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Salesforce Analytics-DA-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Create Content26%- Design visualizations
  • 1. Select appropriate chart types and visual best practices
  • 2. Formatting, colors, annotations, and tooltips
- Build interactive dashboards
  • 1. Layout and design principles
  • 2. Responsive design and performance
  • 3. Actions, filters, and interactivity features
- Create stories
  • 1. Sequence and present insights effectively
  • 2. Combine visualizations and text
Topic 2: Connect to and Transform Data24%- Connect to various data sources
  • 1. File-based data, databases, cloud sources, published data sources
  • 2. Choose between live connection and extract
- 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
Topic 3: Explore and Analyze Data41%- Create calculations and apply logic
  • 1. Basic calculations, table calculations, LOD expressions
  • 2. Parameters, conditional logic, and logical functions
- Organize and simplify data
  • 1. Sort, group, bin, and create hierarchies
  • 2. Apply filters and sets
- Analyze and interpret data
  • 1. Statistical functions, forecasting, and clustering
  • 2. Trends, distributions, comparisons, and correlations
  • 3. Geospatial analysis
Topic 4: Publish and Manage Content on Tableau Server and Tableau Cloud9%- Manage and maintain content
  • 1. Monitor usage and optimize performance
  • 2. Create alerts, metrics, and custom views
  • 3. Schedule refreshes and subscriptions
- Publish content
  • 1. Set permissions and access rights
  • 2. Publish workbooks, data sources, and flows

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Salesforce Certified Tableau Data Analyst Sample Questions (Q82-Q87):

NEW QUESTION # 82
You have a line chart on a worksheet.
You want to add a comment to March 2020 as shown in the following visualization.
What should you do?

Answer: C

Explanation:
To add a comment to March 2020 on a line chart, you need to annotate that mark. You can right-click on the mark and select Annotate > Mark from the menu. This will open a dialog box where you can type your comment and format it as you like. You can also drag and drop the annotation to position it on the worksheet.
Dragging the growth rate to Text on the Marks card will add a label to every mark on the line chart, enabling captions will show a description of the worksheet at the bottom, and adding a tooltip will show a text box when users hover over a mark. References: https://help.tableau.com/current/pro/desktop/en-us
/formatting_annotations.htm https://help.tableau.com/current/pro/desktop/en-us
/formatting_annotations_create.htm
To add a comment to a specific point on a line chart, such as March 2020 in the provided visualization, you would use the 'Annotate' feature. Right-clicking on the data point for March 2020 and selecting 'Annotate' allows you to add a text annotation directly to the chart, which can be used to highlight and comment on that particular data point.


NEW QUESTION # 83
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?

Answer: B

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 # 84
You have two tables named Employeelnfo and DepartmentInfo. Employeelnfo contains four fields named Full Name, Department ID, Start Date, and Salary.
DepartmentInfo contains four fields named Department Name, Size, Department ID, and VP.
You want to combine the tables to meet the following requirements:
. Each record in Employeelnfo must be retained in the combined table.
. The records must contain the Department Name, Size, and VP fields.
* Every record must have a full name.
Which type of join should you use?

Answer: B

Explanation:
To combine the tables and meet the requirements, you should use a left join. A left join will keep all the records from the left table (Employeelnfo) and match them with the records from the right table (DepartmentInfo) based on the common field (Department ID). If there is no matching record in the right table, the fields from the right table will be null. This way, you will retain all the records from Employeelnfo, and also include the Department Name, Size, and VP fields from DepartmentInfo. Every record will have a full name because it is a field from the left table. A left join will look like this:
References:
Join Your Data - Tableau
Join Types in Tableau


NEW QUESTION # 85
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 # 86
You have the following tiled dashboard that has one sheet.

You want to replace the sheet with Sheet2.
What should you do?

Answer: A

Explanation:
In Tableau, to replace a sheet on a dashboard, you can simply drag the desired sheet (Sheet2 in this case) from the sheets list onto the dashboard area where the current sheet (Sheet3) resides. This action will replace the existing sheet with the new one. Right-clicking and adding to the dashboard adds an additional sheet rather than replacing, and the context menu options mentioned in the other choices are not the standard methods for replacing sheets within a dashboard.


NEW QUESTION # 87
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