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| Section | Weight | Objectives |
|---|
| Topic 1: Explore and Analyze Data | 41% | - Perform Data Analysis
- 1. Use sorting, filtering, and grouping
- 2. Use table calculations and LOD expressions
- 3. Apply aggregations and calculations
- Create Visualizations
- 1. Build charts and dashboards
- 2. Use maps and geographic analysis
- 3. Apply analytics features and forecasting
|
| Topic 2: Connect to and Transform Data | 24% | - Connect to Data Sources
- 1. Identify and connect to different types of data sources
- 2. Manage metadata and data properties
- 3. Use joins, relationships, and unions
- Prepare and Transform Data
- 1. Use Tableau Prep features
- 2. Clean and reshape data
- 3. Create calculated fields and groups
|
| Topic 3: Create Content | 26% | - Format and Present Data
- 1. Improve accessibility and readability
- 2. Apply formatting and styling
- Build Dashboards and Stories
- 1. Use actions and parameters
- 2. Optimize dashboard usability
- 3. Design interactive dashboards
|
| Topic 4: Publish and Manage Content on Tableau Server and Tableau Cloud | 9% | - Publish and Share Content
- 1. Manage permissions and access
- 2. Schedule refreshes and subscriptions
- 3. Publish workbooks and data sources
|
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Salesforce Certified Tableau Data Analyst Sample Questions (Q205-Q210):
NEW QUESTION # 205
You want to add a comment to March 2020 as shown in the following visualization.
You have the following sets in a Tableau workbook
* Top N Customers
* Customers of 2020
* Top N Products
* Sellers of 2020
Which two sets can you combine? Choose two
- A. Sellers of 2020
- B. Top N Products
- C. Customers of 2020
- D. Top N Customers
Answer: C,D
Explanation:
To combine two sets, they must have at least one dimension in common. In this case, Customers of 2020 and Top N Customers both have Customer Name as a dimension, so they can be combined using set operations such as union, intersection, or difference. Sellers of 2020 and Top N Products have different dimensions (Seller Name and Product Name), so they cannot be combined. References: https://help.tableau.com/current
/pro/desktop/en-us/sets.htm https://help.tableau.com/current/pro/desktop/en-us/sets_create.htm#combine-sets In Tableau, sets can be combined if they are created from the same dimension. From the options provided, " Customers of 2020 " and " Top N Customers " are likely created from the same dimension (Customers).
Therefore, these two sets can be combined to create a new set that includes or excludes members based on the combined criteria. Combining sets like " Top N Products " with " Customers of 2020 " would not be feasible unless they are from the same dimension, which is typically not the case.
NEW QUESTION # 206
A Data Analyst has the following dataset that contains sales for the month of May.
The analyst plans to create a data extract from the dataset. The analyst wants to extract data only from stores that have $500 or more in total sales.
What should the analyst do?

- A. Create an extract filter on Store Number and select Top by field Sales.
- B. Create an extract filter on Store Number and select Condition by field Sales.
- C. Create an extract filter on Sales and set the At least value.
- D. Create an extract filter on Store Number and select Top by field Store Number.
Answer: B
Explanation:
The requirement is based on total sales by store, so the filter must operate on the Store Number dimension while evaluating an aggregated Sales condition. Tableau dimension filters provide a Condition tab that can retain dimension members according to an aggregate measure, for example SUM([Sales]) > = 500. Applying that logic as an extract filter ensures that only qualifying store members are included in the resulting extract.
Filtering the Sales measure by an "at least" row-level value would incorrectly evaluate individual records rather than each store's total. A Top filter ranks members and is intended for top or bottom N selection, not for a fixed minimum total. Therefore, the analyst should filter Store Number by a condition based on Sales, which corresponds to option B.
NEW QUESTION # 207
Open the link to Book1 found on the desktop. Open the Line worksheet.
Modify the chart to show only main and max values of both measures in each region.

Answer:
Explanation:
check the steps below in explanation.
Explanation:
To modify the chart to show only min and max values of both measures in each region, you need to do the following steps:
* Open the link to Book1 found on the desktop. This will open the Tableau workbook that contains the Line worksheet.
* Click on the Line tab at the bottom of the workbook to open the worksheet. You will see a line chart that shows the sales and profit for each month by region.
* Drag Month from the Columns shelf to Filters shelf. This will open a dialog box that allows you to filter by different criteria.
* Select Range of Dates from the dialog box. This will show you options to filter by a range of dates or values.
* Select Minimum and Maximum from the drop-down list next to Month. This will filter by the minimum and maximum values of Month for each region. You can also enter specific values or use the sliders to adjust the range.
* Click OK to apply the filter. You will see that the line chart now shows only min and max values of both measures in each region.
References: https://help.tableau.com/current/pro/desktop/en-us/filtering.htm https://help.tableau.com/current/pro/desktop/en-us/filtering_range.htm
NEW QUESTION # 208
A Data Analyst has a sales dataset that contains the following fields.

The analyst needs to analyze the average revenue per item sold in different regions over time.
Which two fields should the analyst measure? Choose two.
- A. Order Date
- B. Quantity
- C. Revenue
- D. Customer Region
- E. Product Name
Answer: B,C
Explanation:
Revenue and Quantity are the two quantitative fields that must be measured to calculate average revenue per item. The analyst can derive the required business metric by relating the monetary Revenue measure to the Quantity measure, such as revenue divided by units sold at the appropriate aggregation level. Customer Region is required to segment the analysis geographically, but it is a dimension rather than the numeric value being measured. Order Date provides the time dimension for analysing the metric over time, and Product Name can further categorise the data, but neither is the primary quantitative measure required by the question.
Tableau defines measures as quantitative fields that can be numerically aggregated, while dimensions are qualitative fields used to group or segment the data. Therefore, Revenue and Quantity are the appropriate selections.
NEW QUESTION # 209
You have the following visualization.

You want the count of Returns displayed only for the first year in the table.
How should you complete the formula in the calculated field? (Use the dropdowns in the Answer Area to select the correct options to complete the formula.)

Answer:
Explanation:

Explanation:
we need to create a calculated field that displays the count of returns only for the first year in the table. To do this, we can use the following formula:
IF FIRST () = 0 THEN COUNT (Returns) END
This formula uses the FIRST () function, which returns the number of rows from the current row to the first row in the partition. If the current row is the first row, then FIRST () returns 0. The IF statement checks if this condition is true, and if so, it returns the count of returns for that row. Otherwise, it returns NULL.
To complete the formula in the calculated field, you should select the following options from the drop-down menus:
* FIRST ()
* 0
* COUNT (Returns)
https://help.tableau.com/current/pro/desktop/en-us/functions_functions_date.htm
NEW QUESTION # 210
......
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