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Tableau TDS-C01 (Tableau Desktop Specialist) Certification Exam is a certification program designed for individuals who want to demonstrate their proficiency in using Tableau Desktop. TDS-C01 exam is designed to test the candidate's knowledge and skills in creating, manipulating, and visualizing data using Tableau Desktop. Tableau Desktop Specialist certification is recognized globally and is a valuable asset for individuals who want to pursue a career in data analysis, business intelligence, and data visualization.
Here is the overview of the detailed information, shared in the TDS-C01 exam dumps:
Time Duration: 60 minutes
Exam Type: Multiple Choice
Languages: English
The passing score: 75%
Number of Questions: 45 questions
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The Tableau TDS-C01 exam covers a range of topics such as data connections, data preparation, calculations, visualizations, and dashboards. The TDS-C01 exam is a computer-based test that consists of 30 multiple-choice and multiple-response questions. The time limit for the exam is 60 minutes, and a passing score of 70% is required to earn the certification. TDS-C01 Exam can be taken online or in-person at a testing center, and it costs $100 to register for the exam. Once you pass the TDS-C01 exam, you will earn the Tableau Desktop Specialist certification, which is a great addition to your resume and can help you advance your career in data analytics and visualization.
NEW QUESTION # 118
Which two types of fields appear blue? (Choose two.)
Answer: A,C
Explanation:
You'll see that all discrete fields are blue.
NEW QUESTION # 119
True or False: A sheet cannot be used within a story directly. Either sheets should be used within a dashboard, or a dashboard should be used within a story.
Answer: B
Explanation:
Explanation
It is possible in Tableau to use a sheet within a story directly.
Moreover, 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.
At the same time, a story is also a collection of sheets, arranged in a sequence. Each individual sheet in a story is called a story point.
NEW QUESTION # 120
What is the following icon in the Data pane used to do?
Larger image
Answer: A
Explanation:
Explanation
View Data allows you to inspect your data in a spreadsheet-like layout. You can view data either for the data source as a whole, or to see the underlying data for an individual mark or a group of marks. In a worksheet, the rows that you see in the View Data window are always scoped to the current selection or the current view.
The View Data window displays as much of the data as possible by default, up to 10,000 rows. Field names are shown as column headers and can be dragged and dropped to change their display order. Click a column header to sort the values in that column.
From the official website:
NEW QUESTION # 121
Which three statements accurately describes the capabilities of dashboard actions? Choose three.
Answer: A,B,E
Explanation:
Dashboard actions in Tableau are interactive elements that can be used to create a more dynamic experience.
These actions can be set to filter data on the dashboard, highlight specific elements, or even direct the user to a URL when interacting with a visualization. They can be triggered by user interaction such as hover, selection, or accessing a context menu. Moreover, dashboard actions can have multiple source sheets (where the action originates) and target sheets (where the action takes effect), allowing for a complex interactivity between different parts of the dashboard.
NEW QUESTION # 122
_____________ is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields.
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 # 123
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