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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding Tableau Concepts | 15% | - Core Tableau Concepts
|
| Topic 2: Connecting to and Preparing Data | 23% | - Connect to Data Sources
|
| Topic 3: Exploring and Analyzing Data | 37% | - Analyze Data
|
| Topic 4: Sharing Insights | 25% | - Share Content
|
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NEW QUESTION # 63
For creating variable sized bins we use __________________
Answer: B
Explanation:
One way to view a measure in Tableau Desktop is to split it into bins. You can think of bins as buckets based on a range of values. For example, say you have a measure that represents age. Instead of aggregating the measure to calculate the average age, you can bin the measure to define age groups: 0-5, 6-10, 11-15, and so on. Then you can count the number of people in each age group.
Create a calculated field for variable bin size
Step 1
Select Analysis > Create Calculated Field.
Step 2
In the Calculated Field dialog box, complete the following steps:
NEW QUESTION # 64
What are three geographic roles that you can assign to a field? Choose three.
Answer: B,D,E
Explanation:
According to the Tableau Desktop Specialist Exam Guide, city, country, and airport are three geographic roles that you can assign to a field. Address and time zone are not geographic roles in Tableau.
NEW QUESTION # 65
_____________ is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields.
Answer: D
Explanation:
Tableau Data Extract (TDE) is a snapshot of the data that Tableau stores locally. Good for very large datasets of which we only need few fields. Performance is optimised because it queries its own database engine instead of the local data source.
When you create an extract of your data, you can reduce the total amount of data by using filters and configuring other limits. After you create an extract, you can refresh it with data from the original data. When refreshing the data, you have the option to either do a full refresh, which replaces all of the contents in the extract, or you can do an incremental refresh, which only adds rows that are new since the previous refresh.
Extracts are advantageous for several reasons:
1) Supports large data sets: You can create extracts that contain billions of rows of data.
2) Fast to create: If you're working with large data sets, creating and working with extracts can be faster than working with the original data.
3) Help improve performance: When you interact with views that use extract data sources, you generally experience better performance than when interacting with views based on connections to the original data.
4) Support additional functionality: Extracts allow you to take advantage of Tableau functionality that's not available or supported by the original data, such as the ability to compute Count Distinct.
5) Provide offline access to your data: Extracts allow you to save and work with the data locally when the original data is not available. For example, when you are traveling.
NEW QUESTION # 66
Creating a scatter plot requires a minimum of how many measures?
Answer: A
Explanation:
We can use scatter plots to visualize relationships between numerical variables!
In Tableau, you create a scatter plot by placing at least one measure on the Columns shelf and at least one measure on the Rows shelf (Total 2 minimum). If these shelves contain both dimensions and measures, Tableau places the measures as the innermost fields, which means that measures are always to the right of any dimensions that you have also placed on these shelves. The word "innermost" in this case refers to the table structure.
A scatter plot can use several mark types. By default, Tableau uses the shape mark type. Depending on your data, you might want to use another mark type, such as a circle or a square. For more information, see Change the Type of Mark in the View.
To create a scatter plot, follow the steps below:
NEW QUESTION # 67
True or False: Context Filters are executed after Data Source filters
Answer: B
Explanation:
Explanation
THIS IS A VERY IMPORTANT QUESTION
To answer this question, you need to understand Tableau's Order of Operations. See below and remember this always:
NEW QUESTION # 68
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