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| Section | Weight | Objectives |
|---|
| Connect and Prepare Data | 25% | - Data Preparation
- 1. Handle missing or inconsistent data
- 2. Clean and transform data
- Data Connections
- 1. Connect to various data sources
- 2. Understand data types and structures
|
| Create Visualizations and Dashboards | 25% | - Visualization Development
- 1. Build charts and graphs
- 2. Select appropriate visual encodings
- Dashboard Design
- 1. Apply best practices for usability
- 2. Design interactive dashboards
|
| Explore and Analyze Data | 35% | - Statistical Analysis
- 1. Correlation and distributions
- 2. Basic statistical concepts
- Data Exploration
- 1. Identify trends and patterns
- 2. Use aggregations and filters
|
| Data Governance and Security | 15% | - Data Governance
- 1. Understand data governance principles
- Security and Ethics
- 1. Data privacy and ethical use of data
|
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Salesforce Certified Tableau Data Analyst Sample Questions (Q84-Q89):
NEW QUESTION # 84
You have the following primary data source that contains a dimension named Dorm_Code.

You receive the following secondary data source that contains updated dorm codes.

You need to bring the updated dorm codes into Tableau and use the codes in existing visualizations. The new dorm codes must use the existing field name of Dorm_Code.
What should you do?
- A. Create a data blend and select Edit Primary Aliases to replace the primary data source alias values with values from the secondary data source
- B. Bring in the secondary data source by using relationships. From the Data pane, right-click Dorm_Name select Replace References, and then select Dorm_Name_New
- C. Bring in the secondary data source as a union.
- D. Bring in the secondary table as a left join to the primary data source. From the Data Source page, select Create Calculated Field in the Dorm_Name field and enter [Dcrm_Name_New] in the calculation window
Answer: B
Explanation:
* Using relationships: You can use relationships to link the secondary data source with the primary data source based on a common field. This will allow you to use fields from both data sources in your visualization without creating new fields or duplicating data. You can then replace references to update the dimension values. For example, you can use relationships to link the updated dorm codes with the primary data source and then replace Dorm_Code with Dorm_Code_New in your visualization.
https://community.tableau.com/s/question/0D54T00000C5ldZSAR/update-data-view-based-on-dimension To update existing visualizations with new codes without changing the field name, using relationships to bring in the secondary data source is appropriate. Then using Replace References allows you to update the references from the old dorm codes to the new ones while maintaining the existing field name.
NEW QUESTION # 85
You have the following line chart that shows the average sales by month.

Which month had the biggest increase in swage sales compared to me previous month in 2019?
- A. November
- B. October
- C. August
- D. December
Answer: A
Explanation:
Based on the line chart provided, each point on the line chart represents the average sales for a given month, and the percentage values indicate the change in average sales compared to the previous month. The month of November shows a significant increase from the month of October, indicated by a large upward spike on the chart and a high percentage increase.
NEW QUESTION # 86
How should a Data Analyst sort data by Sales across multiple dimensions in Tableau?
- A. Use the Sets feature to combine dimensions and then sort one of the fields.
- B. Use the Group feature to combine dimensions and then sort the grouped field.
- C. Right-click on each dimension, choose Sort, then select data source order in the options.
- D. Right-click on the rightmost dimension, choose Sort, then select nested in the options.
Answer: D
NEW QUESTION # 87
The following table displays the row-level data in a Tableau data source:

A Data Analyst creates this calculated field:
SUM(IF [Item] = 'A' THEN [Sales] END) / COUNT([Order ID])
What is the result of this aggregate calculation?
Answer: D
NEW QUESTION # 88
A Data Analyst has a dataset that contains the fallowing rows of sales data.

The analyst needs to return a value of TRUE if a month has sales greater than $50,000; otherwise, the formula must return a value of FALSE.
Which two formulas achieve this goal? (Choose two.)
- A. MAX([Sales], 50000)
- B. IF [Sales] > 50000 THEN TRUE ELSE FALSE END
- C. SUM([Sales]) IN (50000)
- D. [Sales] > 50000
Answer: B,D
NEW QUESTION # 89
......
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