Top 30 Tableau Interview Questions & Answers
Updated on Jan 09, 2024 | 11 min read | 5.8k views
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Updated on Jan 09, 2024 | 11 min read | 5.8k views
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Data is considered one of a business’s most crucial aspects. One of the best tools for gathering and analysing data in a business environment is Tableau, which provides interactive, data-based displays. The growth of data-centric corporate processes has increased the demand for Tableau specialists.
Therefore, we bring you a list of the top 30 Tableau interview questions and their answers to help you crack your next Tableau interview!
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Here is a list containing the top tableau interview questions for beginners –
Tableau is a Business Intelligence tool that allows anybody to connect to their individual data, visualise it, and build dynamic, shared dashboards. Any Excel user can easily learn it since it is simple, but it can also handle even the most challenging analytical situations.
A visually appealing and engaging method of representing data is called data visualisation. Technology improvements have led to a rise in the variety of business intelligence tools, which aid users in comprehending all kinds of data, including data points, data sets, charts, and graphs, so they may concentrate on the results rather than the tool itself.
Yes, the main difference between Business Intelligence tools and Tableau is speed and efficiency. Here are a few other points that make these two different.
Business Intelligence Tool | Tableau |
There are hardware limitations in its architecture. | It does not have any limitations or dependencies. |
These are traditional tools that work on complex technology. | It makes it dynamic by using straightforward associative search. |
It does not handle multi-thread, multi-core computing, or in-memory. | It supports multi-thread, multi-core computing, and in-memory after integrating technology. |
It has a pre-defined data view. | It does predictive analysis. |
The term “parameter” refers to a variable (numbers, date, or string) used in computations, filters, or reference lines in place of a constant value.
For example, you can create a field that will return true if its sales are more than 20,000 and false if they are not. During calculations, the particular values are replaced by parameters, or you may change the value of computations by using parameters. Here are the choices for possible values for parameters –
Each field in a new source of data will either be mapped as a measure or a dimension in Tableau once we connect to it. The columns specified in the data source correspond to these fields. Each field is given a role and a data type (integer, string, etc.).
Mathematical operations that accept several inputs and produce a single output are called aggregations. These operations include sum, average, count, and others. You may design aggregating dimensions and measurements in Tableau. Every time you add a measure to your view, an aggregate is automatically applied to that measure. Depending on the view’s context, a certain form of aggregate may be utilised.
The most common forms of aggregate used are – Sum, Median, and Average.
Here are the different Tableau products –
Using desktop software, it is possible to build optimal searches from images of the data. Tableau Desktop builds an interactive display by incorporating data from many sources into its data engine.
Tableau servers assist in distributing published dashboards around the enterprise once you have published them using Tableau Desktop.
You may open and explore data visualisations using the free Tableau Reader desktop application. You can dig down the data or filter it, but you aren’t allowed to alter any formula or do anything else.
By storing your data visualisations on Tableau Server as worksheets or workbooks, you can use Tableau Public, another free feature, to see them.
Although it is a premium feature, Tableau online does not need exclusive installation. It is used to spread published dashboards worldwide and is included in the programme.
(This is one of the most frequently asked questions for Tableau beginners.)
The main objective of Tableau is to make data more visible and understandable. Tableau’s software solutions provide users with access to the power of data, enabling a large group of corporate users to interact with their data, ask questions, find solutions to issues, and generate value.
(This question is frequently asked to beginner-level Tableau developers.)
A filter limits irrelevant information and only display what the user specifically requests. There are mainly three types of filters available in Tableau –
There are two ways connections can be made with a dataset –
The formats of Tableau and SQL are very similar. Therefore, the Join types for both are also similar –
Left Join | All the data from the left table are combined with the equivalent matches from its right table using a left join. |
Right Join | All the data from the right side of the table and matching entries from the left table are combined in a right join. |
Inner Join | The table with values that match both tables is combined via an inner join. When a value is inconsistent across the two tables, it is completely discarded. |
Full Outer Join | All of the values of both tables are combined in a full outer join. You will see a null value within that grid whenever a value from one of the tables does not match a value from the other table. |
Sets are unique fields that define a subset of data in line with certain requirements. A set could be predicated on a calculated factor, such as clients with sales over a certain threshold. Computed sets are updated as the data changes.
By using dimensions, we can show greater memberships in our groups. Each group might design its own field for classifying values in that particular dimension.
For example, you might want to group particular majors together to form categories if you are working with a view that displays average test results by major.
In Tableau, data digging is accomplished via a hierarchical field. It requires looking at your data in depth.
A Tableau Data Server contains and manages database connections and data extracts, which can be safely accessed and shared with other users.
Here is a list of questions generally asked at the intermediate level –
When merging data from one source with numerous tables, sheets, or any other sources, data joining is helpful.
Contrarily, data blending is the mixing of information from two or more separate sources like SQL servers, Oracle, Excel, and others.
The Tableau Data Engine is one of Tableau’s most cutting-edge features. Its analytical database was developed to offer a quick response to the user, predictive performance, simple integration into the present data architecture, and similar characteristics. It is not limited to loading whole data sets into memory.
Yes, you can very easily create a calculated field in Tableau. Here are the steps to achieve it –
Comparing categories based on size and colour can be achieved with a heat map.
On the other hand, a tree map is considered a particularly strong visualisation since it can be used to show part-to-whole connections and hierarchical data.
Tableau’s implementation relies heavily on performance testing. A load generation tool developed for QA, TabJolt, can be used to test Tableau Server.
In Tableau, adding a custom colour is a power tool.
TDE, which ends in .tde, is a Tableau desktop file. It relates to a file that has data that has been taken from another source, such as a CSV file, MS Excel, or MS Access.
Yes, relational joins can be made in Tableau without using a new table.
You must publish reports to the Tableau server. During publishing, you will discover a scheduling option. You just choose the time you want to refresh the data, and the automation of reports is complete.
A story is a worksheet that consists of several pages or dashboards that work together to show information. Stories may be used to present a compelling argument, provide context, show how actions affect outcomes, or simply link the facts.
Here is a list of questions generally asked at the expert level in the field.
Continuous | Discrete |
We may view the data as a continuous whole, thanks to continuous fields. Tableau creates axes when continuous fields are used. | We may divide our data into separate, distinct, or exclusive components thanks to discrete fields. Tableau creates headers and labels when we utilise discrete fields. |
The study of datasets utilised in business or other contexts, as well as the discovery of the connections between these data objects, constitute data modelling. This is the first step in writing object-oriented code.
The amount of rows in the table has no bearing on Tableau. Because Tableau just fetches the rows and columns, it may access petabytes of data.
Bins in Tableau are identical-sized containers used to store data values that fit within the bin’s boundaries. In other words, bins separate the data into equal-sized groups so it can be examined methodically.
The process through which one class acquires property from another is known as inheritance. There are two types of classes –
Hybrid inheritance in C++ is the blending of several inheritance structures, such as multiple, simple, and hierarchical inheritances.
One class is descended from a single base class in simple inheritance. A class is descended from two classes in multiple inheritances, where one of the parents is itself a descended class. A single base class can produce several derived classes thanks to hierarchical inheritance. This is also known as a multilevel inheritance in c++.
Knowing your way through the fundamental and advanced aspects of Tableau can substantially boost your chances of success in a Tableau interview. We hope our list of the most commonly asked questions will help you prepare for the big day!
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