TDS-C01 Prep Guide, Reliable TDS-C01 Exam Guide

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Tableau TDS-C01 Exam Syllabus Topics:

SectionWeightObjectives
Connecting to and Preparing Data23%- Prepare Data
  • 1. Sort and organize data
  • 2. Data Interpreter
  • 3. Data properties and metadata
- Connect to Data Sources
  • 1. Connect to files and databases
  • 2. Use extracts and live connections
  • 3. Identify connection types
Exploring and Analyzing Data37%- Analyze Data
  • 1. Create calculated fields
  • 2. Apply filters
  • 3. Use groups and hierarchies
  • 4. Use trend lines and forecasting
- Build Visualizations
  • 1. Create charts and views
  • 2. Use dimensions and measures
  • 3. Work with discrete and continuous fields
Sharing Insights25%- Dashboards and Stories
  • 1. Format and organize dashboard layouts
  • 2. Add dashboard actions
  • 3. Create dashboards
- Share Content
  • 1. Publish and share visualizations
  • 2. Export views and workbooks
  • 3. Use Tableau Reader and PDF exports
Understanding Tableau Concepts15%- Visualization Principles
  • 1. Choose appropriate chart types
  • 2. Understand Tableau terminology
  • 3. Interpret visual analytics
- Core Tableau Concepts
  • 1. Dimensions and measures
  • 2. Aggregations
  • 3. Data types
  • 4. Marks card functionality

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Tableau Desktop Specialist Sample Questions (Q137-Q142):

NEW QUESTION # 137
You have the following visualization.

Which set type is created when you select the Create Set option?

Answer: A

Explanation:
When you select Create Set from a right-click menu on specific marks in the view, Tableau creates a fixed set. A fixed set includes the specific items you selected at that moment and does not change dynamically when the underlying data changes. In contrast, dynamic sets are based on conditions that adjust as data updates. Combined sets and Top N sets require additional configuration and are not created directly from selecting marks in the view.


NEW QUESTION # 138
When using Animations in a Tableau, which of the following is the default duration for animations?

Answer: C

Explanation:
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'


NEW QUESTION # 139
You can use the __________________ in Tableau to clean / organise your data.

Answer: A

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.


NEW QUESTION # 140
Which Sub-Category had the least Profit in the Office Supplies category?

Answer: C

Explanation:
Explanation
To reach the correct answer, follow the steps below:

1) Drag Category, and sub-category to the row shelf. Drag Profit to the Column shelf
2) Click the Sort-ascending icon as shown above, to sort the profits from least to greatest as shown:
Click the 'Show mark labels icon'

As we can see, Fasteners has the least Profit in the Office Supplies Category, and hence is our correct answer!


NEW QUESTION # 141
_____________ 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:
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 # 142
......

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