network, by converting it into the encrypted format after reaching the target it will automatically decrypt.
To configure SSL, we need SSL certification file where we have to obtain this certification from the 3rd party hosting companies like Norton..etc.

Q. What is Security Assertion Markup Language?

SAML is used to configure the single sign-on.
In the single sign-on, it is possible to access multiple servers.

Q. What is the Kerberos?

Kerberos is a new feature from tableau 8.3, with Kerberos also it is possible to configure single-sign-on.

Q. What Are The Tableau Servers?

Depending on the licensing cost tableau server are divided into 2 types

  1. User-Based Tableau Server
  2. Core Based Tableau Server

User-Based Server:
It provides Limited user access depending on the no.of users & Licences.
Note:: If we take License for 10 users at a time, we can add site roles to only this 10 users. If we assign any site role to the 11th user. Tableau assigns automatically site role as Unlicensed.

Core Based Server:
It provides unlimited user access at a time we can assign site roles to ‘n’ no.of users.
The Licensing cost will be very high for the core bared server.
Note: Core based server contains another “site role” in the name of “eruest”
User based server starting licensing cost is 10,000$ per 10 users per one year.

Q. Revision History

From Tableau Server 9.3 it is possible to perform version controlling in the tableau with the help of revision history option at the time of site creation.
Version controlling means maintaining multiple older copies of the same workbook if you publish the workbook with the same name. It is very advantageous to Rolbasis the original visualization after modifying them.

Q. What is Scheduling?

Automation of the manual tasks can be achieved with the help of scheduling.
Scheduling can be performed for 2 types of tasks.

Extract Refreshers: Which will perform refreshing of the extract files automatically.
Subscription: Which will send the required visualization to subscribers automatically using SMTP.

Q. Tableau Server Setup

  1. Installation
  2. Configuration


Deployment_type No.of Users RAM-Size No of Cores
Testing (or) Proof of Concept (or) Evaluation 1 (or) 2 4 GB for 32 bit 2
Small < 25 8 GB  4
Medium < 100 32 GB  8
Enterprise >=100 >=32 GB 16

List Of Tableau Courses:

 Tableau Advanced
 Tableau Server
 Data Visualization and Dashboarding Fundamentals


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