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<h1>Top 10 Tableau Interview Questions</h1>
<p>&nbsp;</p>
<p><img src="https://sklc-tinymce-2021.s3.amazonaws.com/comp/2022/11/69 (1)_1669299347.png" alt="" width="514" height="514" /></p>
<p><span style="font-weight: 400;">Technical knowledge and practical experience alone cannot help you to land your dream job. You must possess the confidence and skill to present yourself in an interview.</span></p>
<p>Practice these Tableau interview questions and their responses to make your aspirations of being a Tableau developer a reality.</p>
<p>Our specialists have carefully selected these Tableau interview questions and answers to help you succeed in your Tableau interview and land the finest positions as a Tableau Developer, Tableau Solution Architect, Tableau Analyst, etc.</p>
<p>We'll cover the critical Tableau developer interview questions and solutions in this article so you can polish your skills.</p>
<h2><strong>List of 10 Frequently Encountered Tableau Advanced Interview Questions&nbsp;</strong></h2>
<p>We suggest you go through these Tableau interview questions for experienced professionals to grab a more accurate idea of what type of questions you may face in the technical rounds.</p>
<h3><strong>1) Explain the design flow in Tableau.</strong></h3>
<p><span style="font-weight: 400;">Tableau's design or logic flow is as follows:</span></p>
<ul>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Utilising the Tableau connectors to establish a connection to the data source.</span></li>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Create data views by making visualisations such as graphs and charts.</span></li>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Using cutting-edge Tableau techniques to enhance the data visualisations.</span></li>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">Creating various worksheets that allow us to have many data perspectives from the same or distinct data.</span></li>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">In addition to spreadsheets, we can build dashboards that gather various pertinent data views into a single view for reporting.</span></li>
<li style="font-weight: 400;" aria-level="1"><span style="font-weight: 400;">We may even develop tales to more effectively communicate the language of data using these dashboards or spreadsheets.</span></li>
</ul>
<h3><strong>2) What is precisely the Tableau Dashboard?</strong></h3>
<ul>
<li><span style="font-weight: 400;">A dashboard is an assortment of many data perspectives.</span></li>
<li>We generate several visualisations on Tableau using various data views. We can combine multiple elements from numerous worksheets into a single view on a dashboard.</li>
<li>We can import worksheet charts and graphs into a dashboard and add them.</li>
<li>Additionally, we can arrange pertinent graphs and charts in one view on a dashboard, analyse them for deeper insights, and use those insights to make better business decisions.</li>
</ul>
<h3><strong>3) Define data blending and consequently explain how it differs from joins.</strong></h3>
<ul>
<li><span style="font-weight: 400;">The data blending process combines data from two independent data sources into a single Tableau worksheet or view.</span></li>
<li>Tableau has two data sources for data blending: a primary data source and a secondary data source.</li>
<li>A blended table is displayed after the pertinent data from the secondary data source is combined with the key data from the original data source.</li>
<li>Unlike joining, which works on a row level and frequently duplicates data that repeats in several rows, blending merely integrates pertinent material from various data sources.</li>
<li>A left join is also produced between two data tables by both data blending and joining.</li>
<li>However, the primary distinction is in the order of the aggregation steps; when a join is established, the data is joined first and then aggregated.</li>
<li>Data from primary and secondary data sources are independently queried, aggregated, combined, and then used for visualisation in data blending. As a result, both have different orders of operations.</li>
</ul>
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<h3><strong>4) What are custom data views, and how to make them in Tableau?</strong></h3>
<ul>
<li><span style="font-weight: 400;">Users can alter Tableau's custom data views to suit their analysis. A custom data view is created by modifying a standard data view or adding cutting-edge functionalities and features.</span></li>
<li>Custom views use various representations to display data. They are different interpretations of the same underlying data that tell a distinct narrative in each view.</li>
<li>You can create a custom view by creating a drill-down dimension with preset hierarchies. In this instance, the data's granularity level will change as you dig down to the next level.</li>
<li>Simply switching the order of the fields or dimensions in the Columns or Rows sections is another method for making a custom view.</li>
<li>We can view our data differently by switching the positions of the dimensions.</li>
</ul>
<h3><strong>5) Can custom territories be generated using a map?</strong></h3>
<ul>
<li><span style="font-weight: 400;">Yes, by combining already existing places or territories on a map, we can construct bespoke territories.</span></li>
<li>We employ custom territories in Tableau as a new geographic cluster field without changing the pre-existing geographic fields.</li>
<li>For example, we have sales for Manchester, Liverpool, London, Leeds, and Southampton on a map of England, we can combine them into a single sales territory to create a bespoke environment.</li>
</ul>
<h3><strong>6) What is Tableau&rsquo;s Quick Sorting Feature?</strong></h3>
<ul>
<li><span style="font-weight: 400;">We can Quick Sort the data in our visualisations using Tableau.</span></li>
<li>By selecting the sort button on the axes of a graph or chart, we may rapidly sort data from the visualisation.</li>
<li>On the Quick Sort icon, an applied sort is cleared after three clicks, an ascending sort is performed after one click, and a descending sort is executed after two clicks.</li>
</ul>
<h3><strong>7) Briefly explain Tableau shelves&nbsp;</strong></h3>
<ul>
<li><span style="font-weight: 400;">On a Tableau spreadsheet, the Shelves are designated spaces with predetermined uses.</span></li>
<li>A Tableau sheet has several shelves, including the Page shelf, Filter shelf, Marks shelf, Rows and Column shelf.</li>
<li>You can use the specific functionality or purpose that each shelf has been given to further your analysis.</li>
</ul>
<h3><strong>8) What is your take on Power BI vs Tableau?</strong></h3>
<ul>
<li><span style="font-weight: 400;">Utilising Power BI is simple. With less data, it operates more quickly and effectively. Power BI commonly needs to catch up when handling massive data.</span></li>
<li>Tableau can process enormous amounts of data quickly. It is quicker and offers a wide range of tools for data visualisation. Tableau provides a 360-degree perspective of your data by allowing an unlimited amount of data points in visualisation and enforcing no row or size restrictions.</li>
</ul>
<h3><strong>9) Point out the differences between a Reference band and Bollinger bands.</strong></h3>
<ul>
<li><span style="font-weight: 400;">These bands are shaded regions on a chart that display the points within a specific reference area. We must decide on a range for the reference band. So, using a reference band, we can establish a reference range and examine the data points within it.</span></li>
<li>Bollinger bands are distinct charts that offer a more focused perspective than reference bands.</li>
<li>These bands examine a financial commodity's or instrument's prices and how they change over time. Bollinger bands can also display a moving average over time.</li>
</ul>
<h3><strong>10) What are dimension filters? How can we apply them?</strong></h3>
<ul>
<li><span style="font-weight: 400;">Specific dimensions included in the Dimensions section of a Tableau sheet are the focus of dimension filters.</span></li>
<li>By dragging and dropping the field onto the Filter card on the sheet, we can quickly apply dimension filters to the dimension fields.</li>
</ul>
<h4><strong>Conclusion&nbsp;</strong></h4>
<p>In this article, we've covered ten frequently asked interview questions from technical Tableau interviews and some other crucial subjects often encountered by those who learn Tableau. You can review your technical and fundamental skills with the aid of this. Skill-Lync offers a <a href="https://bit.ly/3AJ4Dqu">PG program on Data Science </a>where you learn eight tools, including Tableau and PowerBI. Also, eligible students will undergo placement training (Mock interview, resume building &amp; portfolio building) sessions. To know more about the course, talk to our experts.</p>

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Technical knowledge and practical experience alone cannot help you to land your dream job. You must possess the confidence and skill to present yourself in an interview.

Top 10 Tableau Interview Questions | Interview Questions and Answers That You Should Know

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