You are right place, If you are looking for tableau interview questions and answers, get more confidence to crack interview by reading this questions and answers we will update more and more latest questions for you…
Tableau beginners Interview questions
1. What is Tableau?
Tableau is a Business Intelligence Tool for visually analyzing the data. User can create and distribute and distribute an interactive dashboards, which depict the trends and variations of the data in the form of graph and charts.
2. What are the 5 main product offered by Tableau company?
Tableau offers 5 main products:
Related Articles – Explain about Tableau Desktop?
Related Article – Explain about Tableau Server?
Related Article – What is Tableau Online?
3. What’s the present latest version of Tableau 2019?
Tableau 2019.2 takes your data analysis to the next level.
Related Article – Best Features of Tableau 2019.1
4. Why is Tableau useful?
Answering this question gives you a chance to show your big picture understanding of the role of data and the role of analytics to make sense of that data. Data for data’s sake has no value. Using a visualization tool like Tableau makes data actionable. In addition, Tableau is so useful because it is easy to learn, it can be somewhat self-service even for those who are not data-minded, and it makes sharing insights a straightforward task.
5. 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.
Related Article – Tableau Data visualization
6. What is the difference between .twb and .twbx extension?
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.
twbx is a ‘zipped’ archive containing a .twb and any external files such as extracts and background images.
7. What is a parameter Tableau? And how it works?
Parameters are dynamic values, we can replace the constant values in calculations.
8. What are different data types in Tableau?
As a data analysis tool, Tableau classifies every piece of data into one of the four categories namely – String, Number, Boolean and date time. Once data is loaded from the source, Tableau automatically assigns the data types. Contrarily, you can also change some of the data types if it satisfies the data conversion rule. The user has to specify the data type for calculated fields.
Related Article – Tableau Data Types
9. How many maximum tables can you join in Tableau?
You can join a maximum of 32 tables in Tableau.
10. What are Dimensions and Facts?
Dimensions are nothing, however, the descriptive text columns and facts are measures (numerical values) dimension ex: product name town.facts: sales, profit.
11. What’s the distinction between a fast filter and traditional filter in tableau?
A quick filter is employed to look at the filtering choices and might wont to choose the choice. traditional filer are a few things you’ll limit the choices from the list or use some conditions to limit the information by field or price.
Related Article – Tableau Filters
12. Explain different connection types in Tableau.
There are 2 connection types available in Tableau.
Extract: Extract is a snapshot of data which will be extracted from data source and put into Tableau repository. This snapshot can be refreshed periodically fully or incrementally. This can be scheduled in Tableau Server.
Live: It creates a direct connection to data source and data will be fetched directly from tables. So, data will be up to date and consistent. But, this also affects access speed.
13. What are measures and dimensions in tableau?
Tableau divides the data in two main types: dimensions and measures. Dimensions are usually those fields that cannot be aggregated; measures, as its name suggests, are those fields that can be measured, aggregated, or used for mathematical operations. Dimension fields are usually used for row or column headings; measures are usually used for plotting or giving values to the sizes of markers.
Get Tableau certification easily after completion of tableau training at onlineitguru
When you import the data for the first time, Tableau determines whether to consider a field as a dimension or a measure. This determination involves considering fields with all text (nominal or other text) values and fields with numeric values. Depending on the data source, Tableau also uses Microsoft’s Jet Engine Driver.
Tableau experienced Interview questions
14. 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.
15. 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 tableau and then presenting it to the client for review.
16. 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.
17. How will you publish and schedule workbook in tableau server?
First create a schedule for particular time and then create extract for the data source and publish the workbook for the server. Before you publish, there is a 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.
18. What is a LOD expression?
LOD Expressions give way to effectively compute aggregations that are not at the level of detail of the visualization. You would then be able to coordinate those values inside visualization in arbitrary ways.
Related Article – LOD Expressions in tableau
19. 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.
Related Article – How Was Data Engine Tableau Updated By a German StartUp?
20. What is Data Modelling?
Data modelling is the analysis of data objects that are used in a business or other context and also used as identification of the relationships among these data objects. It is a first step of doing object-oriented programming.
21. 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. Tree map is a very powerful visualization, particularly for illustrating hierarchical (tree – structured) data and part – to – whole relationships.
22. What is the use of 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 a sql query. Performance will increase.
23. 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 Jasper-soft do not have an abundant enough talent pool, yet.
24. 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.
Related Article – Tableau Calculations
25. What Is Aggregation And Dis-aggregation In A Tableau?
Aggregation: to display aggregate data
Dis-aggregation: To display each and every transaction
26. Differentiate between Tiled and Floating in dashboards?
In a tiled layout, items don’t overlap. The layout will be adjusted according to dashboard size. In Floating layout, items can be placed on some other layers. Floating items can have fixed position and size.
27. What is VIZQL in Tableau?
VIZQL is Visual Inquiry Language. It is a combination of VIZ and SQL. It is similar to SQL language. But instead of SQL commands, VIZQL language converts data queries into visual images.
28. How many State the components of the dashboard
Dashboard consists of 5 components.
Web: it consists of a web page embedded in the dashboard.
Horizontal component: it is a horizontal layout container in which we can add objects.
Vertical component: it is a vertical layout container in which we can add objects.
Image Extract: it allows you to upload an image to dashboard from computer.
Text: it is a small word pad where we can format and edit the text.
29. What are the different types of joins in Tableau?
The joins in Tableau are same as SQL joins. Take a look at the diagram below to understand it.
30. 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.
Tableau Server can also be configured to connect to an instance of Rserve through the tab admin utility, allowing anyone to view a dashboard containing R functionality.
Combining R with Tableau gives you the ability to bring deep statistical analysis into a drag-and-drop visual analytics.
Tableau Experts Interview questions
31. 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.
32. What’s knowledge visualization?
Data Image refers to the techniques to communicate knowledge or information by encrypting it as visual objects like points, lines or bars that are contained in graphics.
Related Article – Tableau Data visualization
33. 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.
34. What are Table Calculations?
It is a change you apply to the estimations of a solitary measure in your view, in light of estimations in the dimension of detail.
Related Article – What are Table Calculations in Tableau?
35. What Are The Differences Between Tableau Desktop And Tableau Server?
While Tableau desktop performs data visualization and workbook creation, Tableau server is used to distribute these interactive workbooks and/or reports to the right audience. Users can edit and update the workbooks and dashboards online or Server but cannot create new ones. However, there are limited editing options when compared to desktop.
Tableau Public is again a free tool consisting of Desktop and Server components accessible to anyone.
Related Article – Differentiate Tableau Server and Desktop?
36. What Are Quick Filters In Tableau?
Global quick filters are a way to filter each worksheet on a dashboard until each of them contains a dimension. They are very useful for worksheets using the same data source, which sometimes proves to a disadvantage and generate slow results. Thus, parameters are more useful.
37. 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.
38. 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.
39. 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 Tab-jolt, which is a “Point and Run” load generator created to perform QA. While Tab-jolt is not supported by tableau directly, it has to be installed using other open source products.
40. How Can You Display Top Five And Last Five Sales In The Same View?
Create two sets, one for top 5 another for bottom 5 and the join these two sets displaying a unique set of total 10 rows.
41. How you define and create calculated field in tableau?
Calculated field helps you define the calculation based on measure and salary.
Like If you have Salary measure and bonus measures and asked to find out new salary you Can define calculated field
New Salary= [salary]+[salary]*[bonus%]
You can create calculated field by right over dimension or measure or Data shelf.
Syntax of creating sets using calculated field?
Answer: If sum[sales] > $1,50,00 Then ‘IN’
The way to add custom Color to Tableau?
Create Custom code in “Preferences.tps”
Navigation ::: Documents » My Table Repository »Preferences.tps
Add custom code
Note: In tableau nine.0 version we’ve color picker choice.
42. 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.
43. 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.
44. Can Tableau be installed on Mac OS?
Yes, Tableau Desktop can be installed on both on Mac and Windows Operating System.
45. 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.
to our newsletter
As we know, that Selenium with Python Web Browser Selenium Automation is Gaining Popularity Day by Day. So many Frameworks and Tools Have arisen to get Services to Developers.
Over last few years, Big Data and analysis have come up, with Exponential and modified Direction of Business. That operate Python, emerged with a fast and strong Contender for going with Predictive Analysis.
Understanding and using Linear, non-linear regression Models and Classifying techniques for stats analysis. Hypothesis testing sample methods, to get business decisions.
Everyone starts Somewhere, first you learn basics of Every Scripting concept. Here you need complete Introduction to Data Science python libraries Concepts.
As we Know Azure DevOps is a Bunch of Services, in guiding Developers. It contains CI/CD, pipelines, code Repositories, Visual Reporting Tools and more code management with version control.
Python is a dynamic interrupted language which is used in wide varieties of applications. It is very interactive object oriented and high-level programming language.