Tableau Interview Questions and Answers
In the world of business intelligence (BI), Tableau is one of the most widely used tools. This blog’s most recent Tableau interview questions and answers will be helpful for both freshers and working professionals to ace job interviews easily. Read through this list of frequently asked interview questions for Tableau before attending any technical interviews.
Utilizing this Tableau tool has simplified the process of data analysis and product-market fit evaluation. It comes with some built-in functions for data exploration without being overrun by software features. In these Tableau Interview Questions, you can find yourself confident and satisfied as we cover everything from scratch.
Tableau Interview Questions For Freshers
1. What is Tableau in Data Visualization?
A business intelligence tool called Tableau enables the interactive visualization and management of massive volumes of data. Businesses all across the world utilize it to crunch numbers and apply the insights for expansion and improvement. Tableau simplifies and generates interactive, shareable dashboards by compressing the raw data into a relatively simple manner, and there are no technical or programming prerequisites for learning tableau.
2. What are the features of Tableau?
Tableau has three primary features:
Data blending: Tableau’s data blending tool is crucial. When combining relevant data from many data sources that you wish to examine in a single view and portray as a graph, it is employed.
Real-time analysis: When the Velocity is high and real-time analysis of data is complex, real-time analysis enables users to swiftly understand and evaluate dynamic data. Tableau’s dynamic analytics can assist in gleaning useful insights from rapidly changing data.
Data Collaboration: Analyzing data is not a solitary endeavor. Tableau is designed for collaboration because of this. Members of the team can distribute data, conduct follow-up research, and provide simple visualizations to those who could benefit from the information. Success depends on ensuring that everyone can grasp the data and make informed decisions.
3. What are the various data types of Tableau?
There are 7 data types in Tableau and they are Boolean to define true or false, date to denote individual value, date and time, geography, text and string, decimal number, and whole number.
5. What are the top five products that Tableau offers?
The full cycle of self-service analytics, including preparation, analysis, sharing, and data management at each stage, is supported by Tableau’s solutions. The Tableau platform includes every feature. Tableau provides five main items such as Tableau Desktop, Tableau Server, Tableau Online, Tableau Reader, and Tableau Public.
6. How Tableau differs from other BI tools?
The efficiency and speed of Tableau are significantly different from typical BI solutions.
- Hardware limitations are part of the architecture of traditional BI products. Despite the fact that Tableau has no dependencies of any type
- Tableau’s dynamic functionality is accomplished via simple associative search, in contrast to the complicated technologies used by most BI products.
- Tableau, after integrating challenging technologies, handles multithreading, in-memory, and multi-core computing, which traditional business intelligence (BI) solutions cannot.
- Tableau offers a predictive analysis when it comes to business operations, whereas conventional BI systems only provide a predefined data view.
7. What is a parameter in Tableau?
The term “parameter” refers to a variable (numbers, strings, or data) used in calculations, filters, or reference lines to substitute a constant value. You might, for instance, design a field that returns true when sales exceed 30,000 and false otherwise. During calculations, these values (30000 in this case) are dynamically replaced by parameters. You can dynamically change the values of a calculation by using parameters. The following choices are possible values for the parameters:
All: basic text field
List: A selection of potential values
Range: Choose values from the given range.
8. State the latest version of Tableau Desktop
Tableau Desktop 2022.4 Released Dec 14, 2022
9. Explain Measures and Dimensions in Tableau
A distinct dataset in Tableau is defined by its Measures and Dimensions.
Measures are quantifiable data amounts that are compared to dimensions. A single string, which is constrained by dimensions, can contain any number of additional measures. For instance, the inventory of an online store may include the overall quantity of items, their pricing, the number of items historically sold, the manner of payment, etc. These are all regarded as measures. However, dimensions are essentially descriptions that make visualization possible. They enable the user to give various interpretations of a single metric. All of these descriptors are contained in a dimension table.
10. What are filters in Tableau? How many different kinds of filters does Tableau offer?
A filter limits irrelevant info and only displays what the user specifically requests. In Tableau, there are essentially three categories of filters:
- Extract filters
- Data source filters
- Context filters
- Filters on dimensions
- Filters on measures
11. List some of the popular terms of Tableau
A tableau is a powerful tool for data visualizations, thus it has a lot of special terms and phrases. Before using the Tableau features, it is best to become familiar with their meaning. The complete list of terms that follows defines the terms that are used the most frequently.
- Alias for an alternate name that can be assigned to a field
- Bin for user-defined grouping of measures
- Bookmarks like browser bookmarks
- The calculated field for creating a formula
- Crosstab for a text table view
- Dashboard for comparing and monitoring data
- Data pane for displaying the fields of data sources
- Data source page for setting up the data source we use
- Dimension for mentioning a field of categorized data
- Extract for displaying a saved subset of data source
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12 In Tableau, what do groups mean?
Dimensions are used to establish groups to show greater memberships. To classify values in that particular dimension, groups can design their own fields.
13. What do shelves mean?
Columns, rows, markings, filters, pages, and other named elements, collectively known as shelves, are found in Tableau workbooks. To build visualizations, boost the degree of detail, or provide context, you can arrange fields on shelves.
14. What is Tableau’s data blending?
Viewing and evaluating data from various sources in one location is known as data mixing. Data mixing involves two different types of data sources: primary and secondary.
15. What is data aggregation in Tableau?
Displaying the measures and dimensions in an aggregated form is known as data aggregation. The following are the aggregate functions offered by the Tableau tool:
- SUM (expression): Computes the sum of all values in the expression. only applied to numerical values.
- AVG (expression): Calculates the average of all the values in the expression using the function AVG. only applied to numerical values.
- Median (expression): Calculates the median of all the values across all the records used in the expression, or median (expression). only applied to numerical values.
- Count (expression): Returns the total number of values in the collection of expressions. Has no null values.
- Count (distinct): Returns the total number of distinct values in the collection of expressions.
In truth, Tableau allows you to change the aggregation type for a view.
16. What kinds of joins does Tableau support?
SQL and Tableau are quite comparable. As a result, Tableau’s join types are compatible:
- Obtains all the data from the left table and the corresponding rows from the right table using a left outer join.
- Extracts all the data from the right table and the corresponding rows from the left table using a right outer join.
- Extracts the data from the left and right tables via a full outer join. Rows that don’t match receive the value NULL.
- Extracts the data from both tables via an inner join.
Tableau Interview Questions For Intermediate
1. How to handle load testing using Tableau?
To determine the server’s capability regarding the environment, data, workload, and utilization, Tableau does load testing. Because usage, data, and workload fluctuate with each new user, upgrade, or piece of content created, it is ideal to carry out load testing at least three to four times every year. Tableau created Tabjolt to enable point-and-run loading and performance testing particularly for Tableau servers.
- It automates the loading of custom loads
- It decreases reliance on script creation and maintenance
- It is simply boosting the number of nodes in the cluster, it scales linearly as the load increases.
2. Explain Data Engine in Tableau
A database for analytical purposes computes immediate query results, server prediction analysis, and integrated data. When you need to build, renew, or query extracts, the data engine will be helpful. It is also used to apply cross-database joins.
3. How do dual axes work in Tableau?
In the same graph, two different metrics are evaluated at two separate scales using dual axes. With two independent axes stacked one on top of the other, this permits you to compare several attributes on a single graph.
Drag the field to the right side of the display and drop it when you notice a black dashed line appears to add a measure as a dual-axis. The measure on the Columns or Rows shelf can also be selected by right-clicking (or control-clicking on a Mac) and choosing Dual Axis.
4. Explain the TDE file in Tableau.
TDE is a Tableau desktop file, and its file extension is.tde. It alludes to a file that contains data that was extracted from other sources, such as MS Access, CSV files, or MS Excel.
TDE files are excellent for assisting analytics and data discovery due to two factors.
- A columnar store is TDE.
- TDE makes use of every component of the computer’s memory, from RAM to the hard drive, and employs each one according to its strengths.
5. Can users be able to view a dashboard or worksheet that was published on the server if their license expires today, for example?
We won’t be able to access the dashboard or worksheet if your Tableau Desktop license expires today since the server’s username will become unlicensed. However, since the site administrator can transfer ownership to another individual, others can access it, and the extracts continue to work.
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6. How will you create a stacked bar chart in Tableau?
The steps listed below can be used to build a stacked bar chart:
- Add a dimension to the column shelf.
- On the marks card, fill in the “Measure Names.”
- Right-click “Measure Names” to add a filter, then check the boxes to make the measures appear on the screen.
- To convert the chart type to a bar in a marked card, move “Measure Values” to the rows shelf.
- Your stacked bar chart is complete; at this point, you can play about with its size and color scheme.
7. When should we use cycle fields in Tableau?
Cycle fields make it easy to cycle through and test out various color schemes or views. Cycle fields can only be used if we have a chart that supports several measures, such as a stacked bar chart, and we are unable to finalize the visualizations. Cycle fields can be used by selecting cycle fields from the analysis option in the toolbar to quickly view an alternative depiction.
8. How can Tableau be integrated with a website?
9. How do I add my logo to my dashboard in Tableau?
An option to import an image can be found in the dashboard’s objects pane. Make sure you’ve chosen the floating kind rather than the tiled choice, which is the default. Drag and drop an image object on the dashboard, then choose a .jpg, .png, or .jpeg-formatted version of your system’s logo. Utilizing the small drop-down menu on the right side of the image, the user can choose to send the image to the back and then enlarge it to transform it into a watermark logo.
10. How do you clean data in Tableau?
The top or bottom of a data file may occasionally include a description. The data as it is won’t be understandable by Tableau. You must activate the data interpreter, which is located in the left panel, after connecting to the data file. Without having any impact on the file from which the data is being used, it will eliminate the undesired rows from the data source in Tableau.
Tableau Interview Questions For Experienced
1. What does assuming referential integrity mean in Tableau?
When you are certain that two data sources have the same references in a column, you should assume referential integrity. Then you may do a join on two data sources by using the presumed referential integrity functionality to specify the relationship between both data sources. Drop a second table next to the first table to implement referential integrity. Then, when you are asked to match a column to execute a join, choose the reference column, and Tableau will complete the join based on the reference and kind of join you specified.
2. How can longitude and latitude be generated in Tableau?
In Tableau, generating longitude and latitude is pretty simple. The locations will be automatically plotted on the map by tableau when you drag and drop nations, states, cities, or any other geographical field into the display. Next, right-click on all the data points you’ve chosen and choose “View Data.” The generated longitude and latitude are displayed in front of the relevant country name on the view data tab. The data in Tableau can also be exported for usage in other programs or even in different data sources.
3. Without using the Context Filter, how may cascading filters be created?
Imagine having Filter1 and Filter2. On the data, Filter2 must be applied based on Filter1. Take Filter1 to represent a “Country” and Filter2 to represent “States.”
- When “India” and the “Country” are taken into account, Filter 2 should only show the states of India.
- Select Filter2 options that state:
- Choose “Only relevant values” from the menu.
4. Create a map view that, when a user chooses a state, the revenue and sales figures for the cities in that state are displayed.
One must first have State, City, Sales, and Profit fields in their dataset if they want to display the sales and profit of every city within the states in the same worksheet.
- First, Double-click just on the State field.
- Drop City into the Marks card, which lies beneath the State field, by dragging it there.
- Drop Sales into Size after dragging.
- Drag Profit into Color and drop
- To make the size larger (75%), select Size Legend.
- Show Quick filter by performing a right-click on the State field.
- Choose any state, then verify that you have the desired view.
- Here, the view size represents the volume of sales, and the color represents the profit margins.
5. How can we view a SQL that Tableau Desktop created?
Files related to Tableau Desktop can be found under C: Users\MyDocuments\My Tableau Repository. Check the files log.txt and tabprotosrv.txt if you have a live connection to the data source. One must examine the tdeserver.txt file if they are using Extract. Frequently, the tabprotosrv.txt file contains thorough information regarding queries.
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6. Demonstrate the interaction between Tableau and R.
Popular open-source statistical analysis software is called R. Tableau Desktop can now use R functions, libraries, packages, and even stored models by connecting to R via calculated fields. Through the reserve package, these calculations dynamically invoke the R engine and pass values to R before returning them to Tableau.
- Anyone can view a dashboard with R capabilities by configuring Tableau Server to connect to an instance of Rserve using the tabadmin utility.
- One may incorporate in-depth statistical analysis into drag-and-drop visual analytics by combining R with Tableau.
7. How can views be added to websites?
To embed views and change the default appearance, do the following:
- Obtain the embed code from the view: An embed code can be copied from the Share button at the top of each view and inserted on a website. If the showShareOptions argument in the code is set to false, the Share button will not show up in embedded views.
- Adapt the embed code: With the help of parameters, the toolbar, tabs, and other features can all be adjusted in the embed code.
8. How can SQL performance for developed dashboards be managed to improve?
If there is a SQL issue after creating dashboards in Tableau, it means Custom SQL. It is preferable to utilize SQL commands to create a view inside of the database, then link that to Tableau, rather than utilizing custom SQL connections in Tableau. This will simplify the process without encumbering it with the rest of the SQL, which is created by Tableau without the custom SQL subquery.
9. How can filled maps be made?
Step 1: Build a map view by double-clicking on a geographic field like “State,” “Area Code,” “Zip Code,” etc.
Step 2: The automated mark type will display this type of view as circles over a map; choose the filled map mark type instead. To color the geographical regions, choose Filled Map from the Marks card.
Step 3: Drag an area to the Color shelf and then choose the color scheme for the locations by dragging a second field to the Color shelf.
10. Explaining the steps for Measuring Daily Profit Using LOD Calculated?
Using LOD expressions, we can quickly create bins on aggregated data, such as profit per day.
The overall profit per business day is how we plan to gauge our success.
Add the following formula to a calculated field called LOD – Profit per day:
FIXED [Order Date]: SUM ([Profit])
Add the following formula to a new calculated field called LOD – Daily Profit KPI.
Now, IF [LOD – Profit per day] > 2000 then “Highly Profitable.”
ELSEIF [LOD – Profit per day] <= 0 then “Unprofitable”
The steps for creating the visualization are as follows: To calculate the daily profit measure using LOD:
- You need to put YEAR(Order Date) and MONTH(Order Date) on the Columns shelf.
- To the Rows shelf, drag the Order Id field. Measure it by performing a right-clicking on it and choosing Count (Distinct)
- To the Rows shelf, drag LOD – Daily Profit KPI.
- Bring LOD – Daily Profit KPI to the marks card and switch the automatic to area mark type.
For beginners, intermediates, and experienced professionals, the frequently asked Tableau Interview Questions and Answers have been provided in this article. Explore them to strengthen your interview skills. In our blog, we constantly update our Tableau interview questions. Stay in contact. Enroll in our Tableau Course at SLA to conquer interviews with confidence.