Latest PDF of TDS-C01: Tableau Desktop Specialist

Tableau Desktop Specialist Practice Test

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 subjects 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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Tableau
TDS-C01
Tableau Desktop Specialist
https://killexams.com/pass4sure/exam-detail/TDS-C01
Question: 51
Which of the following would you use to connect to multiple tables in a single data source at once?
1. A Blend
2. A Hierarchy
3. A Set
4. A Join
Answer: D 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.
Reference: https://help.tableau.com/current/pro/desktop/en-us/joining_tables.htm
Question: 52
True or False: LEFT JOIN returns all rows from the left table, with the matching rows in the right table
1. True
2. False
Answer: A Explanation:
Explanation This is true, indeed! The LEFT JOIN keyword returns all records from the left table (table1), and the matched records from the right table (table2). The result is NULL from the right side, if there is no match.
Reference: https://www.w3schools.com/sql/sql_join_left.asp
Question: 53
You can use the in Tableau to clean / organise your data.
1. Data cleaner
2. Data manager
3. Data interpreter
4. Data organiser
Answer: C Explanation:
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.
Reference: https://help.tableau.com/current/pro/desktop/en-us/data_interpreter.htm
Question: 54
is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields.
1. Tableau Packaged Workbook (.twbx)
2. Tableau Workbook (.twb)
3. Tableau Data Extract (.tde)
4. Tableau Data Source (.tds)
Answer: C Explanation:
Tableau Data Extract (TDE) is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields. Performance is optimised because it queries its own database engine instead of the local data source. 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.
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 Boost 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.
Question: 55
According to Tableau�s �Order of Operations�, which of the following filters is applied FIRST?
1. Dimension Filter
2. Measure Filter
3. Context Filter
4. Extract Filter
Answer: D Explanation:
According to Tableau�s order of operations, the Extract filter is right at the top of the hierarchy. The data filtered in the Extract is then passed on to what we see in the Data Pane. See below:
Reference: https://help.tableau.com/current/pro/desktop/en-us/order_of_operations.htm
Question: 56
When using Animations in a Tableau, which of the following is the default duration for animations?
1. 0.4s
2. 0.3s
3. 0.5s
4. 0.2s
Answer: B Explanation:
The LATEST Tableau Desktop Sepcialist exam blueprint now requires you to know some basics about animations as well!
NOTE: Animations are DISABLED by default and must be manually enabled.
You can also reset all settings to default by clickin on �Reset All� Reference: https://help.tableau.com/current/pro/desktop/en-us/formatting_animations.htm
Question: 57
Which of the following is a benefit of using a Tableau Data Source (.tds)?
1. To hold one or more worksheets, plus zero or more dashboards and stories.
2. To not contain the real data but rather the information necessary to connect to the real data as well as any modifications you�ve made on top of the real data such as changing default properties, creating calculated fields etc
3. To create a single zip file that contains a workbook along with any supporting local file data and background images. This is great for sharing your work with others who don�t have access to the original data.
4. To create 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 Boost performance.
Answer: B Explanation:
The following are the official definitions from the Tableau documentation for the various file types:
1). tds (Tableau Data Source) � To not contain the real data but rather the information necessary to connect to the real data as well as any modifications you�ve made on top of the real data such as changing default properties, creating calculated fields etc. (CORRECT ANSWER)
2). twbx (Tableau packaged workbook) � To create a single zip file that contains a workbook along with any supporting local file data and background images. This is great for sharing your work with others who don�t have access to the original data.
3) Extract (. hyper or .tde) C To create 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 Boost performance.
3) (.twb) Workbooks C To hold one or more worksheets, plus zero or more dashboards and stories. Reference: https://help.tableau.com/current/pro/desktop/en-us/environ_filesandfolders.htm Question: 58
Larger image
What is this entire view referred to as in Tableau?
1. Data pane
2. Analytics Pane
3. Summary Pane
4. Distribution Pane
Answer: B Explanation: Distribution Pane
This is the Analytics pane! Read more from the official documentation below:
Reference: https://help.tableau.com/current/pro/desktop/enus/environ_workspace_analytics_pane.htm
Question: 59
True or False: Bins can be created on dimensions
1. False
2. rue
Answer: B Explanation:
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/enus/calculations_bins.htm
Question: 60
Using the dataset, create a bar chart showing the average Quantity broken down by Region, and filtered by Country to only show Japan.
What was the average Quantity in the State of Tokyo? A. 3.000
B. 3.840
C. 3.704
D. 3.500
Answer: C Explanation:
Explanation Since we need to focus on 1 country -> Japan, let�s filter on it first as follows:
1. Drag Country to the filter shelf, and choose only Japan. Click OK.
2. Read the Question Carefully, we need to break down the visualisation by Region, then by Country, and then by State. So let�s do that: Drag Region to the column shelf, followed by Country. Drill down into Country to include states as well. Then drag Quantity to the Row Shelf, and change the Aggregation to AVERAGE.
The following is our visualisation:
Now that you think of it, EVEN IF YOU REMOVE THE REGION, THE ANSWER REMAINS THE SAME. Such
elements will be present in the real exam too, just to make the question sound a little difficult, but actually it is pretty straightforward

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