2022 Latest Tableau Desktop-Specialist Real Exam Dumps PDF [Q27-Q41]

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2022 Latest Tableau Desktop-Specialist Real Exam Dumps PDF

Desktop-Specialist Exam Dumps, Desktop-Specialist Practice Test Questions

How to Prepare For Tableau Desktop-Specialist: Tableau Desktop Specialist Exam

Preparation Guide for Tableau Desktop-Specialist: Tableau Desktop Specialist Exam

Introduction

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Tableau Certification validates cloud experience in order to improve demand skills and develop creative, successful teams for Tableau cloud projects. If you are a cloud specialist or a transferor from on-site solutions, this qualification provides you with a strong foundation to develop your cloud infrastructure skills and trains you for more advanced aspects of Tableau.

This guide offers a comprehensive description of Tableau Solutions Architect Technical qualification including different criteria for evaluation, examination style, subjects addressed, examination issues and approaches for training, and a target audience profile. Therefore, we design a range of Tableau Desktop-Specialist exam dumps pdf when knowing the student requirements. Our subjects, such as the study guide, help students complete exams.

NO.27 How can you change the Default Aggregation for a measure in Tableau?

By changing its properties manually every time we need to use it

By right clicking the dimension -> Default properties and choosing Aggregation

By right clicking the measure -> Default properties and choosing Aggregation

By double clicking on the measure, and then choosing Window -> Default Aggregation

Explanation
According to the official Tableau documentation:

Dimensions don’t have aggregation properties, and adding properties manually each time defeats the whole DEFAULT aggregation purpose. Window tab doesn’t have any default aggregation option!

NO.28 Is SUM a table calculation?

Yes

Explanation
SUM is an aggregate function, not a table calculation!
A table calculation is a transformation you apply to the values in a visualization. Table calculations are a special type of calculated field that computes on the local data in Tableau. They are calculated based on what is currently in the visualization and do not consider any measures or dimensions that are filtered out of the visualization.
The most common Table calculations are:
Running Total
Percent Difference
Difference
Percent of Total
Rank
Percentile

These can be calculated using : Table(across), Cell, or Specific dimensions!

NO.29 Is it possible to deploy a URL action on a dashboard object to open a Web Page within a dashboard rather than opening the system’s web browser?

YES, we can do this with the help of a plugin

NO, this is not currently possible in Tableau

YES, we can do this with the help of a Web-Page object

YES, we can do this with the help of Tableau Public

Explanation
To interactively display information from the web INSIDE a dashboard, you can use a URL action with a web page object.
For example, you might have a dashboard that shows profits by country. In addition to showing the profit data in your dashboard, you also want to display supplemental information about the countries from a web site.

NO.30 Which of the following charts types always includes bars sorted in descending order?

Pareto Chart

Pie Chart

Gantt Chart

Stacked Bar Chart

Explanation
A Pareto chart is a type of chart that contains both bars and a line graph, where individual values are represented in descending order by bars, and the ascending cumulative total is represented by the line.
On the primary axis, bars are used to show the raw quantities for each dimension member, sorted in descending order.
On the secondary axis, a line graph is used to show the cumulative total in percent format.

NO.31 What is the minimum amount of RAM recommended for any production use of Tableau Server?

8GB

16GB

32GB

64GB

Explanation
The computer on which you are installing or upgrading Tableau Server must meet the minimum hardware requirements. If the Setup program determines that your computer does not meet the following requirements, you will not be able to install Tableau Server.
These minimum requirements are appropriate for a computer that you use for prototyping and testing of Tableau Server. They apply to single-node installations and to each computer in a distributed installation.

NO.32 Given a map, which of the following fields can be placed in Size,Shape,Detail,Color

Profit, State, Number of Records, Sales

Region, Country, Profit, State

Longitude, Country, State, Sales

Sales, State, Country, Profit

Explanation
Since Sales is a measure, it can easily be depicted via size.
To drill down and change the level of detail, Country is the correct choice since it will contain STATE. We can then depict the various states by different shapes such as circle, square etc.
Finally, the Profit can be depicted via a color! Eg – Red for poor and green for excellent profits!

NO.33 ______________ refers to the level of detail for a piece of data, wherever you are looking.

Data Cleanliness

Data granularity

Data connectivity

Data LOD

Explanation
Data is generated and analyzed at many different levels of granularity. Granularity is the level of detail of the data. For example, when looking at graduation data, granularity would describe whether a row in the data set represents a single person or the graduating class of a university.

NO.34 Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment. For the Electronics assortment, which Month had the most NEGATIVE value of Year over Year Growth?
Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment. For the Electronics assortment, which Month had the most NEGATIVE value of Year over Year Growth?

October

September

July

June

Explanation
Follow along:
1) Drag Assortment and Year ID (choose Discrete Month) to Columns shelf, and Sales to the Columns Shelf.
For sales, click on the pill -> choose Quick Table calculation -> Year over Year growth.
The view should now look like:

It is clear that October with -55.3% had the lowest Year on Year growth.

NO.35 When you want to first apply a filter and THEN show the Top N or Bottom N elements, which of the following filters would you use?

Data source Filter

Extract Filter

Context Filter

None of the these

Explanation
IMPORTANT QUESTION, PAY ATTENTION
By default, all filters that you set in Tableau are computed independently. That is, each filter accesses all rows in your data source without regard to other filters. However, you can set one or more categorical filters as context filters for the view. You can think of a context filter as being an independent filter. Any other filters that you set are defined as dependent filters because they process only the data that passes through the context filter.
You may create a context filter to:
1) Improve performance – If you set a lot of filters or have a large data source, the queries can be slow. You can set one or more context filters to improve performance.
2) Create a dependent numerical or top N filter – You can set a context filter to include only the data of interest, and then set a numerical or a top N filter.

NO.36 Broadly speaking, when users connect to Tableau, the data fields in their data set are automatically assigned a
____________ and a ____________.

role, type

Data type, Value

type, role

dimension, measure

Explanation
When users connect to Tableau, the data fields in their data set are automatically assigned a role and a type.
Role can be of the following two types:
1) Dimension
2) Measure
Type can be of the following :
1) String
2) Number
3) Geographic
4) Boolean
5) Date
6) Date and Time

NO.37 True or False: LEFT JOIN returns all rows from the left table, with the matching rows in the right table

True

False

Explanation
This is true, indeed!
The LEFT JOIN keyword returns all records from the left table (table1), and the matched records from the right table (table2). The result is NULL from the right side, if there is no match.

NO.38 Which of the following are valid ways of Grouping Data?

Using Marks in the view

Using Labels in the View

From the Analytics Pane

From the Dimensions Shelf

Explanation
**IMPORTANT QUESTION AND EXPLANATION, PLEASE READ**
3 ways to group data –
1) Marks
2) Labels
3) Dimensions shelf.
*IMPORTANT*
If we Group the data by selecting the marks, then they remain separate marks in the view and then have the same colour. Also, a new group is created in the Dimensions shelf. Example – Using the sample superstore dataset, first plot a bar chart showing sales for each sub-category:

Here, if we Select Phones, Chairs and Storage by selecting the MARKS (Bars), and then group them:

They remain seperate marks (BARS) but are grouped by the same colour.
Now, if we didn’t do this, and rather grouped by selecting their Labels (Names):

Then they no longer remain separate Marks (bars) but are rather consolidated into a single Bar:

Finally, we can group directly from the Dimensions shelf as follows:

Now choose Phones, Chairs and Storage and Click Group:

You will now automatically have a new Dimension as follows:

NO.39 The calculation [Ship Date] – [Order Date] will return _______________

Number of orders placed in that duration

Number of days between these dates

Number of unique orders placed between these dates

Number of orders shipped between these dates

Explanation
As the names suggest, if we subtract the order date from the shipping date, we simply get the number of days between these 2 dates.
We can these use this calculated field in our charts, and can use COUNT, SUM, AVG etc with them according to our need.

NO.40 You can use the __________________ in Tableau to clean / organise your data.

Data cleaner

Data manager

Data interpreter

Data organiser

Explanation
When you track data in Excel spreadsheets, you create them with the human interface in mind. To make your spreadsheets easy to read, you might include things like titles, stacked headers, notes, maybe empty rows and columns to add white space, and you probably have multiple tabs of data too.
When you want to analyze this data in Tableau, these aesthetically pleasing attributes make it very difficult for Tableau to interpret your data. That’s where Data Interpreter can help.

NO.41 Skipped Join the Geo Data and Time Series Table on the Item Number ID column, and display the Store count for every State on a Map. What was the Store count in 2017 for Texas (TX)?
Join the Geo Data and Time Series Table on the Item Number ID column, and display the Store count for every State on a Map. What was the Store count in 2017 for Texas (TX)?

592,593

293,202

416,702

336,908

Explanation
Since you need BOTH State and the YEAR, we need to use an Inner Join.
Follow the steps below:

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2022 Latest Tableau Desktop-Specialist Real Exam Dumps PDF [Q27-Q41]