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| Section | Weight | Objectives |
|---|
| Explore and Analyze Data | 41% | - Analyze and interpret data
- 1. Trends, distributions, comparisons, and correlations
- 2. Statistical functions, forecasting, and clustering
- 3. Geospatial analysis
- Create calculations and apply logic
- 1. Basic calculations, table calculations, LOD expressions
- 2. Parameters, conditional logic, and logical functions
- Organize and simplify data
- 1. Apply filters and sets
- 2. Sort, group, bin, and create hierarchies
|
| Create Content | 26% | - Build interactive dashboards
- 1. Actions, filters, and interactivity features
- 2. Responsive design and performance
- 3. Layout and design principles
- Design visualizations
- 1. Formatting, colors, annotations, and tooltips
- 2. Select appropriate chart types and visual best practices
- Create stories
- 1. Sequence and present insights effectively
- 2. Combine visualizations and text
|
| Publish and Manage Content on Tableau Server and Tableau Cloud | 9% | - Publish content
- 1. Set permissions and access rights
- 2. Publish workbooks, data sources, and flows
- Manage and maintain content
- 1. Monitor usage and optimize performance
- 2. Schedule refreshes and subscriptions
- 3. Create alerts, metrics, and custom views
|
| Connect to and Transform Data | 24% | - Connect to various data sources
- 1. Choose between live connection and extract
- 2. File-based data, databases, cloud sources, published data sources
- Transform data with Tableau Prep
- 1. Output and publish data sources
- 2. Build flows, apply cleaning steps
- Prepare and clean data
- 1. Use joins, unions, relationships, and blends
- 2. Shape, filter, and aggregate data
- 3. Handle null values, duplicates, and inconsistencies
|
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Salesforce Certified Tableau Data Analyst Sample Questions (Q191-Q196):
NEW QUESTION # 191
Which option must a Data Analyst enable to build the following table to add quarterly totals?

- A. Show Column Grand Totals
- B. Add All Subtotals
- C. Show Row Grand Totals
- D. Add Pane Totals
Answer: B
NEW QUESTION # 192
A Data Analyst has a dataset that contains people and the awards they have won.

Which formula should the analyst use to get the number of different types of awards that have been won?
- A. COUNTD ( [Award] )
- B. COUNTD ( [NAME] )
- C. WINDOW_COUNT ( [Award] )
- D. COUNT ( [Award] )
Answer: A
NEW QUESTION # 193
You have the following calculated fields in a worksheet.
[Calc1] = DATEADD ('year', -1, TODAY ())
[Calc2] = DATETRUNC ( 'month' , DATEADD ('year', -1, TODAY ())
You want to calculate the month to date value of the prior year.
How should you complete the formula? (Drag the appropriate Options to the Answer Area and drop into the correct locations.)
Answer:
Explanation:
To calculate the month to date value of the prior year, you need to filter the order date to be between the first day of the same month of the previous year and the same day of the previous year. You can use the calculated fields [Calc1] and [Calc2] to get these dates. [Calc1] returns the date that is one year before today, and
[Calc2] returns the date that is the first day of the month of [Calc1]. By using these fields in the filter condition, you can get the desired result.
References:
Finding the Month-to-Date Values for the Prior Year
[DATEADD Function]
[DATETRUNC Function]
NEW QUESTION # 194
Open the link to Book1 found on the desktop. Open the sales dashboard.
Add the Sales by State sheet in a Show/Hide button to the right side of the dashboard.

Answer:
Explanation:
check the steps below in explanation.
Explanation:
To add the Sales by State sheet in a Show/Hide button to the right side of the dashboard, 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 sales dashboard.
* Click on the sales dashboard tab at the bottom of the workbook to open the dashboard. You will see a dashboard that shows various charts and filters related to sales data.
* Drag Sales by State from the Sheets pane to the right side of the dashboard. This will add the sheet as a floating element on the dashboard. You can resize and position it as you like.
* Right-click on Sales by State and select Add Show/Hide Button from the menu. This will add a button that allows you to show or hide the sheet on the dashboard. You can customize the appearance and behavior of the button by clicking on it and using the options on the Marks card.
* Optionally, you can drag a vertical layout container from the Objects pane to the right side of the dashboard and place Sales by State and its button inside it. This will help you organize your dashboard elements and align them neatly.
References: https://help.tableau.com/current/pro/desktop/en-us/dashboards.htm https://help.tableau.com
/current/pro/desktop/en-us/dashboards_showhide.htm https://help.tableau.com/current/pro/desktop/en-us/dashboards_create_layouts.htm
NEW QUESTION # 195
You have the Mowing two tables that contains data about the books in a library.


Both tables are incomplete so there are books missing from the tables.
You need to combine the tables. The solution must ensure that all the data is retained Which type of join should you use?
- A. Inner join
- B. left join
- C. Right join
- D. Full outer join
Answer: D
Explanation:
To combine the two tables that contain data about books in a library and ensure that all the data is retained, you should use a full outer join. A full outer join is a type of join that returns all rows from both tables, regardless of whether there is a match or not. If there is no match, null values are filled in for the missing fields.
To perform a full outer join, you need to do the following steps:
* Connect to both tables as your data sources in Tableau. You can use either live or extract connections.
* Drag one table to the canvas and drop it on top of another table. This will create a join between them based on a common field.
* Click on the join icon between the tables and select Full Outer Join from the drop-down list. This will change the join type to full outer join and show all rows from both tables.
* Optionally, you can add or remove join clauses by clicking on Add or Remove buttons next to each clause. You can also change or rename fields by clicking on them.
The other types of joins are not correct for this scenario. An inner join returns only the rows that have a match in both tables, which will exclude any books that are missing from either table. A left join returns all rows from the left table and only the matching rows from the right table, which will exclude any books that are only in the right table. A right join returns all rows from the right table and only the matching rows from the left table, which will exclude any books that are only in the left table. References: https://help.tableau.com
/current/pro/desktop/en-us/joining_tables.htm https://help.tableau.com/current/pro/desktop/en-us/join_types.
htm
When combining two datasets that are both incomplete and where it's important to retain all data from both sources, a full outer join is appropriate. This type of join ensures that all records from both tables are included in the combined dataset, even if there are no matching records in the other table.
NEW QUESTION # 196
......
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