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The TDS-C01 exam covers several topics that include data connection and management, chart and graph creation, calculation and analysis, and dashboard design. The exam aims to test the candidate's knowledge of Tableau Desktop's features and functionalities and their ability to use them effectively to create impactful visualizations. The exam is ideal for individuals who want to demonstrate their proficiency in Tableau Desktop and improve their chances of being hired for Tableau-related roles.

The Tableau TDS-C01 Certification Exam is an excellent way to validate an individual's Tableau Desktop skills. It is a globally recognized certification that demonstrates the individual's proficiency in using Tableau Desktop. The certification program is designed to help individuals enhance their career prospects by providing them with the necessary skills to work with Tableau Desktop. The certification program is also ideal for organizations that want to validate their employees' Tableau Desktop skills and ensure that they are using the tool effectively.

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The Tableau TDS-C01 (Tableau Desktop Specialist) Certification Exam is a professional certification exam designed to test the competency of individuals in using Tableau Desktop. Tableau Desktop is a data visualization and business intelligence tool that enables individuals and organizations to analyze and visualize data in an intuitive and interactive manner. The certification exam is designed to test the skills and knowledge of individuals in using Tableau Desktop effectively and efficiently to create visualizations, build dashboards, and analyze data.

Tableau Desktop Specialist Sample Questions (Q195-Q200):

NEW QUESTION # 195
Data blending simulates a traditional _________________ Join

A. Inner
B. Right
C. Left
D. Full Outer

Answer: C

Explanation:
Data blending simulates a traditional left join. The main difference between the two is when the aggregation is performed. A join combines the data and then aggregates. A blend aggregates and then combines the data.
From the official website:

NEW QUESTION # 196
DOWNLOAD THE DATASET FROM: https://drive.google.com/drive/folders/1WXzqsrNmXVdmQ-574wld4InEplyKT8RP?usp=sharing (if you haven't already) Using the cwurData table, plot a Map to see which country had the Second highest number of patents in the Year 2013?

A. France
B. Canada
C. United Kingdom
D. United States

Answer: A

Explanation:
Follow along to get the correct answer:
Drag Country to the view, and then Patents to the Size Mark on the Marks shelf as follows :

2) But, this isn't all right? We need to focus on the year 2013. This can be done by using the year column as it is (continuous) in the filter shelf, or by converting it to discrete first and then using it:
2.1 As it is (continuous)

2.2 Converting to discrete first & then using it

and then :

3) We can now see that France, with 485 has the 2nd most number of patents for the year 2013

NEW QUESTION # 197
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. Column Name, Actual Name
B. Remote Field Name, Field Name
C. Local Field, Global Field
D. Local Name, Actual Name

Answer: B

Explanation:
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 # 198
What is a story point in Tableau?

A. A collection of dashboards
B. A collection of worksheets
C. A collection of both worksheets and dashboards
D. A single worksheet or dashboard

Answer: D

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 # 199
_____________ is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields.

A. Tableau Data Source (.tds)
B. Tableau Packaged Workbook (.twbx)
C. Tableau Workbook (.twb)
D. Tableau Data Extract (.tde)

Answer: D

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 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.

NEW QUESTION # 200
......

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