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Salesforce Analytics-DA-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. Handle null values, duplicates, and inconsistencies
  • 2. Shape, filter, and aggregate data
  • 3. Use joins, unions, relationships, and blends
Topic 2: Create Content26%- Build interactive dashboards
  • 1. Actions, filters, and interactivity features
  • 2. Layout and design principles
  • 3. Responsive design and performance
- Create stories
  • 1. Combine visualizations and text
  • 2. Sequence and present insights effectively
- Design visualizations
  • 1. Select appropriate chart types and visual best practices
  • 2. Formatting, colors, annotations, and tooltips
Topic 3: 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. Trends, distributions, comparisons, and correlations
  • 2. Statistical functions, forecasting, and clustering
  • 3. Geospatial analysis
Topic 4: Publish and Manage Content on Tableau Server and Tableau Cloud9%- Publish content
  • 1. Set permissions and access rights
  • 2. Publish workbooks, data sources, and flows
- Manage and maintain content
  • 1. Schedule refreshes and subscriptions
  • 2. Create alerts, metrics, and custom views
  • 3. Monitor usage and optimize performance

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Salesforce Certified Tableau Data Analyst Sample Questions (Q107-Q112):

NEW QUESTION # 107
A Data Analyst has the following chart that shows the sum of sales made in different cities.

The analyst wants to show the average sale amount for a city when users hover their mouse over any of the bars.
What should the analyst do?

Answer: C


NEW QUESTION # 108
A Data Analyst looks into the item hierarchy in a dashboard.

Which three elements are floating? Choose three.

Answer: A,C,D

Explanation:
The Item hierarchy separates the top-level floating objects from the objects nested under the Tiled section. In the exhibit, Show/Hide, Filters Container, and Legend appear at the top level before the Tiled branch. Total Sales and Horizontal Container are nested inside vertical containers under Tiled, so they belong to the tiled layout structure. Tableau distinguishes tiled items, which participate in a non-overlapping layout grid, from floating items, which can be positioned and layered independently. In Tableau Desktop, floating objects appear at the top level of the Item hierarchy and can be reordered to control their layering. Reading the hierarchy therefore identifies B, D, and E as floating, while A and C are contained within the tiled hierarchy and are not floating objects.


NEW QUESTION # 109
A Data Analyst has a large data source that contains more than 10 million rows. Users can filter the rows by a field named Animal.
The following is a sample of the data.

The analyst wants to ensure that every calculation is affected by including only animals of a particular type.
Which type of filter should the analyst create on the worksheet?

Answer: A


NEW QUESTION # 110
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: C

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 # 111
A Data Analyst has a data source that contains data for every city in the United States. The following is a sample of the data.

The analyst needs to use the City dimension to create a dynamic filter that shows the cities that have a population greater than 1 million.
Which type of filter should the analyst use?

Answer: D


NEW QUESTION # 112
......

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