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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Sharing Insights & Building Dashboards | 25% | - Publish and share content
|
| Topic 2: Connecting to & Preparing Data | 25% | - Prepare and transform data
|
| Topic 3: Understanding Tableau Concepts | 15% | - Data types and roles - Dimensions vs Measures, Discrete vs Continuous - Tableau file types and structure |
| Topic 4: Exploring & Analyzing Data | 35% | - Use filters, sets, groups
|
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NEW QUESTION # 10
When working with Excel, text file data, JSON file, .pdf file data, you can use _________________ to union files across folders, and worksheets across workbooks. Search is scoped to the selected connection.
Answer: D
Explanation:
You can use Wildcard Search to set up search criteria to automatically include tables in your union. Use the wildcard character, which is an asterisk (*), to match a sequence or pattern of characters in the Excel workbook and worksheet names, Google Sheets workbook and worksheet names, text file names, JSON file names, .pdf file names, and database table names.
When working with Excel, text file data, JSON file, .pdf file data, you can also use this method to union files across folders, and worksheets across workbooks. Search is scoped to the selected connection. The connection and the tables available in a connection are shown on the left pane of the Data source page.
NEW QUESTION # 11
What are two examples of a date value?
Choose two.
Answer: A,D
Explanation:
Date values in Tableau represent specific points in time and are typically formatted in a standard date format.
Option A, "2020-05-01", is a standard date format representing the 1st of May, 2020.
Option D, "January 1, 1995", is another example of a date value, representing the 1st of January, 1995. Options B ("December") and C ("Wednesday") represent a month and a day of the week, respectively, but do not specify a particular date.
NEW QUESTION # 12
The View Data window displays as much of the data as possible by default, up to _______________ rows.
Answer: D
Explanation:
Explanation
The View Data window displays as much of the data as possible by default, up to 10,000 rows. This can be increased though, if you wish to.
Read more: https://help.tableau.com/current/pro/desktop/en-gb/inspectdata_viewdata.htm
NEW QUESTION # 13
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: 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 # 14
Yes or No: The number of marks will increase when you increase the number of Dimensions in a view
Answer: B
Explanation:
Of course! As an example, see below:
1) Using the Sample Superstore data, let's plot a bar chart showing the Sales for each Category:
Observe that we have 3 marks - Each bar in a bar chart is called a mark. Similarly, each point in a scatter plot is also a mark , and so on for all charts.
1 row by 3 columns means that clearly on the y-axis (Sales), we have only a single mark - a single continous axis, but 3 different marks (Technology, Furniture and Office supplies ) on the x-axis.
2) Now let's add subcategory to the view as well (another dimension):
Observe that the number of marks has increased - i.e the number of Bars.
Also, notice we now have 1 row and 17 columns. Simply because 1 row = Sales (on the y-axis), and on the x-axis, we have 17 different columns (i.e product sub categories!!)
NEW QUESTION # 15
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