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Salesforce Analytics-DA-201 Exam Syllabus Topics:

SectionWeightObjectives
Explore and Analyze Data41%- Organize and simplify data
  • 1. Apply filters and sets
  • 2. Sort, group, bin, and create hierarchies
- Create calculations and apply logic
  • 1. Parameters, conditional logic, and logical functions
  • 2. Basic calculations, table calculations, LOD expressions
- Analyze and interpret data
  • 1. Geospatial analysis
  • 2. Statistical functions, forecasting, and clustering
  • 3. Trends, distributions, comparisons, and correlations
Connect to and Transform Data24%- Transform data with Tableau Prep
  • 1. Build flows, apply cleaning steps
  • 2. Output and publish data sources
- Prepare and clean data
  • 1. Use joins, unions, relationships, and blends
  • 2. Shape, filter, and aggregate data
  • 3. Handle null values, duplicates, and inconsistencies
- Connect to various data sources
  • 1. File-based data, databases, cloud sources, published data sources
  • 2. Choose between live connection and extract
Create Content26%- Build interactive dashboards
  • 1. Layout and design principles
  • 2. Responsive design and performance
  • 3. Actions, filters, and interactivity features
- 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 Cloud9%- Publish content
  • 1. Publish workbooks, data sources, and flows
  • 2. Set permissions and access rights
- Manage and maintain content
  • 1. Create alerts, metrics, and custom views
  • 2. Schedule refreshes and subscriptions
  • 3. Monitor usage and optimize performance

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Salesforce Certified Tableau Data Analyst Sample Questions (Q131-Q136):

NEW QUESTION # 131
A colleague provides a Data Analyst with access to a folder that has the following files:
* Sales.csv
* Book1.json
* Sales.tds
* Export.mdb
Which file can contain information for connecting to an external data source, such as an SQL Server database?

Answer: D


NEW QUESTION # 132
You have the following dataset in Microsoft Excel.

You are using Data interpreter to cleans the dataset. Data interpreter provides the following results.

How many rows of data will be ingested into Tableau as values?

Answer: D

Explanation:
Data interpreter is a feature that helps you clean and structure your data in Excel before importing it into Tableau. It detects and removes any headers, footers, subtotals, or other elements that are not part of the actual data. It also splits any merged cells and fills in any missing values. In this case, data interpreter provides the following results:
* It removes the first three rows and the last two rows that contain headers and footers.
* It splits the merged cells in column A and fills in the missing values with "Fiction" or "Non-Fiction".
* It does not remove or change any other rows or cells.
Therefore, the number of rows of data that will be ingested into Tableau as values is 17, which is the number of rows left after removing the headers and footers. References: https://help.tableau.com/current/pro/desktop
/en-us/importing_cleaning_up_data.htm https://help.tableau.com/current/pro/desktop/en-us
/importing_data_interpreter.htm
Based on the Data Interpreter ' s results and the provided Excel dataset screenshot, the number of rows of data that will be ingested into Tableau as values is 17. The Data Interpreter has identified and excluded headers and footers, and the rows with actual data are considered for analysis.


NEW QUESTION # 133
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,B


NEW QUESTION # 134
You have the Mowing dashboard.

Which two elements are floating? Choose two.

Answer: A,D

Explanation:
In Tableau dashboards, floating elements are those that can be freely moved over the dashboard canvas without being snapped into the tiled layout. The floating elements are often indicated by their standalone frames and the ability to overlap with other dashboard items. From the provided image, the state filter and the Rate of Obesity chart can be identified as floating if they can be moved independently of the tiled grid layout that constrains other elements.


NEW QUESTION # 135
A Data Analyst has the following two tables that contain data about the books in a library.

Both tables are incomplete, so there are books missing from the tables.
The analyst needs to use the data from both tables in a single sheet. The solution must ensure that all the data is retained.
How should the analyst connect these tables?

Answer: B

Explanation:
A full outer join preserves every row from both physical tables, returning matched records where possible and null values where a corresponding row does not exist. That directly satisfies the requirement to retain books that appear in only one of the two incomplete tables. A Tableau relationship can also satisfy the requirement because relationships keep logical tables separate and defer physical joining until analysis time.
Tableau dynamically determines the appropriate joins based on fields used in the visualization and makes the row and column data from related tables potentially available without permanently collapsing the tables. Left or right joins would discard unmatched rows from one side, while an inner join retains only matches.
Therefore, Full outer join or Relationship model is the correct combination.


NEW QUESTION # 136
......

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