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| Section | Weight | Objectives |
|---|---|---|
| Working with Data | 30% | - Data manipulation
|
| Connecting to and Preparing Data | 25% | - Data preparation basics
|
| Using Tableau Desktop | 25% | - Dashboard creation
|
| Understanding Tableau Concepts | 20% | - Core Tableau architecture
|
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NEW QUESTION # 32
Which of the following can you use to create a Histogram?
Answer: D
Explanation:
Explanation
A histogram is a chart that displays the shape of a distribution. A histogram looks like a bar chart but groups values for a continuous measure into ranges, or bins.
The basic building blocks for a histogram are as follows:

Demo :
NEW QUESTION # 33
According to Tableau's 'Order of Operations', which of the following filters is applied FIRST?
Answer: A
Explanation:
According to Tableau's order of operations, the Extract filter is right at the top of the hierarchy. The data filtered in the Extract is then passed on to what we see in the Data Pane. See below:
NEW QUESTION # 34
Broadly speaking, after an importing a dataset in Tableau Desktop, all fields in it are broken down into _______________________
Answer: D
Explanation:
When you connect to a new data source, Tableau assigns each field in the data source as dimension or measure in the Data pane, depending on the type of data the field contains. You use these fields to build views of your data.
Further,
NEW QUESTION # 35
When field names in the Union do not match, then:
Answer: C
Explanation:
values
Explanation:
By default, both field names are present in the Union, but contain several null values!
When field names in the union do not match, fields in the union contain null values. You can merge the non-matching fields into a single field using the merge option to remove the null values. When you use the merge option, the original fields are replaced by a new field that displays the first non-null value for each row in the non-matching fields.
You can also create your own calculation or, if possible, modify the underlying data to combine the non-matching fields.
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."
A union of these tables creates the following single table that contains all rows from all tables.
Now suppose a fourth table, "August2016", is added to the underlying data. Instead of the standard "Customer" field name, it contains an abbreviated version called "Cust."

NEW QUESTION # 36
Which chart type uses automatically generated sizes that cannot be resized by using the Marks card?
Answer: C
Explanation:
In a treemap chart, Tableau automatically determines the sizes of the rectangles (or "tiles") based on the values of the measures associated with them, and these sizes cannot be manually adjusted using the Marks card. The size of each tile is proportional to the measure value, making treemaps useful for showing hierarchical data and relative sizes within a category. Other chart types like area charts, histograms, and pie charts allow for size adjustments through the Marks card.
NEW QUESTION # 37
......
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