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Tableau TDS-C01 Exam Info and Free Practice Test Actual4test [Q110-Q129]

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Tableau TDS-C01 (Tableau Desktop Specialist) Certification Exam is an excellent program designed for professionals who want to enhance their Tableau Desktop skills. Tableau Desktop Specialist certification program provides individuals with a comprehensive understanding of Tableau Desktop and prepares them for the certification exam. With the certification, individuals can improve their career prospects and organizations can ensure that their employees are using Tableau Desktop effectively.

 

NEW QUESTION # 110
_____________ charts are typically used to represent accumulated totals over time and are the conventional way to display stacked lines.

  • A. Gantt
  • B. Bullet
  • C. Line
  • D. Area

Answer: D

Explanation:
According to the official Tableau documentation:

An example of an area chart is shown below:


NEW QUESTION # 111
To display data that has both negative and positive quantitative values, Tableau Desktop will display marks by using__________________as the default.

  • A. a diverging palette
  • B. a categorical palette
  • C. a sequential palette
  • D. the full color range

Answer: A

Explanation:
Tableau Desktop will display marks by using a diverging palette as the default to display data that has both negative and positive quantitative values. A diverging palette is a type of color palette that uses two different color ranges to show positive and negative values. For example, a red-green diverging palette uses shades of red for negative values and shades of green for positive values. A diverging palette is automatically applied when there are both negative and positive values for a measure that is placed on Color on the Marks card5 The other options are not correct types of color palettes that Tableau Desktop uses as the default for data with both negative and positive values. A full color range is not a valid term for a color palette in Tableau. A sequential palette is a type of color palette that uses different shades of one color to show variations in a single measure. A sequential palette is usually applied when there are only positive values for a measure that is placed on Color on the Marks card5 A categorical palette is a type of color palette that uses different colors to show discrete values or categories. A categorical palette is usually applied when there is a dimension that is placed on Color on the Marks card5


NEW QUESTION # 112
True or False: It is possible to add a field to more than one hierarchy

  • A. True
  • B. False

Answer: A

Explanation:
Yes! It is possible to duplicate a field and add it to more than one hierarchy. Right click and choose duplicate.


NEW QUESTION # 113
Our use case states that we need to create a set showing the Bottom 10 products by Profit in each Region.
Which of the following filter types should you apply on Region?

  • A. Context Filters
  • B. Dimension Filters
  • C. Measure Filters
  • D. Extract Filters

Answer: A

Explanation:
The beauty of context filters is that according to Tableau's Order of Operations, they are executed before Sets.
Diagram Description automatically generated

This means that based on what Region's you've selected - Tableau will first only preserve the rows for those Regions. THEN, after this it will compute the Set , i.e , Bottom 10 products in each Region.
1) First let's create a set to compute the Bottom 10 Products by Profit.

2) Next, take region on the Rows Shelf followed by the Set we just created. Drag Region and the Set to the Filters Shelf as well.

3) Now, try to only visualize the data for the South Region:

4) The problem right now is that Tableau is computing the Set first (Bottom 10 Products), and then applying the Dimension Filter - South Region and hence these values are incorrect. Note how these aren't even 10 products, but rather just 8. To fix this, simply add Region to Context:

Upon doing this, we get the correct answer as :

References: https://help.tableau.com/current/pro/desktop/en-us/order_of_operations.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_context.htm


NEW QUESTION # 114
Which of the following are valid ways to trigger actions for a Dashboard?

  • A. Click
  • B. Hover
  • C. Menu
  • D. Double click
  • E. Select

Answer: B,C,E

Explanation:
Whenever we want to add actions to a Dashboard, we can trigger then in the following 3 ways:
1) Select
2) Hover
3) Menu
Hover is best for highlighting, select for filtering. Menu action is added to the tooltip and user can decide whether to run that action or not (best for URL actions)


NEW QUESTION # 115
You create a dashboard that tracks your teams progress on various projects. On the dashboard, you want to display your company's web page. Which dashboard element should you use?

  • A. An extension
  • B. A web page object
  • C. A URL action
  • D. A navigation object

Answer: B

Explanation:
To display your company's web page on a Tableau dashboard, you should use a web page object. The web page object allows you to embed a web page within your Tableau dashboard, providing direct access to external web content.
Open your Dashboard: Start by opening the dashboard where you want to add the web page.
Add Web Page Object: In the Objects section of the dashboard pane, select the "Web Page" object and drag it onto your dashboard.
Configure URL: After placing the web page object, a dialog box will prompt you to enter the URL of the web page you want to display. Enter your company's web page URL here.
Resize and Position: Adjust the size and position of the web page object to fit your dashboard design.
Reference:
Tableau's official documentation on dashboard objects: Dashboard Objects


NEW QUESTION # 116
When should you use a relationship instead of a join for two data sets?

  • A. The data sets are in two separate tables within a single spreadsheet.
  • B. The data sets include similar data aggregated up to the highest level.
  • C. The data sets include similar data aggregated at different levels of detail.
  • D. To use both data sets across multiple sheets in a visualization.

Answer: C

Explanation:
You should use a relationship instead of a join for two data sets when the data sets include similar data aggregated at different levels of detail. A relationship is a way of combining data from different tables based on common fields without creating a single table with all fields. A relationship allows you to query data from multiple tables as needed and preserve the level of detail of each table. A relationship is useful when you have data sets that are aggregated at different levels of detail, such as sales by region and sales by product. A relationship can match data from different levels of detail without creating null values or duplicate rows. The other options are not valid situations for using a relationship instead of a join for two data sets. The data sets include similar data aggregated up to the highest level is not correct, because a relationship is not needed when both data sets have the same level of detail. You can use either a relationship or a join in this case, depending on your preference and performance. The data sets are in two separate tables within a single spreadsheet is not correct, because a relationship is not limited by the location or format of the data sets. You can use a relationship to combine data from different sources or connections, such as databases, files, or web services. To use both data sets across multiple sheets in a visualization is not correct, because a relationship does not affect how you use data in your visualization. You can use either a relationship or a join to create multiple sheets and dashboards with your data sets.


NEW QUESTION # 117
Which of the following are compelling reasons to use a Stacked Bar Chart?

  • A. To visualize each discrete category using a separate bar.
  • B. To visualize parts of a whole
  • C. To be able to visualize complex information with fewer bars /
    marks
  • D. To easily visualize trends over time

Answer: B,C

Explanation:
Stacked bar charts will usually have lesser number of bars compared to a normal bar chart:
Normal bar chart - 9 bars

Stacked Bar Chart - 3 bars

We can easily see a 'part-of-a-whole' methodology being used here as well - we are seeing the breakdown of Segments within each Category.
To easily visualize trends over time - This is the definition of a line chart.
To visualize each discrete category using a separate bar - This can be accomplished using a simple bar chart, why use a stacked one?


NEW QUESTION # 118
Which of the following are correct ways to define a join in Tableau version 2020.3 and above?

  • A. Right-click a logical table and click on open to go to the Join/Union canvas in the physical layer and add joins or unions.
  • B. Double-click a logical table to go to the Join/Union canvas in the physical layer and add joins or unions.
  • C. Double-click a physical table to go to the Join/Union canvas in the logical layer and add joins or unions.
  • D. Right-click a physical table and click on open to go to the Join/Union canvas in the logical layer and add joins or unions.

Answer: A,B

Explanation:
Remember that joins are defined in the physical layer and relationships in the logical layer.
You can still specify joins between tables in the physical layer of a data source. Double-click a logical table to go to the Join/Union canvas in the physical layer and add joins or unions.
Every top-level, logical table contains at least one physical table. Open a logical table to view, edit, or create joins between its physical tables. Right-click a logical table, and then click Open. Or, just double-click the table to open it.

When you create a data source, it has two layers. The top-level layer is the logical layer of the data source. You combine data between tables in the logical layer using relationships.
The next layer is the physical layer of the data source. You combine data between tables at the physical layer using joins. For more information, see Logical and physical tables in the data model


NEW QUESTION # 119
_________________ are a local copy of a subset or entire data set that you can use to share data with others, when you need to work offline, and improve performance.

  • A. .twb files
  • B. .twbx files
  • C. .tde files
  • D. .tbm files

Answer: C

Explanation:
Explanation
According to the official Tableau documentation:
Depending on the version the extract was created in, Tableau extract files can have either the .hyper or .tde file extension. Extract files are a local copy of a subset or entire data set that you can use to share data with others, when you need to work offline, and improve performance. For more information, see Extract Your Data.


NEW QUESTION # 120
Which of the following would you use to connect to multiple tables in a single data source at once?

  • A. A Set
  • B. A Join
  • C. A Hierarchy
  • D. A Blend

Answer: B

Explanation:
The data that you analyze in Tableau is often made up of a collection of tables that are related by specific fields (that is, columns). Joining is a method for combining data on based on those common fields. The result of combining data using a join is a virtual table that is typically extended horizontally by adding columns of data.
For example, consider the following two tables originating from a single data source:

We can combine these 2 tables, simply by joining the tables on ID to answer questions like, "How much was paid in royalties for authors from a given publisher?". By combining tables using a join, you can view and use related data from different tables in your analysis.


NEW QUESTION # 121
By definition, Tableau displays measures over time as a ____________

  • A. Stacked Bar
  • B. Packed Bubble
  • C. Line
  • D. Bar

Answer: C

Explanation:
Line charts connect individual data points in a view. They provide a simple way to visualize a sequence of values and are useful when you want to see trends over time, or to forecast future values.
Please refer to the images below:


NEW QUESTION # 122
If you see a Blue field, generally it will add _____________ to the view

  • A. none
  • B. axis
  • C. headers
  • D. both

Answer: C

Explanation:
Important question!


NEW QUESTION # 123
Larger image

What is this entire view referred to as in Tableau?

  • A. Summary Pane
  • B. Analytics Pane
  • C. Data pane
  • D. Distribution Pane

Answer: B

Explanation:
Explanation
Distribution Pane
Explanation
This is the Analytics pane! Read more from the official documentation below:


NEW QUESTION # 124
True or False: Trend lines can only be used with numeric or date fields

  • A. True
  • B. False

Answer: A

Explanation:
You can show trend lines in a visualization to highlight trends in your data.
To add trend lines to a view, both axes must contain a field that can be interpreted as a number. For example, you cannot add a trend line to a view that has the Product Category dimension, which contains strings, on the Columns shelf and the Profit measure on the Rows shelf.
However, you can add a trend line to a view of sales over time because both sales and time can be interpreted as numeric values.


NEW QUESTION # 125
Suppose you have a bar chart. When we group by labels in a view, which of the following happens?

  • A. Nothing changes in the view, but a group is created in the Dimensions shelf.
  • B. The colours of the members selected are now the same, and different for the rest of the members.
  • C. Trick question! It is not possible to group by labels.
  • D. A new mark (bar) is created, which consolidates all members of the group.

Answer: D

Explanation:
*Very important question*
If we select the labels in the view and then group, a new consolidated mark is created - in our case bar since we are talking about a bar chart in the question. See below:

Then on grouping, a new bar is created, and the colour of all bars remain the same.

Had we grouped by choosing the marks instead of the labels, the following would be the result:


NEW QUESTION # 126
True or False: All rows from both tables are returned in an INNER JOIN

  • A. True
  • B. False

Answer: B

Explanation:
The INNER JOIN keyword selects all rows from both tables as long as there is a match between the columns. Consider 2 tables "Orders" and "Customers".
If there are records in the "Orders" table that do not have matches in "Customers", these orders will not be shown!


NEW QUESTION # 127
Is it possible to make a Measure discrete?

  • A. No
  • B. Yes

Answer: B

Explanation:
Explanation
Of course! Follow along:
Right click on any measure, and choose Discrete as shown:

Once you do this, the green pill becomes blue in colour, indicating that it is now Discrete!


NEW QUESTION # 128
Which of the following would you use to connect to multiple tables in a single data source at once?

  • A. A Set
  • B. A Join
  • C. A Hierarchy
  • D. A Blend

Answer: B

Explanation:
Explanation
The data that you analyze in Tableau is often made up of a collection of tables that are related by specific fields (that is, columns). Joining is a method for combining data on based on those common fields. The result of combining data using a join is a virtual table that is typically extended horizontally by adding columns of data.
For example, consider the following two tables originating from a single data source:

We can combine these 2 tables, simply by joining the tables on ID to answer questions like, "How much was paid in royalties for authors from a given publisher?". By combining tables using a join, you can view and use related data from different tables in your analysis.


NEW QUESTION # 129
......

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