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Tableau TDS-C01 Exam Dumps & Practice Test Questions

Question 1

Which three components are contained in a Tableau Packaged Workbook file (.twbx)? (Choose three.)

A. Background graphics
B. PDF export of the workbook
C. Personalized shape files
D. Tableau Datasource Configuration (TDC) files
E. Extracted data files

Correct Answers: A, C, E

Explanation:
A Tableau Packaged Workbook file, identified by the .twbx extension, is a self-contained file designed to package a Tableau workbook along with all its necessary supporting resources. The main advantage of a .twbx file is that it simplifies sharing Tableau workbooks, especially in cases where users may not have access to the original data sources or assets used in the visualizations. The .twbx format effectively acts like a zip file that bundles everything needed to open and view a Tableau dashboard offline (as long as it doesn't require live connections).

Let’s examine each of the options:

  • A. Background graphics: Correct. Tableau supports the inclusion of custom background images, such as floor plans or geographic images, used in dashboards or worksheets for spatial analysis. These images are embedded in the .twbx file, ensuring they are available when the workbook is opened on another system.

  • B. PDF export of the workbook: Incorrect. A PDF is not included in a .twbx file. PDFs are export outputs used for reporting or printing, and while you can export a Tableau workbook as a PDF separately, the .twbx file does not contain PDF versions of the visualizations by default.

  • C. Personalized shape files: Correct. If a workbook uses custom shapes (e.g., icons, graphics) for visual encoding in charts, these are included in the packaged workbook. This ensures visual consistency when sharing the file across different environments, without needing access to the original shape directories.

  • D. Tableau Datasource Configuration (TDC) files: Incorrect. TDC files are configuration files used to customize Tableau’s connection behavior to certain data sources. They reside separately from packaged workbooks and are not embedded within .twbx files. Their purpose is more technical and relates to performance tuning or driver configuration, which does not require distribution inside a workbook.

  • E. Extracted data files: Correct. When a Tableau workbook is connected to a data extract (usually a .hyper or previously .tde file), and that extract is included in the workbook, it gets embedded into the .twbx file. This is essential for enabling offline analysis or sharing data snapshots without requiring access to the live database.

In summary, the .twbx format contains background graphics, personalized shape files, and data extracts, making A, C, and E the correct choices. These elements ensure the workbook is portable, visually intact, and functional even when disconnected from the original environment.

Question 2

When is exporting a Tableau workbook to PDF the most appropriate choice?

A. Users have Tableau Desktop but not Tableau Reader
B. You want users to interact with data via filters and sorting
C. Your analysis runs on a static data snapshot
D. You need to distribute printed versions of your workbook

Correct Answer: D

Explanation:
Exporting a Tableau workbook to PDF format is most appropriate when the goal is to share static, non-interactive versions of dashboards or worksheets. PDFs are best used for reporting purposes, especially when recipients need a visually consistent and printable version of the analysis. Because PDFs are widely supported and preserve layout and formatting, they’re ideal for distribution via email or physical media, and especially useful for presenting finalized data.

Let’s review each option:

  • A. Users have Tableau Desktop but not Tableau Reader: Incorrect. Tableau Desktop is the full version of Tableau and provides significantly more functionality than Tableau Reader. If users already have Tableau Desktop, they don’t need a PDF—they can open .twb or .twbx files directly and interact with them. A PDF is only necessary when you want to share non-editable, non-interactive content, which is not influenced by whether users have Reader or Desktop.

  • B. You want users to interact with data via filters and sorting: Incorrect. PDF exports are completely static. Once exported, users cannot interact with the content in any way—no filtering, sorting, or drill-down is possible. For interactivity, users need access to Tableau Reader, Tableau Server, or Tableau Public.

  • C. Your analysis runs on a static data snapshot: Incorrect. While a static snapshot may suggest that data won’t change, it doesn’t imply that a PDF is the best delivery method. Even static data in a .twbx file can offer interactive dashboards. Choosing PDF would only be warranted if interactivity is not required and the data just needs to be viewed or printed.

  • D. You need to distribute printed versions of your workbook: Correct. PDFs preserve the exact visual layout of Tableau dashboards and are optimized for printing. They are ideal when the goal is to share or archive non-editable, hard-copy-ready versions of a workbook, such as for board reports, executive summaries, or regulatory documentation. Tableau allows you to export entire dashboards or specific sheets as PDFs for this purpose.

Therefore, the correct answer is D, because exporting to PDF is ideal for producing and distributing print-ready, non-interactive versions of Tableau visualizations.

Question 3

Which three methods allow you to apply bold formatting to text inside a tooltip in Tableau? (Select three.)

A. Hover over a data mark and press CTRL + B
B. Hover over a mark and hit ALT + F
C. Right-click the relevant field and choose Format
D. Navigate to the Worksheet menu and select Tooltip
E. Click the Tooltip option from the Marks card
F. Open the Format menu and go to Font

Correct Answers: C, D, E

Explanation:
Tooltips in Tableau are interactive text boxes that appear when you hover over data marks. They help provide additional context, such as data values or explanations, in a visual and dynamic way. To make tooltips clearer or more impactful, you may want to apply bold formatting to specific text. Tableau supports rich text formatting within tooltips, including bold, italic, and underlining, among others.

The three correct methods that allow you to apply bold formatting to tooltip text are:

  • C (Right-click the relevant field and choose Format): This approach allows you to format the appearance of specific fields, including their default display settings, which can influence how they appear in tooltips. You can apply font styling (including bold) via the Format pane, and this affects the way the field appears when used in a tooltip.

  • D (Navigate to the Worksheet menu and select Tooltip): This method takes you directly to the tooltip editor. From the top menu in Tableau, selecting Worksheet > Tooltip opens the tooltip editor window, where you can customize the text, add dynamic fields, and apply formatting such as bold, italic, and underline using a rich-text toolbar.

  • E (Click the Tooltip option from the Marks card): This is the most direct and common method. When you select a worksheet, the Marks card allows you to edit various aspects of how data is represented. Clicking the Tooltip button here opens the tooltip editor. You can then manually highlight parts of the text and use the formatting bar to apply bold formatting.

Let’s examine the incorrect options:

  • A (Hover over a data mark and press CTRL + B): While CTRL + B is a common keyboard shortcut for bold in many text editors, this does not work directly in Tableau’s data view or on hover. Tooltips are not editable during a hover action, so no keyboard shortcut like CTRL + B is applicable in this context.

  • B (Hover over a mark and hit ALT + F): This is not a valid method to format anything in Tableau tooltips. ALT + F generally opens the File menu in most Windows applications and has no tooltip-related function in Tableau.

  • F (Open the Format menu and go to Font): This menu is used for formatting fonts in the worksheet, such as headers, axis titles, or general visual elements—not tooltip content. Changes made here do not directly affect the tooltip text formatting.

In conclusion, the methods that allow you to apply bold formatting inside tooltips are by accessing the tooltip editor through the Marks card, via the Worksheet menu, or by adjusting specific field formats through the Format option. These are represented by C, D, and E.

Question 4

What best defines a “story point” in Tableau?

A. A sequence of sheets displayed in a specific order
B. A list of talking points aligned with the dashboard
C. The panel used to set story layout dimensions
D. A single dashboard or sheet within a story

Correct Answer: D

Explanation:
In Tableau, a story is a collection of visualizations—worksheets and dashboards—that work together to convey a narrative or walkthrough of data insights. It provides a structured format for delivering context, insight, and analytical progression in a presentation-style interface. A story point, in this context, is the building block of a Tableau story.

Each story point represents a single sheet or dashboard embedded in the larger story sequence. It may also include a caption to explain what the user should notice or focus on in that specific step. Users can click through story points to move linearly through the narrative. Therefore, a story point is best defined as:

  • A snapshot of a particular stage in the analysis.

  • A single page that shows one view (worksheet or dashboard) along with descriptive text or annotations.

  • A checkpoint in the broader flow of the story that helps build the analytical narrative.

Let’s evaluate the options:

  • A (A sequence of sheets displayed in a specific order): This more accurately describes an entire story, not a story point. The story consists of multiple story points, each containing one view.

  • B (A list of talking points aligned with the dashboard): This is too vague and doesn't reflect Tableau terminology. While story points may contain "talking points" in the form of captions or explanations, the phrase “list of talking points” doesn't describe a discrete Tableau feature.

  • C (The panel used to set story layout dimensions): This describes the configuration pane in the Story interface, but it's not what a story point is. This refers more to layout controls than content.

  • D (A single dashboard or sheet within a story): This is the correct and most precise definition. Each story point encapsulates one visual element (either a sheet or dashboard) and is part of the sequential story narrative.

Therefore, the correct answer is D, as it accurately defines a story point as an individual component—either a worksheet or dashboard—within a broader Tableau story.

Question 5

Which two types of charts in Tableau allow the use of the "Shape" mark type? (Select two.)

A. Scatter charts
B. Side-by-side circle views
C. Heat maps
D. Packed bubble charts

Correct Answers: A, D

Explanation:
In Tableau, the "Shape" mark type is a visual encoding tool that allows the replacement of traditional point markers (like dots or circles) with custom or default shape icons. This is especially useful for enhancing visual communication, making data more intuitive and engaging for the audience.

Tableau enables the use of different mark types depending on the structure and layout of the chart. The "Shape" mark is most suitable for charts that plot individual data points and where differentiation between categorical values is important.

Let’s review each chart type:

  • A. Scatter charts: Correct. Scatter plots are one of the most common chart types that support the "Shape" mark. Since each data point represents a combination of two continuous variables (plotted along the X and Y axes), using shapes allows the visualization of an additional dimension (usually categorical) through shape encoding. This makes it easier to identify patterns or clusters based on that third variable.

  • B. Side-by-side circle views: Incorrect. Although these charts support "Circle" and "Color" marks, they do not support Shape marks. They are essentially a bar or dot chart variant, and Tableau restricts the mark types to those that best represent aggregated data. Shape marks are not available in these multi-bar comparative layouts.

  • C. Heat maps: Incorrect. Heat maps use color density and size to represent values in a matrix-style format. The mark types applicable here are typically Square or Text, not Shape. Using shapes in heat maps would diminish the effectiveness of the visual encoding, and Tableau doesn’t allow Shape marks in this context.

  • D. Packed bubble charts: Correct. While Packed Bubble charts default to circular representations, you can assign shapes to the marks for added visual variation. This is not always recommended (as it can get visually crowded), but Tableau does support it technically. Each bubble can represent a different category, and using Shape allows for distinction beyond just color and size.

Therefore, the chart types that allow the use of the Shape mark type are A (Scatter charts) and D (Packed bubble charts). These chart types support individual data points, where Shape encoding can meaningfully enhance the visualization without compromising readability.

Question 6

What is a correct description of how Tableau handles dashboard layouts for mobile devices?

A. Dashboards designed vertically (portrait mode) are optimal for phones
B. Device-specific layouts are preserved across all workbooks
C. Only dashboards on Tableau Online can use mobile layouts
D. Edits to one device’s layout will automatically apply to all devices

Correct Answer: A

Explanation:
Tableau provides a robust Device Designer feature that allows developers to create device-specific dashboard layouts, ensuring that visualizations look good on desktops, tablets, and phones. This is essential for responsive design and optimizing user experience across multiple platforms.

Let’s examine each option:

  • A. Dashboards designed vertically (portrait mode) are optimal for phones: Correct. Mobile phones have limited screen width and are typically used in portrait orientation, which makes vertical dashboard layouts far more user-friendly. Tableau recommends structuring mobile layouts vertically, with charts stacked top to bottom, rather than side by side. This maximizes readability and navigability on smaller screens. The Device Preview mode in Tableau Desktop also defaults to a portrait layout for phones, reinforcing this best practice.

  • B. Device-specific layouts are preserved across all workbooks: Incorrect. Device-specific layouts are unique to each individual dashboard. If you create a phone layout for one dashboard, that configuration does not carry over to other dashboards or workbooks. Each layout must be tailored manually if needed, providing full flexibility but requiring more design effort.

  • C. Only dashboards on Tableau Online can use mobile layouts: Incorrect. Mobile layouts can be created and tested in Tableau Desktop using Device Designer and can be used across all Tableau platforms, including Tableau Server, Tableau Public, and Tableau Online. The feature is not exclusive to Tableau Online.

  • D. Edits to one device’s layout will automatically apply to all devices: Incorrect. This is not how Tableau's Device Designer functions. Edits made in one device layout (e.g., phone) do not automatically propagate to other layouts (e.g., desktop or tablet). This isolation is intentional, allowing designers to optimize each layout independently. For example, a simplified version of a chart might be displayed on phones, while a more detailed one appears on desktops.

In conclusion, the correct answer is A, because vertical (portrait) dashboard designs are ideal for mobile phone viewing, and Tableau encourages this format for mobile layouts within its responsive dashboard design tools.

Question 7

What are two valid reasons for using a Tableau story in your analysis? (Choose two.)

A. To guide your audience through a narrative backed by data
B. To provide more interaction and editing options for end users
C. To facilitate easier export of dashboards into PowerPoint format
D. To organize a step-by-step analytical flow for collaboration

Correct Answers: A, D

Explanation:
In Tableau, a story is a powerful feature that allows analysts to build a sequential narrative composed of multiple story points, where each point can be a worksheet, dashboard, or another visualization. Stories help in conveying insights with context and emphasis, ensuring that the viewer not only sees the data but also understands its significance through a structured progression.

Let’s explore the two correct reasons:

  • A (To guide your audience through a narrative backed by data): This is one of the primary reasons to use Tableau stories. A story allows you to present a clear and compelling narrative, supported by data visuals at each step. With a story, you walk your audience through the logic of your analysis, making it easier to follow and more persuasive. You can include captions and highlight specific aspects of the data in each story point, ensuring your audience understands what they’re looking at and why it matters.

  • D (To organize a step-by-step analytical flow for collaboration): Tableau stories are excellent tools for presenting a step-by-step analytical process. Each story point acts as a snapshot of the analysis at a specific stage. This helps teams collaborate more effectively by presenting insights in a logical sequence. It ensures all stakeholders understand the analysis from beginning to conclusion, fostering a more informed decision-making process.

Now, let’s examine the incorrect options:

  • B (To provide more interaction and editing options for end users): This is incorrect. Stories actually limit interaction compared to dashboards. Unlike dashboards, which can include filters, parameters, and dynamic components, story points are relatively static in their interactions. The intention behind a story is to guide the user, not give them full flexibility to explore the data themselves. It’s about communication rather than exploration.

  • C (To facilitate easier export of dashboards into PowerPoint format): While you can export story points as images, Tableau does not inherently support PowerPoint export as a story feature. Users can export dashboards or stories as PDF or image files and manually insert them into PowerPoint, but that is not a function unique to stories or a primary reason to use them.

In summary, Tableau stories are designed to create a narrative from data, and they are particularly effective for communicating insights in a structured, step-by-step manner. Therefore, the correct answers are A and D.

Question 8

Which two techniques allow you to change the font style of a worksheet title in Tableau? (Select two.)

A. Use Format > Title and Caption from the top menu
B. Go to Format > Font
C. Double-click the title within the view to access formatting options
D. Right-click the title and select Format Title

Correct Answers: C, D

Explanation:
In Tableau, the worksheet title is customizable in terms of both content and formatting, including font style, size, color, alignment, and more. Changing the title's appearance helps in maintaining design consistency and improving the visual clarity of the report.

Let’s explore the two valid techniques:

  • C (Double-click the title within the view to access formatting options): This is a direct and intuitive method for modifying the worksheet title. When you double-click the title in the worksheet, a rich text editor appears, which allows you to modify the font style (e.g., bold, italic, underline), size, color, and alignment. This method also lets you insert dynamic fields or edit the title text itself.

  • D (Right-click the title and select Format Title): Right-clicking the title gives access to a context menu, from which you can select Format Title. This brings up a formatting pane on the left side of the screen, allowing you to adjust font type, size, style, and shading. It is another effective and user-friendly method for customizing title appearance.

Let’s look at the incorrect options:

  • A (Use Format > Title and Caption from the top menu): While this menu option exists, it does not allow font-specific styling of worksheet titles. Instead, it enables you to toggle the display of titles and captions on or off. It doesn’t open a formatting panel for text styling.

  • B (Go to Format > Font): The Format > Font option applies primarily to worksheet elements such as axis labels, headers, or pane text—not the worksheet title. So while you can format much of the worksheet’s text, this method does not apply to the worksheet title itself.

In summary, the two methods that allow you to change the font style of a worksheet title are C and D. These allow full control over text appearance, including size, font family, color, and formatting.

Question 9

Which three statements correctly describe how dimensions behave in Tableau? (Choose three.)

A. Dimensions store categorical or qualitative data
B. Adding dimensions increases the granularity of the view
C. Dimensions control the worksheet’s visual formatting
D. Dimensions can be treated as continuous or discrete
E. Dimensions typically hold numeric values

Correct Answers: A, B, D

Explanation:
 In Tableau, dimensions are fields that are typically qualitative rather than quantitative. They are used to slice and categorize data, adding structure to visualizations by breaking down measures into distinct groups or labels. Dimensions play a crucial role in defining the level of detail, filtering, grouping, and partitioning of data within views.

Let’s examine each option:

  • A. Dimensions store categorical or qualitative data: Correct. This is a foundational characteristic of dimensions. They often represent descriptive data, such as names (e.g., “Region,” “Category”), dates, or IDs. These fields help define the structure of a view by grouping or labeling quantitative data (measures). For example, “Sales by Region” uses the region dimension to split the sales data.

  • B. Adding dimensions increases the granularity of the view: Correct. In Tableau, when you add more dimensions to a view, you increase its granularity—that is, you break the data down into finer subsets. For example, if you're analyzing Sales by Region and add Product to the view, you're now analyzing Sales by Region and Product. Each additional dimension subdivides the data further, which can be particularly helpful for detailed analysis or spotting outliers.

  • C. Dimensions control the worksheet’s visual formatting: Incorrect. While dimensions affect the structure of the view (by defining rows, columns, colors, etc.), they do not control formatting like font styles, background colors, or gridlines. Formatting in Tableau is managed through the Format pane and chart options—not through dimensions themselves.

  • D. Dimensions can be treated as continuous or discrete: Correct. By default, dimensions are discrete, which means they are treated as distinct categories and appear as headers in visualizations. However, certain dimensions, especially date fields, can be switched to continuous. When treated as continuous, the field becomes a range or timeline, allowing you to create line charts or trend analyses over time.

  • E. Dimensions typically hold numeric values: Incorrect. While it’s possible for dimensions to contain numeric values (such as ZIP codes or product IDs), dimensions are not typically numeric in nature. Measures, on the other hand, are usually quantitative and used for aggregation (like sums or averages). Tableau determines whether a numeric field should be treated as a dimension or measure based on context and metadata, but generally, numeric fields are categorized as measures.

In summary, dimensions in Tableau are best understood as qualitative fields that categorize data, increase detail, and can be either discrete or continuous, making A, B, and D the correct answers.

Question 10

Which two of the following actions can be performed using Tableau’s “Show Me” panel? (Select two.)

A. Automatically generate a recommended chart based on selected fields
B. Add calculated fields directly to the data pane
C. Switch between different dashboard layouts
D. View chart types that are compatible with the selected data

Correct Answers: A, D

Explanation:
The "Show Me" panel in Tableau is a helpful feature designed to assist users—especially those new to Tableau—with quickly generating visualizations. It provides chart recommendations based on the data fields selected and displays the available chart types that are compatible with those selections. It's a shortcut for visualization creation, though more advanced users may prefer manually customizing their charts for greater flexibility.

Let’s evaluate each option:

  • A. Automatically generate a recommended chart based on selected fields: Correct. This is one of the core functions of the Show Me panel. When you select one or more fields in the Data pane and click a chart type in Show Me, Tableau will automatically create a new chart using the selected fields and apply the visualization type that best matches the data. If no chart type is selected manually, Tableau will default to the most appropriate one (often a bar chart or text table).

  • B. Add calculated fields directly to the data pane: Incorrect. Calculated fields are created via the Analysis menu or by right-clicking a field in the Data pane and selecting “Create Calculated Field.” This action is unrelated to the Show Me panel. Show Me does not provide a way to write or insert calculated fields.

  • C. Switch between different dashboard layouts: Incorrect. Dashboards and worksheet layouts are managed in different interfaces. The Show Me panel only applies to worksheets, not dashboards. To manage dashboard layouts or switch between device-specific designs (like phone vs. tablet), you need to use the Device Preview options under the Dashboard menu, not the Show Me panel.

  • D. View chart types that are compatible with the selected data: Correct. Another key function of Show Me is that it greys out or highlights chart types depending on the number and type of fields selected. For example, to create a scatter plot, you must select at least one dimension and two measures. Show Me will visually indicate which charts are available based on these requirements. This makes it an excellent learning tool for understanding how field combinations influence chart availability.

In conclusion, Tableau’s Show Me panel helps users by offering chart recommendations and indicating which visualizations are compatible with the currently selected fields. Therefore, the correct answers are A and D.