TDA-C01 BEST VCE, CERTIFICATION TDA-C01 TORRENT

TDA-C01 Best Vce, Certification TDA-C01 Torrent

TDA-C01 Best Vce, Certification TDA-C01 Torrent

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Tags: TDA-C01 Best Vce, Certification TDA-C01 Torrent, TDA-C01 New Exam Bootcamp, Vce TDA-C01 Torrent, Pass TDA-C01 Guarantee

In today's highly competitive Tableau market, having the TDA-C01 certification is essential to propel your career forward. To earn the Tableau TDA-C01 certification, you must successfully pass the TDA-C01 Exam. However, preparing for the Tableau TDA-C01 exam can be challenging, with potential hurdles like exam anxiety and time constraints.

Tableau TDA-C01 certification exam is designed to validate your skills and knowledge as a data analyst using Tableau software. TDA-C01 exam measures your ability to connect to and prepare data, analyze and visualize data, and share insights and collaborate with others. Tableau Certified Data Analyst certification is recognized globally and is a valuable asset for anyone looking to pursue a career in data analysis or business intelligence.

Tableau TDA-C01 exam is intended for professionals who are interested in working with data and analytics. TDA-C01 exam is ideal for individuals who want to demonstrate their proficiency in using Tableau to work with data and create visualizations. TDA-C01 Exam is divided into three sections, covering Tableau Desktop, Tableau Prep, and Tableau Server.

Tableau TDA-C01 is an exam that tests the skills and knowledge of candidates who wish to become certified data analysts using the popular Tableau software. Tableau Certified Data Analyst certification is designed for individuals who want to take their data analysis expertise to the next level and become more proficient in using Tableau to solve complex business problems. TDA-C01 exam covers a wide range of topics, including data visualization, data analysis, and dashboard creation.

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Tableau Certified Data Analyst Sample Questions (Q35-Q40):

NEW QUESTION # 35
You have a data source that contains data tor every city in the Unites States. The following is a sample of the data.

You need to use the City dimension to create a dynamic filter that snows the cities that have a population greater than one million Which type of filter should you use?

  • A. Wildcard filter
  • B. Top filter
  • C. Condition filter
  • D. General filter

Answer: C

Explanation:
To use the City dimension to create a dynamic filter that shows the cities that have a population greater than one million, you should use a condition filter. A condition filter is a type of filter that shows only the values that meet a specified condition based on a measure or a calculation. You can create a condition filter by dragging a dimension to the Filters shelf and selecting Condition from the dialog box. Then you can enter a formula or choose an option that defines your condition.
In this case, you want to create a condition filter based on Population, which is a measure. You can drag City to the Filters shelf and select Condition from the dialog box. Then you can choose By field from the tab and select Population > Sum > Greater than > 1000000 from the drop-down lists. This will create a condition filter that shows only the cities that have a sum of population greater than one million.
The other options are not correct for this scenario. A general filter is not a specific type of filter, but a term that refers to any type of filter in Tableau. A wildcard filter is a type of filter that shows only the values that match a specified pattern or string, such as "New*" or "*ton". A top filter is a type of filter that shows only the top or bottom N values of a measure or dimension based on a ranking or an aggregation. References:
https://help.tableau.com/current/pro/desktop/en-us/filtering.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_condition.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_wildcard.htm
https://help.tableau.com/current/pro/desktop/en-us/filtering_topn.htm


NEW QUESTION # 36
You conned to a Microsoft SQL Server database
You need to create a custom SQL query that retrieves rows from a table named Students Only students m the city of Berlin must be returned How should you complete the query? (Drag the appropriate Options to the Answer Area and drop into the correct locations.)

Answer:

Explanation:


NEW QUESTION # 37
You plan to create a visualization that has a dual axis chart. The dual axis chart will contain a shape chart and a line chart will use the same measure named Population on the axis.
You need to configure be shapes to be much larger than the line.
What should you do?

  • A. For the second axis select Shape on the Marks card From Select Shape Palette select Custom and then select Reset
  • B. Create a custom shape that is larger than the default shape and add the shape to the Shapes folder in My Repository
  • C. Duplicate Population Drag the duplicate to the second Marks card and configure the see of the marks independently
  • D. Change Population to a discrete dimension

Answer: C

Explanation:
To configure the shapes to be much larger than the line, you need to duplicate Population and drag it to the second Marks card. This will create a dual axis chart with two measures on one axis. You can then select Shape on one Marks card and Line on another Marks card, and adjust the size of each mark independently using the Size slider or menu. References:
https://help.tableau.com/current/pro/desktop/en-us/multiplemeasures_dualaxes.htm
https://help.tableau.com/current/pro/desktop/en-us/marks_markproperties_size.htm In a dual-axis chart in Tableau, if you want to have two different visual mark types (like a shape and a line) and configure them differently (such as making one larger than the other), you would need to duplicate the measure. You then drag this duplicate to the second Marks card (which represents the second axis). There, you can adjust the size of the marks (shapes, in this case) independently of the line marks on the first Marks card.


NEW QUESTION # 38
Open the link to Book1 found on the desktop. Open the CategoryPercentage worksheet.
Modify the bar chart show the percentage of sales for each Subcategory within every Category. The total percentage for every Category must be 100%.

Answer:

Explanation:
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NEW QUESTION # 39
You have the following dataset.

You want to create a new calculated dimension field named Category that meets the following conditions:
. When Subject is Computer Science or Science, Category must be Sciences.
. When Subject is English or Social Studies, Category must be Humanities.
Which two logical functions achieve the goal? Choose two.

  • A. IF ENDSWITH ( [Subject], 'Computer Science') THEN 'Sciences' ELSE 'Humanities' END
  • B. CASE [Subject]
    WHEN 'Computer Science' THEN 'Sciences'
    WHEN 'Science' THEN 'Sciences'
    WHEN 'English' THEN 'Humanities'
    WHEN 'Social Studies' THEN 'Humanities'
    End
  • C. IF [Subject]- 'Science' THEN 'Sciences'
    ELSEIF [Subject]='English' THEN 'Humanities'
    ELSEIF [Subject]-'Social Studies' THEN 'Humanities'
    ELSEIF [Subject]= 'Computer Science' THEN 'Sciences'
    END
  • D. IIF(( CONTAINS ([Subject], 'Science') = TRUE) , 'Humanities', 'Sciences')

Answer: B,C

Explanation:
To create a new calculated dimension field named Category that meets the given conditions, you can use either the IF or the CASE logical function. Both functions allow you to evaluate an expression and return a value based on different scenarios. Option A uses the IF function with multiple ELSEIF clauses to check the value of the Subject field and assign it to either 'Sciences' or 'Humanities'. Option D uses the CASE function with multiple WHEN clauses to do the same thing. Both options will produce the same result, but the CASE function is more concise and easier to read. Option B is incorrect because it will assign 'Humanities' to any subject that contains 'Science' in its name, which is not the desired outcome. Option C is incorrect because it will only check if the subject ends with 'Computer Science' and ignore the other subjects. Reference:
Logical Functions - Tableau
Tableau Certified Data Analyst Study Guide


NEW QUESTION # 40
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