2026 Realistic DumpsReview TDS-C01 Dumps PDF - 100% Passing Guarantee
Free Tableau TDS-C01 Exam Questions and Answer
NEW QUESTION # 15
You have a bar chart that has a dimension on the Columns shelf and a measure on the Rows shelf.
How can you make a stacked bar chart?
- A. Drag another dimension to Color on the Marks card
- B. Drag another dimension to Size on the Marks card.
- C. Drag another measure to Color on the Marks card.
- D. Drag another measure to the left of the measure on the Rows shelf.
Answer: A
Explanation:
To create a stacked bar chart in Tableau, you can drag a second dimension to the Color shelf on the Marks card. This action will segment the bars already present in the chart by the new dimension, stacking the segments on top of each other within each bar. This is a common method to add additional layers of detail to a bar chart and effectively compare parts to a whole across categories.
NEW QUESTION # 16
By definition, Tableau displays measures over time as a ____________
- A. Bar
- B. Line
- C. Stacked Bar
- D. Packed Bubble
Answer: B
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 # 17
Which two elements can have their values changed by using a dashboard action? Choose two.
- A. Sets
- B. Bins
- C. Parameters
- D. Groups
Answer: A,C
Explanation:
In Tableau, the two elements that can have their values changed by using a dashboard action are Sets and Parameters. Dashboard actions can be configured to modify the values within a set or a parameter, allowing for interactive and dynamic changes in the visualization based on user interactions. For example, selecting a specific data point in a dashboard can trigger an action that updates a set or changes the value of a parameter, which in turn can alter the displayed data or the appearance of visualizations within the dashboard.
NEW QUESTION # 18
What are two use cases for a story? (Choose two.)
- A. Provide additional editing and interactive capabilities to your audience.
- B. Present a data narrative to lead your audience to your conclusions.
- C. Assemble a sequenced analysis to share with collaborators.
- D. To allow for easier exporting to Power Point.
Answer: B,C
Explanation:
The general rule for a story is to present a narrative for the audiences to draw the required conclusion. The story in Tableau software is no different. Another way to present a story is to gather logical analysis that flow harmoniously and share it with those who are interested in it.
NEW QUESTION # 19
When using the manage metadata option, we can create custom names for columns where _____________ is the original name of the column whereas _____________ is the custom name we created in Tableau.
- A. Remote Field Name, Field Name
- B. Local Name, Actual Name
- C. Local Field, Global Field
- D. Column Name, Actual Name
Answer: A
Explanation:
Using the Sample superstore as a reference, click on the manage metadata icon as follows:
We can rename a particular column name to make it easier to remember and use in Tableau. Let's change Order ID to oID as shown:
Now, we'll see oID when using this data source in Tableau. This WILL NOT affect the original data source. The remote field name let's us see what the name of the column is in the ORIGINAL Data source.
NEW QUESTION # 20
Which chart type uses automatically generated sizes that cannot be resized by using the Marks card?
- A. Histograms
- B. Pie charts
- C. Area charts
- D. Treemaps
Answer: D
Explanation:
In a treemap chart, Tableau automatically determines the sizes of the rectangles (or "tiles") based on the values of the measures associated with them, and these sizes cannot be manually adjusted using the Marks card. The size of each tile is proportional to the measure value, making treemaps useful for showing hierarchical data and relative sizes within a category. Other chart types like area charts, histograms, and pie charts allow for size adjustments through the Marks card.
NEW QUESTION # 21
When working with Excel, text file data, JSON file, .pdf file data, you can use _________________ to union files across folders, and worksheets across workbooks. Search is scoped to the selected connection.
- A. Pattern Search
- B. Regex Search
- C. Union Search
- D. Wildcard Search
Answer: D
Explanation:
You can use Wildcard Search to set up search criteria to automatically include tables in your union. Use the wildcard character, which is an asterisk (*), to match a sequence or pattern of characters in the Excel workbook and worksheet names, Google Sheets workbook and worksheet names, text file names, JSON file names, .pdf file names, and database table names.
When working with Excel, text file data, JSON file, .pdf file data, you can also use this method to union files across folders, and worksheets across workbooks. Search is scoped to the selected connection. The connection and the tables available in a connection are shown on the left pane of the Data source page.
NEW QUESTION # 22
Which of the following fields would be best used as Dimensions?
- A. Sales
- B. Categories
- C. Profit
- D. Names
Answer: B,D
Explanation:
Names and Categories would be mostly used as dimensions (categorical data).
Profit and measures contain quantitative data and would be more suitable for Measures!
NEW QUESTION # 23
You view the relationship canvas shown in the following exhibit.
What does Migrated Data indicate?
- A. The data was imported from Tableau Server.
- B. The workbook was created in previous version of Tableau Desktop.
- C. The data was recently saved as a packaged data source.
- D. The workbook was downloaded from Tableau Online.
Answer: B
Explanation:
In the context of Tableau, "Migrated Data" typically refers to data or workbooks that have been upgraded from a previous version of Tableau Desktop. When you open a workbook in a newer version of Tableau, the data sources within that workbook might be labeled as "Migrated Data," indicating that they have undergone a conversion process to be compatible with the new version's features and architecture.
NEW QUESTION # 24
By default, measures placed in a view are aggregated. The type of aggregation applied ______________
- A. is always COUNT
- B. depends on the context of the view
- C. is always sum
- D. is always AVERAGE
Answer: B
Explanation:
By default, measures placed in a view are aggregated. Mostly you'll notice that the aggregation is SUM, but not ALWAYS.
The type of aggregation applied varies depending on the context of the view.
NEW QUESTION # 25
How can you change the Default Aggregation for a measure in Tableau?
- A. By right clicking the dimension -> Default properties and choosing Aggregation
- B. By double clicking on the measure, and then choosing Window -> Default Aggregation
- C. By right clicking the measure -> Default properties and choosing Aggregation
- D. By changing its properties manually every time we need to use it
Answer: B
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!
NEW QUESTION # 26
Which of the following situations describe the best reason to use a union?
- A. You have two data sets with similar data types for which you want to find only distinct values.
- B. You have two tables with similarly named columns of data that you want to combine.
- C. You have two tables with differently named columns of data that you want to combine.
- D. You have two data sets saved in different formats that you want to unify into a single format.
Answer: B
Explanation:
A union in Tableau is best used when you have two or more tables with similarly named columns that you want to combine by stacking them vertically (adding rows). This is useful when you have separate tables with the same structure (e.g., monthly sales data in different files) and want to consolidate them into one table. Options involving distinct values, differently named columns, or different formats do not directly align with the purpose of a union.
NEW QUESTION # 27
When field names in the Union do not match, then:
- A. Only one field name is present in the Union with null values
- B. Both field names are present in the Union, but contain several null
- C. An error is raised and both fields are dropped from the resulting Union
- D. Only one field name is present in the Union with correct values since Tableau automatically corrects field name mismatch
Answer: B
Explanation:
values
Explanation:
By default, both field names are present in the Union, but contain several null values!
When field names in the union do not match, fields in the union contain null values. You can merge the non-matching fields into a single field using the merge option to remove the null values. When you use the merge option, the original fields are replaced by a new field that displays the first non-null value for each row in the non-matching fields.
You can also create your own calculation or, if possible, modify the underlying data to combine the non-matching fields.
For example, suppose you have the following customer purchase information stored in three tables, separated by month. The table names are "May2016," "June2016," and "July2016."
A union of these tables creates the following single table that contains all rows from all tables.
Now suppose a fourth table, "August2016", is added to the underlying data. Instead of the standard "Customer" field name, it contains an abbreviated version called "Cust."
NEW QUESTION # 28
______________ refers to the level of detail for a piece of data, wherever you are looking.
- A. Data connectivity
- B. Data Cleanliness
- C. Data LOD
- D. Data granularity
Answer: D
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.
NEW QUESTION # 29
If you are working with a huge dataset, which of the following are strong reasons to use a context filter?
- A. To make the context filter a dependent filter
- B. To include only the data of interest
- C. Improve query performance
- D. To help clean the data
Answer: B,C
Explanation:
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 (Option stating - To create a dependent filter eliminated here). 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.
For example, suppose you're in charge of breakfast products for a large grocery chain. Your task is to find the top 10 breakfast products by profitability for all stores. If the data source is very large, you can set a context filter to include only breakfast products. Then you can create a top 10 filter by profit as a dependent filter, which would process only the data that passes through the context filter.
Graphical user interface, application Description automatically generated
NEW QUESTION # 30
What is a story point in Tableau?
- A. A collection of both worksheets and dashboards
- B. A single worksheet or dashboard
- C. A collection of worksheets
- D. A collection of dashboards
Answer: B
Explanation:
In Tableau, a story is a sequence of visualizations that work together to convey information. You can create stories to tell a data narrative, provide context, demonstrate how decisions relate to outcomes, or to simply make a compelling case.
A story is a sheet, so the methods you use to create, name, and manage worksheets and dashboards also apply to stories (for more details, see Workbooks and Sheets). At the same time, a story is also a collection of sheets, arranged in a sequence. Each individual sheet (worksheet or dashboard) in a story is called a story point.
When you share a story -for example, by publishing a workbook to Tableau Public, Tableau Server, or Tableau Online-users can interact with the story to reveal new findings or ask new questions of the data.
NEW QUESTION # 31
__________ is a technique in Tableau which will identify marks with similar characteristics
- A. Clustering
- B. Sets
- C. Union
- D. Grouping
Answer: A
Explanation:
Cluster analysis partitions marks in the view into clusters, where the marks within each cluster are more similar to one another than they are to marks in other clusters.
NEW QUESTION # 32
True or False : Bins can be created on dimensions
- A. rue
- B. False
Answer: A
Explanation:
Bin are a user-defined grouping of numerical data in the data source.
According to the official Tableau documentation: It's sometimes useful to convert a continuous measure (or a numeric dimension) into bins.
Have a look at the following image. When we right click a measure, we get the following options:
However, for a dimension (this is because the DATA TYPE of this dimension is a string:
But what if we have a dimension of type NUMBER (NUMERIC DIMENSION)? See below:
We can clearly create bins from dimensions too - they just have to be numeric :) For more information, please refer to : https://help.tableau.com/current/pro/desktop/en-us/calculations_bins.htm
NEW QUESTION # 33
We can use ______________ as a static tool to open and interact with packaged workbooks with extracted data sources that have been created in Tableau Desktop.
- A. Tableau Reader
- B. Tableau Desktop
- C. Tableau Server
- D. Tableau Online
Answer: A
Explanation:
The word 'static tool' gives it away.
According to the official website :
NEW QUESTION # 34
What should you use to display data over a range of linear time, from the first point in chronological time to the last?
- A. A discrete date part
- B. The DATEPARSE date calculation
- C. A continuous date value
- D. The DATEDIFF date calculation
Answer: C
Explanation:
To display data over a range of linear time in Tableau, you should use a continuous date value.
This type of date allows you to view data from the first point to the last on a continuous axis, showing the progression of time without breaks. In contrast, a discrete date part would segment the time axis by specific intervals (e.g., months or years), and DATEDIFF and DATEPARSE are calculations used for different purposes, such as finding the difference between dates or parsing date strings, respectively.
NEW QUESTION # 35
What are three benefits of using an extract as compared to a live connection to a data source? Choose three.
- A. Calculated fields perform better in workbooks connected to extracts than in workbooks with live connections to a data source.
- B. An extract reduces the amount of data stored on a client computer as compared to a live data connection.
- C. Extracts are stored in memory (RAM), resulting in faster query performance as compared with live data connections.
- D. A live connection to a data source can be slow due to network and user traffic, whereas a connection to an extract improves performance.
- E. A live connection to a data source provides the best performance for data connections.
Answer: A,C,D
Explanation:
There are three benefits of using an extract as compared to a live connection to a data source:
A live connection to a data source can be slow due to network and user traffic, whereas a connection to an extract improves performance. An extract is a snapshot of data that is stored locally on your computer or on Tableau Server. An extract can reduce the load on the data source and speed up queries.
Extracts are stored in memory (RAM), resulting in faster query performance as compared with live data connections. When you use an extract, Tableau loads the data into memory and optimizes it for analysis. This allows Tableau to perform calculations and aggregations faster than with live connections.
Calculated fields perform better in workbooks connected to extracts than in workbooks with live connections to a data source. Calculated fields are custom fields that you create using formulas or expressions. When you use an extract, Tableau can process calculated fields more efficiently than with live connections.
NEW QUESTION # 36
_____________ contains the visualisations, info needed to build the visualisations, and a copy of the data source.
- A. Tableau Data Extract (.tde)
- B. Tableau Bookmark (.tbm)
- C. Tableau Packaged Workbook (.twbx)
- D. Tableau Workbook (.twb)
Answer: C
Explanation:
Explanation
TWBX is all in one. It contains viz, info needed to build the viz, and a copy of the data source. It doesn't contain extracts of the data but can contain both live and data extracts. Best if want to eliminate the barrier of data access.
Create a .twbx with file-based data sources
1) Select File > Save As.
2) Specify a file name for the packaged workbook in the Save As dialog box.
3)Select Tableau Packaged Workbooks on the Save as type drop-down list.
4) Click Save.
5) The default location is the Workbooks folder of the Tableau repository. However, you can save packaged workbooks to any directory you choose.
The following files are included in packaged workbooks:
--> Background images
--> Custom geocoding
--> Custom shapes
--> Local cube files
--> Microsoft Access files
--> Microsoft Excel files
--> Tableau extract files (.hyper or .tde)
--> Text files (.csv, .txt, etc.)
NEW QUESTION # 37
Suppose you have a bar chart. When we group by labels in a view, which of the following happens?
- A. The colours of the members selected are now the same, and different for the rest of the members.
- B. A new mark (bar) is created, which consolidates all members of the group.
- C. Nothing changes in the view, but a group is created in the Dimensions shelf.
- D. Trick question! It is not possible to group by labels.
Answer: B
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 # 38
True or False: A sheet cannot be used within a story directly. Either sheets should be used within a dashboard, or a dashboard should be used within a story.
- A. rue
- B. False
Answer: B
Explanation:
Explanation
It is possible in Tableau to use a sheet within a story directly.
Moreover, in Tableau, a story is a sequence of visualizations that work together to convey information. You can create stories to tell a data narrative, provide context, demonstrate how decisions relate to outcomes, or to simply make a compelling case.
At the same time, a story is also a collection of sheets, arranged in a sequence. Each individual sheet in a story is called a story point.
NEW QUESTION # 39
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