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Salesforce Analytics-DA-201 Exam Syllabus Topics:

SectionWeightObjectives
Connect to and Transform Data24%- Prepare and clean data
  • 1. Shape, filter, and aggregate data
  • 2. Use joins, unions, relationships, and blends
  • 3. Handle null values, duplicates, and inconsistencies
- Transform data with Tableau Prep
  • 1. Output and publish data sources
  • 2. Build flows, apply cleaning steps
- Connect to various data sources
  • 1. File-based data, databases, cloud sources, published data sources
  • 2. Choose between live connection and extract
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
Explore and Analyze Data41%- Organize and simplify data
  • 1. Sort, group, bin, and create hierarchies
  • 2. Apply filters and sets
- Create calculations and apply logic
  • 1. Basic calculations, table calculations, LOD expressions
  • 2. Parameters, conditional logic, and logical functions
- Analyze and interpret data
  • 1. Trends, distributions, comparisons, and correlations
  • 2. Geospatial analysis
  • 3. Statistical functions, forecasting, and clustering
Create Content26%- Build interactive dashboards
  • 1. Actions, filters, and interactivity features
  • 2. Layout and design principles
  • 3. Responsive design and performance
- Design visualizations
  • 1. Formatting, colors, annotations, and tooltips
  • 2. Select appropriate chart types and visual best practices
- Create stories
  • 1. Combine visualizations and text
  • 2. Sequence and present insights effectively

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Salesforce Certified Tableau Data Analyst Sample Questions (Q46-Q51):

NEW QUESTION # 46
You have the following map.

You need the map to appear as shown in the following visualization.
What should you do?

Answer: E

Explanation:
The question presents a scenario where a geographic map visualization in Tableau needs to be transformed from a series of discrete circles representing data points to a density map visualization. The density map shows concentrations of data points with a gradient of color, where denser areas are indicated by a darker color.
Here's the explanation for each option:
A). Change the mark type to Density: This is the correct answer because changing the mark type to 'Density' in Tableau creates a density map, which displays the concentration of data points with a color gradient. This is exactly what is needed to achieve the visual effect shown in the second image, where regions with a higher concentration of data points are represented by darker shades.
B). Drag Location to Size on the Marks card: This option would adjust the size of the marks based on the number of locations, which is not relevant to creating a density map. It would result in varying sizes of circles, not a continuous gradient.
C). Change the mark type to Map: The visualization is already using a map. This option would not change the visualization to the desired density map.
D). Drag Population to Size on the Marks card: This would change the size of the circles based on the population values, making some circles larger and others smaller. This is not how a density map is created, which uses color intensity rather than size to show concentration.
E). Change the opacity to 75%: Changing the opacity would affect the transparency of the marks on the map but would not transform the visualization into a density map.
To achieve the visualization shown in the second image, the mark type must be changed to 'Density,' which will produce a heat map-like effect where the color intensity represents the concentration of data points.
Therefore, the correct answer is A. Change the mark type to Density.
To create a density map from a scatter plot of data points, you would change the mark type to Density. This mark type allows you to visualize the concentration of data points in an area, which can be useful for identifying clusters or patterns in geospatial data.


NEW QUESTION # 47
A Data Analyst has the following dashboard.

Currently, the map is used as a filter that affects the data on the other sheets of the dashboard.
The analyst needs to configure the dashboard to ensure that selecting a data point on the map only filters the Detail table.
What should the analyst do?

Answer: A


NEW QUESTION # 48
A Data Analyst creates the following story that contains two story points.

The analyst wants to change the story point format to show the current story point number out of the total number of story points.
Which Layout option should the analyst use?

Answer: D


NEW QUESTION # 49
A Data Analyst is creating a map that includes multiple data layers at country, state, and city levels. Users want to customize their map by turning layers on and off as needed.
How should the analyst provide this functionality?

Answer: A

Explanation:
Tableau ' s Layer Control is specifically designed for maps containing multiple geographic mark layers.
When enabled, it gives users an interactive panel from which individual map layers can be shown or hidden and interactions with particular layers can also be enabled or disabled. Tableau Desktop authors enable this feature through Map > Map Options > Layer Control before publishing the workbook. A parameter could theoretically drive custom calculations, but it is unnecessary because Tableau already supplies native layer- visibility controls. The Filter shelf filters underlying data values rather than directly controlling geographic mark-layer visibility. A dual-axis map is also unnecessary and is more limited than Tableau ' s current multi- layer mapping architecture. Therefore, C is the direct, officially supported method for allowing users to toggle map layers independently.


NEW QUESTION # 50
A Data Analyst wants to visualize the distribution of employee salaries across a large corporation. The analyst needs to divide the salary range into equal intervals for better analysis and presentation.
What should the analyst create to implement this in Tableau?

Answer: D

Explanation:
Bins divide a continuous numeric measure into a series of equal-sized ranges, making them the correct Tableau feature for analysing a salary distribution. For example, salary values could be divided into intervals of £10,000, with each employee assigned to the corresponding salary bin. The resulting binned dimension can then be used to create a histogram showing the frequency of salaries in each interval. Tableau documentation describes each bin as an equal-sized container representing a defined numeric range. A Group combines selected dimension members manually or logically, but it does not inherently create equal numeric intervals.
A hierarchy establishes drill-down relationships between dimensions, while a Set defines a subset of dimension members according to selection or rules. Therefore, Bins directly satisfy the requirement to divide a continuous salary range into equal intervals.


NEW QUESTION # 51
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