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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Sharing Insights | 25% | - Dashboards and Stories
|
| Topic 2: Understanding Tableau Concepts | 15% | - Core Tableau Concepts
|
| Topic 3: Connecting to and Preparing Data | 23% | - Connect to Data Sources
|
| Topic 4: Exploring and Analyzing Data | 37% | - Analyze Data
|
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NEW QUESTION # 94
By definition, Tableau displays measures over time as a ____________
Answer: D
Explanation:
Line charts connect individual data points in a view. They provide a simple way to visualize a sequence of values and are useful when you want to see trends over time, or to forecast future values.
Please refer to the images below:
NEW QUESTION # 95
Which aggregation is available without requiring a table calculation or calculated field?
Answer: A
Explanation:
Standard deviation is an aggregation that is available without requiring a table calculation or calculated field. Standard deviation is a statistical measure that shows how much variation there is from the average value in a set of data. Standard deviation is one of the predefined aggregations in Tableau that can be applied to any measure by selecting it from the context menu of the measure or from the drop-down menu on the Marks card6 The other options are not aggregations that are available without requiring a table calculation or calculated field. Running total, sample covariance, and percent of total are all examples of table calculations, which are computations that are applied to the values in an entire table or partition of a table. Table calculations can be created by selecting them from the context menu of a measure or by using functions in a calculated field7
NEW QUESTION # 96
You want to assign the Latitude geographic role to a field.
What should be the data type and the data role of the field? (Choose two.)
Answer: A,D
Explanation:
To assign the Latitude geographic role to a field in Tableau:
- The field should be a Dimension because geographic fields in Tableau are typically treated as dimensions.
- The field should have a Number (decimal) data type, as latitude values are typically represented in decimal form for precise geographical coordinates.
String and Measure are not suitable options for assigning a geographic role like latitude.
NEW QUESTION # 97
When field names in the Union do not match, then:
Answer: A
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." Table Description automatically generated
A union of these tables creates the following single table that contains all rows from all tables.
Table Description automatically generated
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." Table Description automatically generated
Table Description automatically generated
NEW QUESTION # 98
You need to invert the color intensity of a quantitative range. Which option should you use?
Answer: C
Explanation:
To invert the color intensity of a quantitative range in Tableau, you should use the "Reversed" option. This option inverts the color scheme so that the colors representing the higher values are swapped with those representing the lower values. For example, if a color scale initially shows dark colors for high values and light colors for low values, using "Reversed" will switch this so that dark colors represent low values and light colors represent high values. This option is particularly useful for better visual distinction and interpretation in certain data scenarios.
NEW QUESTION # 99
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