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[General] Valid TDA-C01 Study Guide, Valid TDA-C01 Exam Guide

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【General】 Valid TDA-C01 Study Guide, Valid TDA-C01 Exam Guide

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Tableau TDA-C01 certification exam is conducted by Tableau, Inc., a leading technology company that specializes in data visualization and business intelligence solutions. Tableau Certified Data Analyst certification exam is designed to assess the candidate's ability to analyze data, create visualizations, and develop dashboards using Tableau products. TDA-C01 exam is conducted online, and candidates can take it from anywhere in the world.
Tableau TDA-C01 exam is a comprehensive exam that evaluates a candidate's ability to work with data and create visualizations using Tableau. TDA-C01 exam covers a range of topics, including data connection, data transformation, data analysis, and visualization design. It also tests a candidate's ability to use Tableau to communicate insights and findings effectively.
Tableau TDA-C01 (Tableau Certified Data Analyst) Exam is designed for individuals who possess expertise in using Tableau software for data analysis and visualization. Tableau Certified Data Analyst certification helps in validating an individual's skillset and knowledge in the field of data analytics, making them stand out from the crowd in a highly competitive job market. Tableau Certified Data Analyst certification exam focuses on various aspects of Tableau software, including data preparation, visualization, analysis, and dashboard creation.
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Tableau Certified Data Analyst Sample Questions (Q168-Q173):NEW QUESTION # 168
You have a sales dataset that contains the following fields.

You need to analyze the average revenue per product in different regions over time.
Which two fields should be measures? Choose two.
  • A. Customer Region
  • B. Quantity
  • C. Product Name
  • D. Order Date
  • E. Revenue
Answer: B,E
Explanation:
To analyze the average revenue per product in different regions over time, you need to use two fields that contain numeric, quantitative values that you can measure and aggregate. Quantity and Revenue are both measures that fit this criterion. You can multiply Quantity and Revenue to get the total sales for each product, and then divide by the number of products to get the average revenue. You can also use these measures to create charts and tables that show the trends and comparisons over time and across regions. References:
Dimensions and Measures, Blue and Green - Tableau
Tableau Certified Data Analyst Study Guide

NEW QUESTION # 169
A Data Analyst has the following primary data source that contairis a dimension named Dorm_Code.

The analyst receives the following secondary data source that contains updated dorm codes.

The analyst needs 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 the analyst do?
  • A. Bring in the secondary data source as a union.
  • B. 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 [Dorm_Name_New] in the calculation window.
  • C. 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.
  • D. Create a data blend and select Edit Primary Aliases to replace the primary data source alias values with values from the secondary data source.
Answer: C

NEW QUESTION # 170
You have the following box plot that shows the distribution of average profits made in every state by region.

Which region has the smallest distribution of profits?
  • A. Central
  • B. South
  • C. West
  • D. Cast
Answer: B
Explanation:
The box plot visualization displays the distribution of average profits by region. The distribution of profits is represented by the range of the box (interquartile range) and the whiskers (which often represent the total range excluding outliers). From the image provided, the South region has the smallest visible range within its box and the shortest whiskers, indicating the smallest distribution of average profits among the choices provided.

NEW QUESTION # 171
You have the following data source in tableau Server.

You need to ensure that the data is updated every hour.
What should you select?
  • A. Connections
  • B. New
  • C. Extract Refreshes
  • D. Connected Workbooks
Answer: C
Explanation:
To ensure that the data is updated every hour, you need to select Extract Refreshes from the data source menu on Tableau Server. This will allow you to add a new extract refresh schedule or edit an existing one. You can specify the frequency and time of the refresh, as well as any custom options or credentials. New will create a new data source, Connected Workbooks will show you which workbooks use this data source, and Connections will show you which tables or files are connected to this data source. References: https://help.
tableau.com/current/server/en-us/refresh_extracts.htm https://help.tableau.com/current/server/en-us
/refresh_extracts_add.htm
To ensure that the data is updated every hour on Tableau Server, you would need to go to the "Extract Refreshes" option. Here, you can schedule the data extracts to refresh at the desired frequency, which in this case would be every hour.

NEW QUESTION # 172
You have a dashboard that contains a parameter named Start Date.
You need to create an extract from a Microsoft Excel file. The extract must be filtered based on Start Date.
What should you do?
  • A. Create a custom SOL query that references Stan Date in the WHERE clause.
  • B. Create a data source based on the Excel worksheet and create a calculated field based on Start Date.From the Data pane, add the calculated field to the data source filter
  • C. Create a custom SOL query to define the data source and create a calculated field based on Start Date.
    Add the calculated field to the extract filter.
  • D. Create a data source based on the Excel worksheet and create a calculated field based on Start Date.
    Add the calculated field to the extract filter.
Answer: D

NEW QUESTION # 173
......
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