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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Create Content | 26% | - Format and Present Data
|
| Topic 2: Explore and Analyze Data | 41% | - Create Visualizations
|
| Topic 3: Connect to and Transform Data | 24% | - Prepare and Transform Data
|
| Topic 4: Publish and Manage Content on Tableau Server and Tableau Cloud | 9% | - Publish and Share Content
|
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NEW QUESTION # 65
Which function should a Data Analyst use to aggregate total regional sales for a dataset regardless of what is in the view?
Answer: D
Explanation:
FIXED is the Level of Detail scoping keyword designed to compute an aggregation using explicitly specified dimensions without reference to the dimensions currently present in the view. For regional totals, an expression such as {FIXED [Region] : SUM([Sales] )} calculates sales at the Region level even when the visualization includes additional dimensions such as State or Customer. INCLUDE adds a dimension to the view's level of detail, while EXCLUDE removes specified view dimensions; both therefore depend on the view context. SUM by itself is a standard aggregate and operates at the current visualization level of detail.
Because the requirement states that total regional sales must be calculated regardless of what is in the view, FIXED provides the necessary view-independent level of detail.
NEW QUESTION # 66
You have a sales dataset that contains the following fields.
You need to analyze the average revenue per product in different regions over time.
Which two fields should be measures? Choose two.
Answer: A,D
Explanation:
To analyze the average revenue per product in different regions over time, you need to use two fields that contain numeric, quantitative values that you can measure and aggregate. Quantity and Revenue are both measures that fit this criterion. You can multiply Quantity and Revenue to get the total sales for each product, and then divide by the number of products to get the average revenue. You can also use these measures to create charts and tables that show the trends and comparisons over time and across regions. References:
* Dimensions and Measures, Blue and Green - Tableau
* Tableau Certified Data Analyst Study Guide
NEW QUESTION # 67
When a Data Analyst needs to format workbook settings, which options are available in the Format Workbook panel?
Answer: D
NEW QUESTION # 68
A Data Analyst has the following sets in a Tableau workbook:
* Top N Customers
* Customers of 2024
* Top N Products
* Sellers of 2024
Which two sets can the analyst combine? (Choose two.)
Answer: A,C
NEW QUESTION # 69
You need to change the values of a dimension without creating a new field.
What should you do?
Answer: B
Explanation:
You can create aliases for the members of a dimension by right-clicking the dimension in the Data pane or in the view and selecting Aliases. This changes how the values are displayed in the view, but not the underlying data. For example, you can create an alias for "Central" as "Midwest".
In Tableau, aliases can be used to change the way dimension members appear without altering the underlying data. This is useful for display purposes and does not create a new field within the dataset.
NEW QUESTION # 70
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