Skip to main content

Top 50 Tableau Interview Quesions & Answers

Few of my friends are attending Tableau Interview in CTS, TCS, Genpact, IBM, Accenture, Infosys, Wipro from past few months during the discussion they provided me the consolidation of Tableau Interview Questions and Answers so that all Tableau professionals who are preparing for Tableau interview can get benefits.  


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

A .twb is an xml document which contains all the selections and layout made you have made in your Tableau workbook. It does not contain any data.
A .twbx is a ‘zipped’ archive containing a .twb and any external files such as extracts and background  images.

2.How many maximum tables can you join in Tableau?
 
You can join a maximum of 32 tables in Tableau.

3.What are shelves?
 
They are Named areas to the left and top of the view. You build views by placing fields onto the shelves. Some shelves are available only when you select certain mark types
 
4.What are sets?
 
Sets are custom fields that define a subset of data based on some conditions. A set can be based on a computed condition, for example, a set may contain customers with sales over a certain threshold. Computed sets update as your data changes. Alternatively, a set can be based on specific data point in your view.

5.What are groups?
 
A group is a combination of dimension members that make higher level categories. For example, if you are working with a view that shows average test scores by major, you may want to group certain majors together to create major categories.

6.What is a hierarchical field?
 
A hierarchical field in tableau is used for drilling down data. It means viewing your data in a more granular level.

7.What is Tableau Data Server?

Tableau server acts a middle man between Tableau users and the data. Tableau Data Server allows you to upload and share data extracts, preserve database connections, as well as reuse calculations and field metadata. This means any changes you make to the data-set, calculated fields, parameters, aliases, or definitions, can be saved and shared with others, allowing for a secure, centrally managed and standardized dataset. Additionally, you can leverage your server’s resources to run queries on extracts without having to first transfer them to your local machine.

8.How to create a calculated field in Tableau?

•    Click the drop down to the right of Dimensions on the Data pane and select “Create > Calculated Field”to open the calculation editor.
•    Name the new field and create a formula.

9.What is the difference between joining and blending in Tableau?

•    Joining term is used when you are combining data from the same source, for example, worksheet in an Excel file or tables in Oracle database
•    While blending requires two completely defined data sources in your report.

10.How to add Custom Color to Tableau?

Adding a Custom Color refers to a power tool in Tableau. Restart you Tableau desktop once you save .tps file. From the Measures pane, drag the one you want to add color to Color. From the color legend menu arrow, select Edit Colors. When a dialog box opens, select the palette drop-down list and customize as per requirement.

11.Mention whether you can create relational joins in Tableau without creating a new table?

Yes, one can create relational joins in tableau without creating a new table.

12.What is Assume referential integrity?

In some cases, you can improve query performance by selecting the option to Assume Referential Integrityfrom the Data menu. When you use this option, Tableau will include the joined table in the query only if it is specifically referenced by fields in the view.

13.What is story in Tableau?

A story is a sheet that contains a sequence of worksheets or dashboards that work together to convey information. You can create stories to show how facts are connected, provide context, demonstrate how decisions relate to outcomes, or simply make a compelling case. Each individual sheet in a story is called a story point.

14.What is the DRIVE Program Methodology?


Tableau Drive is a methodology 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.
A cornerstone of this approach is a new model of partnership between business and IT.

15.Mention what are different Tableau files?

Different Tableau files include:
•    Workbooks: Workbooks hold one or more worksheets and dashboards
•    Bookmarks: It contains a single worksheet and its an easy way to quickly share your work
•    Packaged Workbooks: It contains a workbook along with any supporting local file data and background images
•    Data Extraction Files: Extract files are a local copy of a subset or entire data source
•    Data Connection Files: It’s a small XML file with various connection information

16.Is Tableau software good for strategic acquisition?

Yes! For sure. It gives you data insight to the extent that other tools can’t. Moreover, it also helps you to plan and point the anomalies and improvise your process for betterment of your company.

17.Can Tableau be installed on MacOS?

Yes, Tableau Desktop can be installed on both on Mac and Windows Operating System.

18.When publishing workbooks on Tableau online, sometimes a error about needing to extract appears. Why does it happen occasionally?


This happens when a user is trying to publish a workbook that is connected to an internal server or a file stored on a local drive, such as a SQL server that is within a company’s network.

19.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.
There are two aspects of TDE design that make them ideal for supporting analytics and data discovery.
•    Firstly, TDE is a columnar store.
•    The second is how they are structured which impacts how they are loaded into memory and used by Tableau. This is an important aspect of how TDEs are “architecture aware”. Architecture-awareness means that TDEs use all parts of your computer memory, from RAM to hard disk, and put each part to work what best fits its characteristics.

20.How to do Performance Testing in Tableau?

Performance testing is again an important part of implementing tableau. This can be 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.

21.What is a dual axis?

Dual Axis is an excellent phenomenon supported by Tableau that helps users view two scales of two measures in the same graph. Many websites like Indeed.com and other make use of dual axis to show the comparison between two measures and their growth rate in a septic set of years. Dual axes let you compare multiple measures at once, having two independent axes layered on top of one another.

22.What are the different connections you can make with your dataset?

We can either connect live to our data set or extract data onto Tableau.
•    Live: Connecting live to a data set leverages its computational processing and storage. New queries will go to the database and will be reflected as new or updated within the data.
•    Extract: An extract will make a static snapshot of the data to be used by Tableau’s data engine. The snapshot of the data can be refreshed on a recurring schedule as a whole or incrementally append data. One way to set up these schedules is via the Tableau server.
The benefit of Tableau extract over live connection is that extract can be used anywhere without any connection and you can build your own visualization without connecting to database.

23.What is Tableau?

Tableau is a business intelligence software that allows anyone to connect to respective data, and then visualize and create interactive, shareable dashboards.

24.What is Tableau Data Engine?

Tableau Data Engine is a really cool feature in Tableau. Its an analytical database designed to achieve instant query response, predictive performance, integrate seamlessly into existing data infrastructure and is not limited to load entire data sets into memory.
If you work with a large amount of data, it does takes some time to import, create indexes and sort data but after that everything speeds up. Tableau Data Engine is not really in-memory technology. The data is stored in disk after it is imported and the RAM is hardly utilized. 

25.How to remove ‘All’ options from a Tableau auto-filter?

The auto-filter provides a feature of removing ‘All’ options by simply clicking the down arrow in the auto-filter heading. You can scroll down to ‘Customize’ in the dropdown and then uncheck the ‘Show “All” Value’ attribute. It can be activated by checking the field again.

26.How to automate reports?

You need to publish 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.

27.What do you understand by blended axis?

In Tableau, measures can share a single axis so that all the marks are shown in a single pane. Instead of adding rows and columns to the view, when you blend measures there is a single row or column and all of the values for each measure is shown along one continuous axis. We can blend multiple measures by simply dragging one measure or axis and dropping it onto an existing axis.

28.How to use group in calculated field?

By adding the same calculation to ‘Group By’ clause in SQL query or creating a Calculated Field in the Data Window and using that field whenever you want to group the fields.
•    Using groups in a calculation. You cannot reference ad-hoc groups in a calculation.
•    Blend data using groups created in the secondary data source: Only calculated groups can be used in data blending if the group was created in the secondary data source.
•    Use a group in another workbook. You can easily replicate a group in another workbook by copy and pasting a calculation.

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

Yes, we can do it. But for better performance we should use Extract.

30.What is the maximum no. of rows Tableau can utilize at one time?

Tableau is not restricted by the no. of rows in the table. Customers use Tableau to access petabytes of data because it only retrieves the rows and columns needed to answer your questions.

31.What are Measures and Dimensions?

Measures are the numeric metrics or measurable quantities of the data, which can be analyzed by dimension table. Measures are stored in a table that contain foreign keys referring uniquely to the associated dimension tables. The table supports data storage at atomic level and thus, allows more number of records to be inserted at one time. For instance, a Sales table can have product key, customer key, promotion key, items sold, referring to a specific event.
Dimensions are the descriptive attribute values for multiple dimensions of each attribute, defining multiple characteristics. A dimension table ,having reference of a product key form the table, can consist of product name, product type, size, color, description, etc.

32.What are the different filters in Tableau and how are they different from each other?


In Tableau, filters are used to restrict the data from database.
The different filters in Tableau are: Quick , Context and Normal/Traditional filter are:
o    Normal Filter is used to restrict the data from database based on selected dimension or measure. A Traditional Filter can be created by simply dragging a field onto the ‘Filters’ shelf.
o    Quick filter is used to view the filtering options and filter each worksheet on a dashboard while changing the values dynamically (within the range defined) during the run time.
o    Context Filter is used to filter the data that is transferred to each individual worksheet. When a worksheet queries the data source, it creates a temporary, flat table that is uses  to compute the chart. This temporary table includes all values that are not filtered out by either the Custom SQL or the Context Filter.

33.What is default Data Blending Join?

Data blending is the ability to bring data from multiple data sources into one Tableau view, without the need for any special coding. A default blend is equivalent to a left outer join. However, by switching which data source is primary, or by filtering nulls, it is possible to emulate left, right and inner joins.

34.Mention what is the difference between published data sources and embedded data sources in Tableau?

The difference between published data source and embedded data source is that,
•    Published data source: It contains connection information that is independent of any workbook and can be used by multiple workbooks.
•    Embedded data source: It contains connection information and is associated with a workbook

35.Suppose my license expires today, will users be able to view dashboards or workbooks which I published in the server earlier?

If your server license expires today, your username on the server will have the role ‘unlicensed’ which means you cannot access but others can. The site admin can change the ownership to another person so that the extracts do not fail.

36.Explain when would you use Joins vs. Blending in Tableau?

If data resides in a single source, it is always desirable to use Joins.  When your data is not in one place blending is the most viable way to create a left join like the connection between your primary and secondary data sources.


37.What is the difference between Tableau and Traditional BI Tools?

Tableau provides easy to use, best in class, visual analytic capabilities but has nothing to do with the data foundation or plumbing. But with an integration with a SQL server it can be the complete package.
On the other hand traditional BI tools have the before mentioned capabilities but then you have to deal with significant amount of upfront costs. The cost of consulting, software and hardware is comparatively quite high.

38.What is the difference between discrete and continuous in Tableau?

There are two types of data roles in Tableau – discrete and continuous dimension.
•    Discrete data roles are values that are counted as distinct and separate and can only take individual values within a range. Examples: number of threads in a sheet, customer name or row ID or State. Discrete values are shown as blue pills on the shelves and blue icons in the data window.
•    Continuous data roles are used to measure continuous data and can take on any value within a finite or infinite interval. Examples: unit price, time and profit or order quantity. Continuous variables behave in a similar way in that they can take on any value. Continuous values are shown as green pills.

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

According to your question you must have state, city, profit and sales fields in your dataset.
•    Step 1: Double click on the state field
•    Step 2: Drag the city and drop it into Marks card.
•    Step 3: Drag the sales and drop it into size.
•    Step 4: Drag profit and drop it into color.
•    Step 5: Click on size legend and increase the size.
•    Step 6: Right click on state field and select show quick filter.
•    Step 7:  Select any state now and check the view.

40.What are Extracts and Schedules in Tableau server?

Data extracts are the first copies or subdivisions of the actual data from original data sources. The workbooks using data extracts instead of those using live DB connections are faster since the extracted data is imported in Tableau Engine.After this extraction of data, users can publish the workbook, which also publishes the extracts in Tableau Server. However, the workbook and extracts won’t refresh unless users apply a scheduled refresh on the extract. Scheduled Refreshes are the scheduling tasks set for data extract refresh so that they get refreshed automatically while publishing a workbook with data extract. This also removes the burden of republishing the workbook every time the concerned data gets updated.

41.How to view underlying SQL Queries in Tableau?

Viewing underlying SQL Queries in Tableau provides two options:
•    Create a Performance Recording to record performance information about the main events you interact with workbook. Users can view the performance metrics in a workbook created by Tableau.
Help -> Settings and Performance -> Start Performance Recording
Help -> Setting and Performance -> Stop Performance Recording.
•    Reviewing the Tableau Desktop Logs located at C:\Users\\My Documents\My Tableau Repository. For live connection to data source, you can check log.txt and tabprotosrv.txt files. For an extract, check tdeserver.txt file.

42.Name the components of a Dashboard.

    Horizontal – Horizontal layout containers allow the designer to group worksheets and dashboard components left to right across your page and edit the height of all elements at once.
•    Vertical – Vertical containers allow the user to group worksheets and dashboard components top to bottom down your page and edit the width of all elements at once.
•    Text – All textual fields.
•    Image Extract  – A Tableau workbook is in XML format. In order to extracts images, Tableau applies some codes to extract an image which can be stored in XML.
•    Web [URL ACTION] – A URL action is a hyperlink that points to a Web page, file, or other web-based resource outside of Tableau. You can use URL actions to link to more information about your data that may be hosted outside of your data source. To make the link relevant to your data, you can substitute field values of a selection into the URL as parameters.

On-going I will be posting Tableau server interview questions on the same page.

#Tableau #Tableau Interview Questions # Tableau Interview Questions and Answers # Tableau Interview Questions for Freshers & Experienced # Tableau Interview # Tableau Desktop Interview Questions #Cognizant Tableau Interview Question # Tableau Interview Question 2018

Comments

Popular posts from this blog

Contact Me

Do You have any queries ?                   If you are having any query or wishing to get any type of help related Datawarehouse, OBIEE, OBIA, OAC then please e-email on below. I will reply to your email within 24 hrs. If I didn’t reply to you within 24 Hrs., Please be patience, I must be busy in some work. kashif7222@gmail.com

Top 130 SQL Interview Questions And Answers

1. Display the dept information from department table.   Select   *   from   dept; 2. Display the details of all employees   Select * from emp; 3. Display the name and job for all employees    Select ename ,job from emp; 4. Display name and salary for all employees.   Select ename   , sal   from emp;   5. Display employee number and total salary   for each employee. Select empno, sal+comm from emp; 6. Display employee name and annual salary for all employees.   Select empno,empname,12*sal+nvl(comm,0) annualsal from emp; 7. Display the names of all employees who are working in department number 10   Select ename from emp where deptno=10; 8. Display the names of all employees working as   clerks and drawing a salary more than 3000   Select ename from emp where job=’clerk’and sal>3000; 9. Display employee number and names for employees who earn commissi...

Informatica sample project

Informatica sample project - 1 CareFirst – Blue Cross Blue Shield, Maryland (April 2009 – Current) Senior ETL Developer/Lead Model Office DWH Implementation (April 2009 – Current) CareFirst Blue Cross Blue Shield is one of the leading health care insurance provided in Atlantic region of United States covering Maryland, Delaware and Washington DC. Model Office project was built to create data warehouse for multiple subject areas including Members, Claims, and Revenue etc. The project was to provide data into EDM and to third party vendor (Verisk) to develop cubes based on data provided into EDM. I was responsible for analyzing source systems data, designing and developing ETL mappings. I was also responsible for coordinating testing with analysts and users. Responsibilities: ·          Interacted with Data Modelers and Business Analysts to understand the requirements and the impact of the ETL on the business. ·  ...