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Tableau TDS-C01 Exam Syllabus Topics:

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

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최신 Tableau Desktop Specialist TDS-C01 무료샘플문제 (Q81-Q86):

질문 # 81
Which of the following are valid ways to export a dashboard with multiple visualisations as an image?

정답：C

설명：
Only 1 option is correct -
Click on Dashboard in the Menu bar followed by Copy Image

Right click on the dashboard, and choose Copy, then image - Try doing this, you will end up copying just one of the worksheets not the entire dashboard Click on Worksheet in the Menu bar followed by Export, then choose Image - Again, try doing this. You will end up copying just one of the worksheets not the entire dashboard Using the floating export worksheet option on the Dashboard - No such option exists


질문 # 82
Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment. For the Electronics assortment, which Month had the most NEGATIVE value of Year over Year Growth?
Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment. For the Electronics assortment, which Month had the most NEGATIVE value of Year over Year Growth?

정답：D

설명：
Follow along:
1) Drag Assortment and Year ID (choose Discrete Month) to Columns shelf, and Sales to the Columns Shelf.
For sales, click on the pill -> choose Quick Table calculation -> Year over Year growth.
The view should now look like:

It is clear that October with -55.3% had the lowest Year on Year growth.


질문 # 83
If you decide you want to see all of the marks in the view at the most detailed level of granularity, you can __________________ the view.

정답：E

설명：

The different aggregations available for a measure determine how the individual values are collected: they can be added (SUM), averaged (AVG), or set to the maximum (MAX) or minimum (MIN) value from the individual row values.
For a complete list of the available aggregations, check out - List of Predefined Aggregations in Tableau.
The level of detail is determined by the dimensions in your view-for information about the concept of level of detail, see How dimensions affect the level of detail in the view.
Disaggregating your data can be useful for analyzing measures that you may want to use both independently and dependently in the view. For example, you may be analyzing the results from a product satisfaction survey with the Age of participants along one axis. You can aggregate the Age field to determine the average age of participants or disaggregate the data to determine at what age participants were most satisfied with the product.
Disaggregating data can be useful when you are viewing data as a scatter plot. See Example: Scatter Plots, Aggregation, and Granularity.


질문 # 84
______________ refers to the level of detail for a piece of data, wherever you are looking.

정답：D

설명：
Explanation
Data is generated and analyzed at many different levels of granularity. Granularity is the level of detail of the data. For example, when looking at graduation data, granularity would describe whether a row in the data set represents a single person or the graduating class of a university.


질문 # 85
Which one of the following is a dimension?

정답：C

설명：
Measure Names is a dimension. Latitude, Longitude, and Number of records are all measures.


질문 # 86
......

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