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Tableau Desktop Specialist Exam Dumps

TDS-C01 Exam Format | Course Contents | Course Outline | Exam Syllabus | Exam Objectives

Test Detail:
The Tableau TDS-C01 exam, also known as the Tableau Desktop Specialist exam, is a certification assessment that evaluates an individual's knowledge and skills in using Tableau Desktop for data visualization and analysis. This certification is designed for professionals who work with Tableau and want to demonstrate their proficiency in leveraging Tableau Desktop for data-driven decision making.

Course Outline:
The Tableau Desktop Specialist course provides participants with a comprehensive understanding of Tableau Desktop and its functionalities for data visualization and analysis. The following is a general outline of the key areas covered in the certification program:

1. Introduction to Tableau:
- Understanding the Tableau product suite and its key components.
- Exploring the Tableau Desktop interface and workspace.
- Connecting to data sources and understanding data types.

2. Data Preparation and Analysis:
- Importing and cleaning data in Tableau Desktop.
- Creating calculated fields and using functions.
- Applying filters, sorting, and grouping data.
- Performing data blending and joining.

3. Creating Visualizations:
- Creating basic visualizations, such as bar charts, line charts, and scatter plots.
- Using different chart types to represent data effectively.
- Applying formatting options to enhance visual appeal.
- Building interactive dashboards and stories.

4. Advanced Analytics:
- Applying advanced analytics techniques, such as forecasting and trend analysis.
- Using parameters to create interactive visualizations.
- Implementing level of detail (LOD) expressions for complex calculations.
- Creating advanced visualizations, such as maps and heat maps.

5. Sharing and Publishing:
- Saving and publishing workbooks and dashboards.
- Configuring data source refresh schedules.
- Collaborating and sharing Tableau content with others.
- Applying security and access controls.

Exam Objectives:
The Tableau TDS-C01 exam assesses candidates' knowledge and skills in using Tableau Desktop for data visualization and analysis. The exam objectives include, but are not limited to:

1. Demonstrating proficiency in connecting to data sources and preparing data for analysis.
2. Creating and customizing visualizations to effectively represent data insights.
3. Applying basic and advanced analytics techniques in Tableau.
4. Building interactive dashboards and stories for data storytelling.
5. Sharing and publishing Tableau content and applying security measures.

Syllabus:
The Tableau Desktop Specialist certification program typically includes comprehensive training provided by Tableau or authorized training partners. The syllabus provides a breakdown of the topics covered throughout the course, including specific learning objectives and milestones. The syllabus may include the following components:

- Introduction to Tableau and Tableau Desktop
- Data preparation and analysis in Tableau
- Visualization creation and customization
- Advanced analytics techniques in Tableau
- Sharing and publishing Tableau content
- Exam preparation and practice tests
- Final Tableau Desktop Specialist Certification Exam

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TDS-C01 PDF Sample Questions

TDS-C01 Sample Questions

Tableau
TDS-C01
Tableau Desktop Specialist
https://killexams.com/pass4sure/exam-detail/TDS-C01
Question: 72
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.
Reference: https://help.tableau.com/current/pro/desktop/en-us/trendlines_add.htm
Question: 73
Is SUM a table calculation?
A. Yes
B. No
Answer: B
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!
Reference: https://help.tableau.com/current/pro/desktop/en-
us/calculations_tablecalculations_definebasic_runningtotal.htm
Question: 74
Which one of the following is a dimension?
A. Longitude
B. Measure Names
C. Number of records
D. Latitude
Answer: B
Explanation:
Measure Names is a dimension. Latitude, Longitude, and Number of records are all measures.
Reference: https://help.tableau.com/current/pro/desktop/en-us/datafields_understanddatawindow.htm
Question: 75
True or False: Physical tables remain distinct (normalized), not merged in the data source whereas logical tables are
merged into a single, flat table.
A. True
B. False
Answer: B
Explanation:
In fact, the opposite of this is true.
Trick: Whenever you think of joins -> Think that after the join is created, we get 1 single flat combined (joined) table.
This flat combined table is created prior to us creating our visualizations. This happens at the physical layer.
If you ever think about relationships, know that all tables will remain distinct and separate, and relationships sit at the
logical layer. At run time, when you bring in the dimensions and measures to create your viz, Tableau very smartly
creates the necessary joins, relates the tables and sends queries to these tables to get the resultant data back in the most
meaningful way possible. This allows you to focus on using your data and revealing insights from it and focus less on
the data preparation aspect!
Refer to logical layer vs physical layer from the official
documentation: https://help.tableau.com/current/server/en-us/datasource_datamodel.htm
Question: 76
Which of the following are valid ways to show Mark Labels in the visualisation?
A. Click on the Show mark labels icon in the Toolbar
B. Drag the measure to the Text label in the Marks Card
C. Click on Data in the Menu bar and Choose Show Mark Labels
D. Click on Analysis in the Menu bar and choose Show Mark Labels
Answer: A,B,D
Explanation:
The following showcase how you can show mark labels. Using the Sample Superstore dataset:
1) Let�s create a Bar chart showing the sales for each sub-category:
2) Now you can show labels by:
Question: 77
Which of the following are interactive elements that can be added to a dashboard for users?
A. URL Action
B. Filter Action
C. Highlight Action
D. Edit Tooltip Action
Answer: A,B,C
Explanation:
We can perform filter, URL and highlight actions out of the above given choices on a dashboard.
Please refer to the image below:
Graphical user interface
Description automatically generated
Reference: https://help.tableau.com/current/pro/desktop/en-us/actions_dashboards.htm
Question: 78
Which of the following URL prefixes are permitted when creating a URL Action in Tableau?
A. SMTP
B. FTP
C. HTTPS
D. HTTP
Answer: B,C,D
Explanation:
A URL action is a hyperlink that points to a web page, file, or other web-based resource outside of Tableau. You can
use URL actions to create an email or link to additional information about your data. To customize links based on your
data, you can automatically enter field values as parameters in URLs.
Graphical user interface, text, application
Description automatically generated
Graphical user interface, application, Word
Description automatically generated
Graphical user interface, text, application
Description automatically generated
Graphical user interface, text, application
Description automatically generated
Reference: https://help.tableau.com/current/pro/desktop/en-us/actions_url.htm
Question: 79
Which of the following are the options to export the data used to build the view / visualisations?
A. CSV file
B. PDF File
C. JSON format
D. MS Access Database
Answer: A,D
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.
Graphical user interface, text, application, email
Description automatically generated
Reference: https://help.tableau.com/current/pro/desktop/en-us/save_export_data.htm
Question: 80
Suppose I have the following view.
What will be the total number of marks if I drag a new measure to the row shelf vs the column shelf?
A. If dragged to row shelf: 14 marks; If dragged to column shelf: 7 marks
B. If dragged to row shelf: 7 marks; If dragged to column shelf: 14 marks
C. If dragged to row shelf: 14 marks; If dragged to column shelf: 14 marks
D. If dragged to row shelf: 7 marks; If dragged to column shelf: 7 marks
Answer: A
Explanation:
This is a tricky question often asked in the exam.
If we drag a new measure to the row shelf, the following happens:
We now have 2 rows, and the same 7 columns for both these rows. Therefore, 2�7 = 14 marks!
Graphical user interface, chart, bar chart
Description automatically generated with medium confidence
But if we drag the same measure to the column shelf, we have just 1 row and a chart created for each of the columns.
So (1�7) = 7 marks!
Graphical user interface, text, application
Description automatically generated
Reference and notes: https://medium.com/@justindixon91/tableau-specialist-exam-notes-part-4-understanding-
tableau-concepts-f78de83fdd35
Question: 81
Which of the following is not a Trend Line Model?
A. Linear Trend Line
B. Exponential Trend Line
C. binomial Trend Line
D. Logarithmic Trend Line
Answer: C
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
Question: 82
How can you change the default Tableau repository location?
A. By clicking on Window -> Repository Location
B. By clicking on Help -> Change Repository Location
C. By clicking on File -> Repository Location and choosing a new location
D. By Moving the repository location manually to wherever we want
Answer: C
Explanation:
According to the official Tableau documentation:
Graphical user interface, text, application
Description automatically generated
Reference: https://help.tableau.com/current/pro/desktop/en-us/environ_filesandfolders.htm
Question: 83
Which of the following options best describe measures?
A. They are categorical, qualitative
B. They are categorical, quantitative
C. They are numerical, qualitative
D. They are numerical, quantitative
Answer: D
Explanation:
Data fields are made from the columns in your data source. Each field is automatically assigned a data type (such as
integer, string, date), and a role: Discrete Dimension or Continuous Measure (more common), or Continuous
Dimension or Discrete Measure (less common).
Dimensions contain qualitative values (such as names, dates, or geographical data). You can use dimensions to
categorize, segment, and reveal the details in your data. Dimensions affect the level of detail in the view.
Measures contain numeric, quantitative values that you can measure. Measures can be aggregated. When you drag a
measure into the view, Tableau applies an aggregation to that measure (by default).
Reference: https://help.tableau.com/current/pro/desktop/en-us/datafields_typesandroles.htm
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