- What is Data Visualization? …
- For what Tableau Server is used for? …
- what are the user roles available in the Tableau server? …
- Explain various filters in the tableau server? …
- Explain the limitations of Context filters? …
- What is meant by data blending?
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Top 50 Tableau Interview Questions and Answers to prepare for in 2022
These top tableau interview questions and answers will guide you and equip you with confidence to appear for any job interview that requires Tableau as a skill.
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1. Why do we need to convert an analysed data to visualisation?
It becomes apparent for a human brain to interpret visual inputs easily. Translating the analysed data to a visual context helps absorb new insights in a much better form.
2. Tell me the four best features of Tableau.
The four best features of Tableau are –
· Tableau allows real-time analysis of data.
· It provides advanced visualisations (different types of graphs and charts).
· Collaboration of data is possible with Tableau.
· Tableau also provides a data blending facility.
3. Which Tableau data types are preferable while dealing with structured data?
We can prefer using Text (string) values and numerical values as the two popular data types while dealing with structured data in Tableau. Tableau Desktop works best with structured data because the data remains arranged in a tabular format (in rows and columns).
4. What are Measures in Tableau?
The data that we can measure or are quantifiable comes under Measures. These are numerical metrics that remain stored in tables. They have foreign keys that refer to their interconnected dimension tables uniquely. For example, an employee table will have an employee ID, customer key, projects delivered, etc., belonging to a specific project or event.
5. What are Dimensions in Tableau? What will be the different dimensions of a web app project?
We can represent the dimensions of the various characteristics, values, and attributes descriptively for a particular project or product. The multiple dimensions of a web app project will be its project name, project type, budget, size, number of developers required, delivery date, etc.
6. When will you use geographical data type in Tableau?
We can use the geographical data type when our data contains geographic values that depend on map values having latitudes & longitudes. Tableau specifies both longitude & latitude values to each data location depending on the built-in Tableau map server already present within it.
7. What are the different products offered by Tableau?
Tableau caters to a wide range of products. The products available in the Tableau family are
8. What are discrete and continuous data in Tableau?
Tableau helps in representing data in two different forms. Data can be either discrete or continuous. Separate, individual, and distinct data comes under the category of discrete types of data. When data forms a consecutive whole with constant fluctuation and without an interruption, it is called continuous data.
9. Tell me one significant difference between continuous and discrete data of Tableau?
One significant difference benefitting data analysts and BI analysts in handling discrete data over continuous data is that data analysts can sort Discrete fields but cannot perform any sorting operations on Continuous data fields.
10. Which industries and verticals prefer heat maps over other forms of data visualisation?
Ans: Industries like marketing, defence, consumer data analysis prefer to use heat maps over other forms of representation. Heat maps are also helpful for getting visual insights on election results and analysing user behaviour on web apps.
11. In what situation will you prefer to use treemaps over heat maps?
When we have to deal with large quantitative values having hierarchically structured data, we can prefer treemaps. Each rectangular set on the same hierarchy level denotes a column of a data table.
12. Tell me the usage of Filters in Tableau. (It is a Tableau interview question on filters.)
Filters in Tableau helps to restrict the content from entering into the Tableau workbook. It is a process of separating specific values or a collection of values from a result set. Tableau caters to different types of filters like:
13. What are the different platforms from where you can pull data to process visualisation?
Tableau allows us to connect and pull data from a broad spectrum of platforms. Tableau can extract data from simple data storage systems such as MS. Excel or MS. Access and intricate database systems like Oracle. It can also pull data from cloud services like Microsoft Azure SQL database, Amazon Web services, or Google Cloud SQL.
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14. Mention all the primary components of the Tableau Server.
The primary components of Tableau Server are:
15. What are user roles in Tableau Server?
User roles in the Tableau server provide access privilege to different sensitive data. Each level and user role has its terms of accessibility of data. Tableau offers different types of user roles like
16. Can you list some limitations of context filters? (It is a Tableau interview question on filters.)
17. What is the file extension for Tableau data extract and Tableau Map source?
The file extension for Tableau data extract is .tde, and the Tableau Map source is .tms. Tableau Data Extract files are particular files that comprise a local copy of the whole dataset. It can be a subset of the source data. Tableau Map Source are specific files that contain default map-layer settings developers need to specify for their workbook.
18. Name the various operating systems on which developers can run Tableau?
Developers can run Tableau on Windows and Mac operating systems.
19. Abbreviate LOD Expression. Why do we use LOD Expressions?
We can abbreviate LOD Expression as Level of Detail Expression. Developers and BI analysts use this to execute complicated queries having multiple data dimensions at its sourcing level. LOD expressions also allow developers to determine values both from the source level and from the visualisation level.
20. How will you define the Tableau Dashboard?
Tableau dashboard is a combination of different data views. These data views are various forms of visualisations that data analysts produce using Tableau. If the BI analyst or the data analyst makes specific changes in the data, it gets directly reflected in the dashboard.
21. Is there any possibility of bringing together elements from various worksheets and placing them in a single view?
22. What are the two different ways of sorting data in Tableau?
We can sort Tableau data using manual sorting and computed sorting. In manual sorting, we drag the dimension field order and rearrange them in an ad hoc fashion. In computed sorting, we apply the sort button on an axis to sort the data.
23. Can you name the different joins available in Tableau?
Tableau joins are the same as that of SQL. These are:
24. What is the highest number of tables can you join in Tableau?
We can join 32 tables in tableau. However, the size of a table in tableau must be limited to 255 fields (columns).
25. How will you define Tableau Page shelf?
To break down a view into a sequence of pages, we use the Page shelf. Using it, developers can display an alternate representation on separate pages. Page shelf also helps in analysing the influence of each field on all of the data within a view.
26. In what situation can we use sets?
We can use sets to determine a subset of data depending on certain conditions. Sets are custom fields that rely on a computed condition. For example, a set might contain the project names having a 1 lac Rs—budget as its threshold condition.
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27. Mention some significant ways of improving Tableaus performance.
There are different ways of improving Tableaus performance. Some well-known techniques are:
28. How will you explain the disaggregation and aggregation of the data in Tableau?
Disaggregation and aggregation are two different modes used for developing or creating scatter plots. Developers use these techniques for comparing and measuring data values. Sum, average, median, count, etc., are examples of aggregation functions. In disaggregation, we perform analysis on every data source row both dependently and independently.
29. What is the significance of the Tableau Data Engine?
Tableau Data Engine is a robust Tableau feature that renders data to provide instant query responses. It also helps in achieving predictive performance and blends the output with the existing data infrastructure seamlessly. It is not an in-memory Tableau technology – that is, it hardly uses the computer RAM (primary memory). It stores all its data in the secondary memory (disk).
30. What are the different types of data we can put in a Tableau parameter?
Parameters help in customizing a program to meet any particular objective. We can put data like a string having multiple texts or a range of values. Parameter values allow a data visualization scenario to come up with different options.
31. Mention the steps for adding custom color to your Tableau project.
Implementing customized color in the Tableau project is a powerful tool of Tableau. First, save the file in .tps format. Then restart the Tableau Desktop. Navigate to the Measures pane and drag the colour you wish to add from the Color. Under the colour legend menu, choose Edit Colors. It will open a new dialogue box. Pick your desired colour from the palette drop-down list and customize the visualisation as per requirement.
32. Can we automate Tableau Reports? If yes, how?
Yes, we can automate reports in Tableau. First, we have to publish/release the Tableau report to the tableau server. At the time of publishing, there will be an option to schedule reports. In that section, we have to specify the time when we want to refresh the data.
33. List some uses of the Tableau Reporting tool.
With the help of Tableau reporting, users can witness different types of visualisations like analysing forecasts, viewing data trends, or investigating data at granular levels by slicing it as per the necessity. There are various types of reports like tables, workbooks, spreadsheets, custom dashboards, PDFs, etc.
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Beginners Level Tableau Interview Questions for Freshers
|Traditional BI Tools||Tableau|
|1. Architecture has hardware limitations.||1. Do not have dependencies.|
|2. Based on a complex set of technologies.||2. Based on Associative Search which makes it dynamic and fast|
|3. Do not support in-memory, multi-thread, multi-core computing.||3. Supports in memory when used with advanced technologies.|
|4. Has a predefined view of data.||4. Uses predictive analysis for various business operations.|
44. How to view a SQL generated by Tableau Desktop?
Tableau Desktop Log files are located in C:UsersMyDocumentsMy Tableau Repository. If we have a live connection to the data source, we need to check the log.txt and tabprotosrv.txt files. If we are using Extract, have to check the tdeserver.txt file. The tabprotosrv.txt file often shows detailed information about queries.
Related Article: What Kinds Of Tasks Can Be Done With Tabcmd In Tableau?
What is the difference between Tableau developer and Tableau admin?
- What Are the Data Types Supported in Tableau? …
- How Will You Understand Dimensions and Measures? …
- What is Meant by ‘discrete’ and ‘continuous’ in Tableau? …
- What Are the Filters? …
- There Are Three Customer Segments in the Superstore Dataset. …
- What Are the Different Joins in Tableau?
What are the important topics in Tableau?
What is Tableau admin?
- Tableau Concepts. Structure Data for Analysis. Field Types: Dimensions and Measures, Blue and Green. Data Types. Tableau’s Order of Operations. Data Aggregation in Tableau.
- Configure A Proxy with OAuth.