Top 32 Tableau Interview Questions and Answers – Experienced and Scenario Based Questions

Tableau, an expectation to change the way of thinking and interpreting data!

Data visualization is crucial. Individuals perceive things that are outwardly well-engaging and gripping. Data visualization tools like Tableau provide pictorial and graphical portrayals of data. Tableau, the device is used within the business intelligence industry for various business applications. The tool assists individuals to grasp, analyze and report vast volumes of data. It’s numerous in-built highlights for data information without getting overpowered by the software elements. 

Time to show your dreams of changing into a Tableau Developer into reality by rehearsing Tableau Interview Questions and Answers. These inquiries are curated by our consultants which will assist you to ace your Tableau interview in a single possibility and land the best jobs as a Tableau Developer, Tableau Analyst, Tableau Solution Architect, etc.

Tableau Interview Questions and Answers

Q1. What is Tableau?

Ans. Tableau is a business intelligence software that provides intuitive pictures and handling of enormous amounts of data. The tool offers informational collection pictorially like charts and graphs. Tableau externally addresses data from totally different sources to create instinctive and shareable dashboards. 

The main pillars strength of Tableau are –

• Interactive Dashboards
• Speedy responsiveness &
• Real-time data analysis.

Q2. What are the benefits of using Tableau?

Ans. Tableau is a business intelligence software that provides intuitive pictures and handling of enormous amounts of data. The tool offers informational collection pictorially like charts and graphs. Tableau externally addresses data from totally different sources to create instinctive and shareable dashboards. 

The main pillars strength of Tableau are –

• Interactive Dashboards
• Speedy responsiveness &
• Real-time data analysis.

Q3. What are the data types supported in Tableau?

Ans. The following data types are:

• Data values
• Date and time values
• Text (string) values
• Numerical values
• Boolean values (relational only)
• Geographical values (maps are used)

Q4. What are the key options/highlights of Tableau?

Ans. The reason Tableau gained popularity is due to its attractive set of functionalities and options/highlights.

Key options/highlights :

• Data highlights and filters
• Dashboard implanting
• Drag and drop functionality
• Mobile ready dashboards
• Dashboard remaking
• Making “no-code” data queries
• Import data of all sizes
• Making directed stories
• Creating intuitive dashboards
• Metadata management
• Data notifications
• Automatic updates
• Security permissions at any level
• Range of native data connectors
• Tableau public for information sharing 
• ETL refresh

Q5. What do you understand by ‘discrete and continuous in Tableau?

Ans. Tableau represents data checking whether the sphere is discrete i.e blue or continuous i.e green.

• Discrete: severally isolated or specific
• Continuous: framing a whole without obstructions

Q6. How will you perceive dimensions and measures?

Ans. Dimensions : 

• Dimensions contain subjective qualities like names, dates, or topographical information.
• You can utilize dimensions to arrange segments and uncover the subtleties in your information.
• Examples – client ID, client name, order, order date, category, city, country

Measures : 

• Measures contain numeric quantitative qualities that you can measure like sales and profits. 
• Measures can be aggregated
• Examples – profit, amount, rank, sales, bargain per customer per, complete requests.

Q7. What are filters? Name different filters in Tableau?

Ans. Filters are the restrictions of the data that may enter the Tableau workbook, dashboard, or view. 

Various filters of Tableau are:

• Extract filters
• Context filters
• Data source filters
• Filters on measures
• Filters on dimensions
• Table computation filters

Q8. What is a Tableau Dashboard?

Ans. A dashboard is a collection of different information views. In a dashboard, you can import and add outlines, charts, and graphs from worksheets to make a dashboard.  In the dashboard, there is a better understanding of inspecting relevant outlines charts, and graphs which help in informed decision making in business. In the dashboard, various components from different worksheets can be clubbed together in a single view.

Q9. What are user functions in Tableau?

Ans. In Tableau user functions are applied to utilize client explicit channels. For instance, if you want to restrict a view to just one user you can do so by using one of the user’s functions. Commonly used user functions are – FULLNAME, USERNAME, USER DOMAIN, ISMEMBEROF, ISUSERNAME, etc. 

 Q10. What is Parameter in Tableau? Give an example.

Ans. A parameter in tableau is a dynamic value that a client could choose to supplant consistent qualities in and you can use to replace constant qualities in assessments, channels, and reference lines. 

For example – when creating a filter to show the best 20 items based on total profit rather than a fixed value, you can update the filter to show up the top 20, 30, or 40 items using a parameter. 

Q11. What are different joins in Tableau?

Ans. Joining is a technique of connecting related information on a common key. Overall there are four kinds of join that you can use in Tableau: inner, left, right, and full outer. 

Q12. What is the difference between joining and blending?

Ans. Joining the data from somewhere around two particular sources is information blending like Oracle, excel, and SQLserver. prophet, dominate, and SQLserver. In information blending, each data source contains its own game plan of measurements and measures. In data blending, every information source contains its own arrangement of dimensions and measures.

For data blending in Tableau, there are two information sources – fundamental data source and optional data source.

Merging the data within the same data sources is data joining. All of the merged tables/sheets tables/sheets contain ordinary plans of dimensions and measures.

Blending is unique in relation to making joins since blending only combines relevant data from various information sources. while joins work on a line-level and frequently duplicated information that gets rehearsed in a few columns. The two information blending and joining create a left join between two information tables.

The central matter of contrast is when accumulation happens i.e when a join is made the information is consolidated first then at that point total. While in information blending the information from fundamental and assistant sources are required freely, accumulated, consolidated, and afterward utilized for representation. The request for activities is diverse in both.

Q13. Distinguish between a live connection and an extract?

Ans. Tableau Data Extracts are previews of information upgraded for accumulation and stacked into framework memory to be immediately checked on visualization. eg. clinics that screen patients’ data need to continuously settle on convenient choices.

The live connection gives the convenience of consistent updates with any progressions in the information source reflected in Tableau. Eg. medical clinic patients’ week by week or month by month drifts that need information separated.

Q14. What is Tableau Server? Discuss its parts.

Ans. Tableau Server is a communication tool utilized in granting insights and data affiliation information association information to end customers or purchasers.

The tool is vital therefore it is intended to oversee and execute fundamental cycles.

Several parts are:

• Application server
• Gateway
• Data engine
• Repository
• VizQL server
• Backgrounder
• Search and license
• Data server

Q15. What is a calculated field? How will you produce one?

Ans. A calculated field is a field that uses existing data set fields and applies extra logic. It is utilized to make new fields from previously existing data in the data source. 

A calculated field either plays out some computation on information base fields on database fields to create a value that is indirectly stored in the database. Or, then again chooses values in data set fields dependent on some modified assembled benchmark.

How about we make a determined field with an essential estimation:

For example – your information source might contain fields with values for deals and benefits yet not revenue-driven. Nonetheless, if so then at that point you can make a determined field revenue-driven proportion utilizing information from deals and benefits fields.

Step 1: Create the calculated field

1. In an exercise manual select Analysis > Create Calculated Field.
2. The calculation editor that opens, provides a calculated field name.

Here, the calculated field is called the profit ratio. 

Step 2: Enter a formula

1. here is the equation: – 

 SUM([PROFIT])/SUM([SALES])

 To know more about creating formulas in Tableau,

See formatting calculations in Tableau,  functions in Tableau

2. When finished click OK.

The new calculated field is added to the information sheet. In case it is subjective information, it is added to measurements.

Q16. What is the distinction between Treemaps and Heatmaps?

Ans. Treemaps display a huge amount of hierarchically structured (tree-structured) data. The house within the visualizations is split up into rectangles that are measured and requested by a quantitative variable. Each set of rectangles on a similar level inside the chain of importance addresses a section in an information table. For instance,

– a rectangle addressing a continent may contain several rectangles representing countries therein the continent. Each rectangle representing a country may successfully contain rectangles representing cities in these countries. 

Heatmap is a two-dimensional portrayal of information with the assistance of colors. A heat map is not only defined by color however you can additionally use its size. Heat maps guides can be valuable in a few exercises.

 For example, the understanding of political race brings about an area or client conduct on a site.

 For instance- on account of political decision results various shades of color are produced by the guide demonstrating the areas or seats won by various gatherings. Also on account of client conduct, on-site separate tones show both successive and rare snaps on the site. Subsequently, this makes heat maps a helpful tool for information analysis.

 Q17. What is Show Me in Tableau?

Ans. The show me option in Tableau is one of the foremost vital options/ features of Tableau as it exhibits all the accessible representation in Tableau. It’s a spread of charts and graphs that we can use in our information examination in Tableau. The menu has charts like pie charts, bar graphs, horizontal bar graphs, stacked bar graphs, histograms, treemap charts, whiskers plots, area charts,  maps, and far more. The charts here get initiated the Show Me menu as per measurements and measures you settle on.

Q18. What are the different kinds of formatting operations that you can perform in Tableau?

Ans. The most important reason Tableau is far most popular

The Business Intelligence tool offers a large type of format choice on its charts and graphs. Formatting operations can be done in a few ways : 

• Formatting the axes
• Changing the font
• Formatting the shade and alignment
• Formatting the borders
• Changing the color scheme, etc.

Q19. What’s a Tableau worksheet?

Ans. A Tableau worksheet is a single read sheet that contains various visualizations. The worksheet comprises parts like shelves, cards, show me menu, filters, data, and analytics pane area to create the visualizations on. Something that you need to shape on-screen begins making a basic Tableau worksheet. You can use one or more worksheets to create workbooks, dashboards, stories, etc. 

 Q20. What is the distinction between .twbx and .twb?

Ans. The .twbx. contains all the mandatory information to fabricate the representation alongside the information source. This is known as a bundled exercise manual and it packs the bundle of documents out and out. the visualization along with the data source. The .twb  contains bearings on the most proficient method to associate with the information source.

 Q21. What do you understand about Blended Axis?

Ans. Blended Axis is used to blend two estimates that share an axis when they have a similar scale. Blended Axis in Tableau is useful to analyze two estimated values against a similar hub.

Q22. What is the use of Dual Axis in Tableau?

Ans. Dual Axis permits you to analyze measures. This is useful for examining two measures with direct scales. 

 Q23. What are bins in Tableau?

Ans. Tableau bins are analogous to containers that are of equivalent size. This gives an orderly circulation of information. Bins are useful in analyzing data providing systematic data range that assist you with getting sorted out data in a superior manner and finding designs without any problem. Bins are created utilizing a determined field in Tableau.

 Q24. What is Tableau Pivot?

Ans. It is one of the elements in Tableau that permits you to switch the rows with columns in a table. For instance, you have 4 meeting applicants and 10 inquiries are posed to every competitor.  At the point when you make a typical table to store this info you should make 10 segments for every up and corner. 

This will be oddly big. To prevent this you can pivot the fields into a table and then you have a single measure column that will store the score value for each question corresponding to each candidate instead of having 10 columns of candidate scores. This is how pivot works in Tableau. 

 Q25. What are custom data views in Tableau?

Ans. A usually utilized activity inTableau is the custom information view. The custom information view is delivered utilizing a conventional data view by rolling out a couple of improvements to it or adding advanced functionalities and parts to it. All in all, custom information views are views that address a bunch of information in various ways. You can make custom perspectives by making a drill-down measurement with predefined chains of importance. Each time you drill down to a higher level, you will find information at a substitutes level of granularity. One such method of making a custom view is by trading the situation of fields or measurements in the column/rows areas. 

 Q26. What are hierarchical fields in Tableau?

Ans. The hierarchical fields are the ones that have been arranged in hierarchies. Hierarchies organize relevant pieces of information on different levels. 

Q27. What do you understand by groups and sets in Tableau?

 Ans. Sets: sets are sets of data created by explicit conditions or standards.

Groups: groups in Tableau refer to the group of dimensions united to make the classification.

 Q28. What do you understand by forecasting in Tableau? 

Ans. Forecasting is the method involved with showing future patterns by recognizing customary examples and existing information esteems. Forecasting in Tableau depends on two parts :

Trends and Seasonality. 

A trend is an increase or decrease in data over the long run and Seasonality is a rehashing variety in qualities not set in stone or fixed time frame like weekly, quarterly, yearly, etc. These are known as seasons.

 Q29. Explain how you do report in Tableau?

Ans. Reporting is a process of collecting raw data from the information source, processing it, envisioning it using graphs, and charts and sharing them with others to get significant knowledge from information.

Q30. How can you schedule an exercise manual in Tableau after publishing it?

Ans.

1. Login to the Tableau server, go to content > information source or content > exercise manuals depending on the sort of content you need to refresh.
2. Select the checkbox for the information source or exercise manual you need to refresh, and afterward select Activities > Extract refresh. 
3. In the refresh separates exchange, select schedule a refresh and complete the following steps :

• Select the schedule you need
• On the off chance that is accessible, determine whether you need a full or gradual refresh. 

 Q31. How can you optimize the performance of a dash boards?

Ans. Methods presenting on the dashboard :

• Extend the quality of fields and records. You can disallow unused fields from your portrayal or can even use remove filters.

• Prohibit unused fields from your perception or use extricate filters.
• Utilize least or greatest rather than normal since normal capacities require more handling time than least or most extreme. 
• Utilize boolean or numerical computations assessments more than string calculation. Computers can manage entire numbers and booleans a ton speedier than strings.

Q32. How can you embed data views on website pages?

Ans. Tableau has elements to embed information views created in Tableau on website pages, web entry pages, web applications, wiki pages, web diaries, etc. The embedded information sees are initially moved to the Tableau server and their information is thus revived on the web at web entryways web at standard ranges.

To get or use Tableau data point of view or worksheets or workbooks or dashboards on the web, the clients need to have appropriate authentic approval and access consent from the Tableau server. Hence, a client who wishes to implant a Tableau view into a web page should have an authentic Tableau account. That user can give access to other web users to view the Tableau data view by using the guest user option. If we enable guest users, anyone who accesses the web page can access the Tableau information view. 

Conclusion

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