[Q44-Q67] Positive Aspects of ValidExamDumps TDS-C01 Exam Dumps! [Sep-2026]

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Positive Aspects of Valid Dumps TDS-C01 Exam Dumps! [Sep-2026]

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Tableau TDS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Connecting to & Preparing Data	25%	– Prepare and transform data 1. Combine data with joins, unions, blends 2. Customize fields: type, alias, discrete/continuous 3. Shape data: filter, group, aggregate – Connect to data sources 1. Live connections and extracts 2. Save and use .TDS files 3. Use Data Interpreter, pivot, split
Sharing Insights & Building Dashboards	25%	– Create stories 1. Combine visualizations into stories – Build interactive dashboards 1. Add sheets, filters, actions, parameters 2. Design for different devices – Publish and share content 1. Export: image, PDF, PowerPoint 2. Publish to Tableau Server / Online / Public
Exploring & Analyzing Data	35%	– Create basic visualizations 1. Charts: bar, line, scatter, map, dual-axis 2. Tables: crosstab, highlight table – Create calculations 1. Level of Detail (LOD) expressions 2. Basic calculations: string, date, math, logic – Use filters, sets, groups 1. Filter by dimension, measure, date, context 2. Create and use sets and groups
Understanding Tableau Concepts	15%	– Tableau file types and structure – Dimensions vs Measures, Discrete vs Continuous – Data types and roles

NO.44 True or False: We get different colour pallete options if we drop a discrete field on “Color” in the marks card compared to if we drop a continous field on Color.

False

True

Yes! We get different color palettes. They are:
*From the official Tableau documentation*

To change the color for a value
1) Click on an item on the left, under Select Data Item.
2) Click a new color in the palette on the right. In Tableau Desktop you can hover over a swatch to identify the color.
3) Repeat for as many values that you want to change.
4) In Tableau Desktop, click OK to exit the Edit Colors dialog box. In Tableau Server or Tableau Online, simply close the dialog box.
AND

NO.45 Which of the following is not a Trend Line Model?

Linear Trend Line

Exponential Trend Line

binomial Trend Line

Logarithmic Trend Line

Explanation
According to the official Tableau documentation, there are 5 types of trend lines which we can work with in Tableau :
1) Linear Trend Line
2) Logarithmic Trend Line
3) Exponential Trend Line
4) Polynomial Trend Line
5) Power Model
Hence, the correct answer is BINOMIAL trend line which is not present in Tableau.
See the following image:

For more information, refer to: https://help.tableau.com/current/pro/desktop/en-us/trendlines_add.htm

NO.46 You need to uniformly change the size for all marks in a view.
What should you do?

Select Label on the Marks card and then select Alignment.

Use the Fit dropdown menu on the toolbar.

Select Format on the menu, and then select Cell Size.

Select Size on the Marks card and use the slider to adjust the size

You should select Size on the Marks card and use the slider to adjust the size to uniformly change the size for all marks in a view. The Size property on the Marks card allows you to control the size of marks in the view by moving the slider to the left or right. The Size slider affects different marks in different ways, such as making them bigger or smaller, wider or narrower, or thicker or thinner1 The other options are not valid ways to uniformly change the size for all marks in a view. Selecting Label on the Marks card and then selecting Alignment will allow you to change the position of labels on marks, not the size of marks2 Using the Fit dropdown menu on the toolbar will allow you to change how the view fits within the worksheet, not the size of marks3 Selecting Format on the menu, and then selecting Cell Size will allow you to change the height and width of cells in a text table, not the size of marks in other types of views4

NO.47 Which of the following are the options to export the data used to build the view / visualisations?

CSV file

PDF File

JSON format

MS Access Database

Explanation
You can export the data in a Tableau data source, including all or part of the records from your original data.
Alternatively, you can export only the portion of data used to generate the view.
Since the question mentions the data used to build the view, we’ll focus on that :
*Export data in the view to Microsoft Access or .csv*
Export the data that is used to generate the view as an Access database (Windows only) or .csv file (Mac only).
1) In Tableau Desktop, select Worksheet > Export > Data.
2) Select a location and type a name for your Access database or .csv file.
3) Click Save.
4) If you’re on Windows, the Export Data to Access dialog box displays to give you the option to immediately use the new Access database and continue working in Access without interrupting your work flow.

NO.48 Relationships are represented by __________________ and operate at the ____________________.

noodles, logical layer

noodles, physical layer

Venn diagrams, physical layer

Venn diagrams, logical layer

From the official documentation:
The default view that you first see in the Data Source page canvas is the logical layer of the data source. You combine data in the logical layer using relationships (or noodles).

NO.49 You can _______________ your data to combine two or more tables by appending values (rows) from one table to another

join

blend

concatenate

union

You can union your data to combine two or more tables by appending values (rows) from one table to another. To union your data in Tableau data source, the tables must come from the same connection.
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.

NO.50 You may create a context filter to:

To create a dependent filter

Improve performance

To replace a data source filter

Create a dependent numerical or top N filter

Important question! You cannot use a context filter to replace a data source filter since each filter type has its own use case. Also, a content filter is an Independent filter and all other filters are called dependent since they only process the data that passes through a context filter.
According to the official documentation :

NO.51 True or False: When you drag additional tables to the logical layer canvas, Tableau automatically attempts to create the relationship based on existing key constraints and matching fields to define the relationship. If it can’t determine the matching fields, then relating these tables is not possible.

True

False

Graphical user interface, application Description automatically generated

Tables that you drag to the logical layer of the Data Source page canvas must be related to each other. When you drag additional tables to the logical layer canvas, Tableau automatically attempts to create the relationship based on existing key constraints and matching fields to define the relationship. If it can’t determine the matching fields, you will need to select them.
If no constraints are detected, a Many-to-many relationship is created and referential integrity is set to Some records match. These default settings are a safe choice and provide the most a lot of flexibility for your data source.

NO.52 What are three options to change the scope of a reference line? (Choose three.)

Maximum

Entire Table

Per Pane

Fill Above

Per Cell

When adding a reference line in Tableau, you can adjust its scope to control where it applies within the view. The options Entire Table, Per Pane, and Per Cell allow you to specify whether the reference line spans the entire table, applies individually within each pane, or is specific to each cell. Options like Maximum and Fill Above are not related to the scope of a reference line; Maximum is a type of aggregation, and Fill Above is a formatting choice.

NO.53 In Tree maps, the size begins with the largest rectangle on the ________________ and the smallest rectangle on the ________________.

top left bottom left

top right, bottom right

top left, bottom right

top right, bottom left

Explanation
Tree maps size begins from maximum in top left to smallest in bottom right.

See below to learn how to create a TreeMap and add colours to it:

NO.54 When using a Blend, what is the color of tick-mark on the primary and secondary data sources respectively?

Red, Blue

Orange, Blue

Blue, Red

Blue, Orange

When using a Blend, the primary data source appears with a BLUE tick-mark and the secondary data source appears with a ORANGE tick-mark.
See below:

NO.55 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.

Tableau Reader

Tableau Online

Tableau Server

Tableau Desktop

The word ‘static tool’ gives it away.
According to the official website :

NO.56 What is the minimum amount of RAM recommended for any production use of Tableau Server?

8GB

16GB

32GB

64GB

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.57 What will the following function return?
LEFT(“Tableau”, 3)

An error

Tab

eau

ble

Explanation
The following is the official documentation for the String function LEFT:

NO.58 Which of the following are benefits of using Data Extracts in Tableau?

Improved Performance

Ability to use the data offline

Working with freshest data at all times

Faster to work with

Extracts are advantageous for several reasons:
1) Supports large data sets: You can create extracts that contain billions of rows of data.
2) Fast to create: If you’re working with large data sets, creating and working with extracts can be faster than working with the original data.
3) Help improve performance: When you interact with views that use extract data sources, you generally experience better performance than when interacting with views based on connections to the original data.
4) Support additional functionality: Extracts allow you to take advantage of Tableau functionality that’s not available or supported by the original data, such as the ability to compute Count Distinct.
5) Provide offline access to your data: Extracts allow you to save and work with the data locally when the original data is not available. For example, when you are traveling.
To work with the MOST up-do-date data, use a live connection instead!

NO.59

You clicked Sheet 1 from the data source page, and now you have opened the Tableau Desktop workspace as shown above. What is the main thing that you do here?

Clean the data

Preview the data

Create visualisations to analyze your data

Rename the fields and change data types

The Tableau workspace consists of menus, a toolbar, the Data pane, cards and shelves, and one or more sheets.
Sheets can be worksheets, dashboards, or stories. For details on dashboard or story workspaces, see Create a Dashboard or The Story Workspace.
Graphical user interface, application Description automatically generated

The main thing you do in the workspace is to create visualisations to analyze your data.
Renaming data fields, cleaning the data, previewing the data can all be done in the Data source window.

NO.60 Yes or No: The number of marks will increase when you increase the number of Dimensions in a view

Yes

Of course! As an example, see below:
1) Using the Sample Superstore data, let’s plot a bar chart showing the Sales for each Category:

Observe that we have 3 marks – Each bar in a bar chart is called a mark. Similarly, each point in a scatter plot is also a mark , and so on for all charts.
1 row by 3 columns means that clearly on the y-axis (Sales), we have only a single mark – a single continous axis, but 3 different marks (Technology, Furniture and Office supplies ) on the x-axis.
2) Now let’s add subcategory to the view as well (another dimension):

Observe that the number of marks has increased – i.e the number of Bars.
Also, notice we now have 1 row and 17 columns. Simply because 1 row = Sales (on the y-axis), and on the x-axis, we have 17 different columns (i.e product sub categories!!)

NO.61 Create a Set containing Customer Names whose Sales are GREATER than 30,000. Which customer had the LEAST sales in this set?

Tom Ashbrook

Sanjit Engle

Penelope Sewall

Tamara Chand

As the question mentions, we need to create a SET with the following conditions -> Choose only those customers whose Sales > 30,000
1) Right click on customer name –> Create –> Set

2) Let’s Name the Set – Customer>30k ( you can name it anything you want 🙂 ) Select USE ALL, and then move to the CONDITION TAB:

3) In the Condition Tab, Choose BY FIELD -> Select Sales -> Sum -> Greater than 30000 , and click OK

4) You should now have a new Set in the Data Pane as follows:

5) Drag this set to the rows shelf, and click on SHOW MEMBERS IN SET. Now drag Sales to the Column Shelf.

6) Click on the Show Mark Labels, and Sort ascending icons as shown:

7) Voila! We have our answer:
c

NO.62 You can use the __________________ in Tableau to clean / organise your data.

Data cleaner

Data manager

Data interpreter

Data organiser

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.63 Which type of chart can you create without using a dimension?

Stacked bar

Highlight table

Bar

Treemap

Bar charts in Tableau do not require a dimension to be created. You can create a bar chart using only a measure; this will produce a single bar that represents the aggregate of the measure values, such as the sum or average of sales.

NO.64 Which of the following is true about ‘Incremental refresh’ when creating Extracts in Tableau?

It only adds rows that are new since the previous refresh.

There is no difference, both are the same when using extracts. They are different when using live connections.

It replaces all of the contents in the extract

They can only be used with large datasets

Extracts are saved subsets of data that you can use to improve performance or to take advantage of Tableau functionality not available or supported in your original data. When you create an extract of your data, you can reduce the total amount of data by using filters and configuring other limits. After you create an extract, you can refresh it with data from the original data.
When refreshing the data, you have the option to either do a full refresh, which replaces all of the contents in the extract, or you can do an incremental refresh, which only adds rows that are new since the previous refresh.

NO.65 What does it imply if a field has a blue background?

It is continuous

It is discrete

It is a dimension

It is a measure

When you connect to a new data source, Tableau assigns each field in the data source as dimension or measure in the Data pane, depending on the type of data the field contains. You use these fields to build views of your data.

NO.66 True or False: Context Filters are executed after Data Source filters

True

False

Explanation
THIS IS A VERY IMPORTANT QUESTION
To answer this question, you need to understand Tableau’s Order of Operations. See below and remember this always:

NO.67 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

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.