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| Section | Weight | Objectives |
|---|---|---|
| Connecting to and Preparing Data | 23% | - Prepare Data
|
| Exploring and Analyzing Data | 37% | - Build Visualizations
|
| Understanding Tableau Concepts | 15% | - Core Tableau Concepts
|
| Sharing Insights | 25% | - Dashboards and Stories
|
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Our Tableau Exam Questions greatly help Tableau Desktop Specialist (TDS-C01) exam candidates in their preparation. Our Tableau TDS-C01 practice questions are designed and verified by prominent and qualified Tableau Desktop Specialist (TDS-C01) exam dumps preparation experts. The qualified Tableau Desktop Specialist (TDS-C01) exam questions preparation experts strive hard and put all their expertise to ensure the top standard and relevancy of TDS-C01 exam dumps topics.
NEW QUESTION # 82
What term is used to describe the following picture?
Answer: D
Explanation:
When you connect to a data source, Tableau automatically separates date fields into hierarchies so you can easily break down the viz. You can also create your own custom hierarchies. For example, if you have a set of fields named Region, State, and County, you can create a hierarchy from these fields so that you can quickly drill down between levels in the viz.
NEW QUESTION # 83
_____________ contains the visualisations, info needed to build the visualisations, and a copy of the data source.
Answer: B
Explanation:
TWBX is all in one. It contains viz, info needed to build the viz, and a copy of the data source. It doesn't contain extracts of the data but can contain both live and data extracts. Best if want to eliminate the barrier of data access.
Create a .twbx with file-based data sources
1) Select File > Save As.
2) Specify a file name for the packaged workbook in the Save As dialog box.
3)Select Tableau Packaged Workbooks on the Save as type drop-down list.
4) Click Save.
5) The default location is the Workbooks folder of the Tableau repository. However, you can save packaged workbooks to any directory you choose.
The following files are included in packaged workbooks:
--> Background images
--> Custom geocoding
--> Custom shapes
--> Local cube files
--> Microsoft Access files
--> Microsoft Excel files
--> Tableau extract files (.hyper or .tde)
--> Text files (.csv, .txt, etc.)
NEW QUESTION # 84
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.
Answer: C
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 # 85
Question 30: Skipped
Using the CoffeeChain table, create a scatter plot of Profit (x-axis) vs Sales (y-axis) broken down by State. Add a Linear trend line to the view. What is its R-squared value?
Answer: C
Explanation:
Trend lines have become popular questions in recent Tableau examinations. Follow along:
1) First drag Sales to the Rows shelf and Profit to the Columns shelf:
You will only see a single mark since the view is aggregated.
2) Now, break down this view by state. Drag State into Detail on the Marks shelf ( or directly to the view):
3) Finally, move to the Analytics pane, and drag Trend line to the view. When you drag it, select the Linear option!:
4) The following is our view. Hover over the trend line to see the R-squared value:
NEW QUESTION # 86
______________ is a method for appending values (rows) to tables. You can use this method if both tables have the same columns. The result is a virtual table that has the same columns but extends vertically by adding rows of data.
Answer: C
Explanation:
Unioning is the correct answer!
From the official documentation:
For example, suppose you have the following customer purchase information stored in three tables, separated by month. The table names are "May2016" , "June2016" and "July2016."
NEW QUESTION # 87
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