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TCC-C01 Practice Questions

Question # 1
From the desktop, open the CC workbook. Open the City Pareto worksheet. You need to complete the Pareto chart toshow the percentage of sales compared tothe percentage of cities. The chart mustshow references lines to visualize how thedata compares to the Pareto principle. From the File menu in Tableau Desktop, clickSave.



Explanation:

To complete the Pareto chart in the "City Pareto" worksheet of your Tableau Desktop and add reference lines to illustrate how the data compares to the Pareto principle, follow these steps:

  • Open the CC Workbook and Access the Worksheet:
  • Construct the Pareto Chart:
  • Add Reference Lines for the Pareto Principle:
  • Adjust the Appearance of the Chart:
  • Save Your Changes:

References:

  • Tableau Help: Offers detailed guidance on creating Pareto charts and adding reference lines.
  • Tableau Visualization Best Practices: Provides tips on effectively displaying cumulative data and principles such as Pareto.

By following these steps, you will have successfully enhanced the City Pareto worksheet to include a complete Pareto chart with reference lines that illustrate how the sales data compares to the Pareto principle, making it easier to analyze and communicate the distribution of sales across cities.

Question # 2
A client notices that while creating calculated fields, occasionally the new fields are created as strings, integers, or Booleans. The client asks a consultant if there is a performance difference among these three data types. What should the consultant tell the customer?
A. Strings are fastest, followed by integers, and then Booleans.
B. Integers are fastest, followed by Booleans, and then strings.
C. Strings, integers, and Booleans all perform the same.
D. Booleans are fastest, followed by integers, and then strings.


B. Integers are fastest, followed by Booleans, and then strings.

Explanation:

In Tableau, the performance of calculated fields can vary based on the data type used. Calculations involving integers and Booleans are generally faster than those involving strings. This is because numerical operations are typically more efficient for a computer to process than string operations, which can be more complex and time-consuming. Therefore, when performance is a consideration, it is advisable to use integers or Booleans over strings whenever possible.

References:The performance hierarchy of data types in Tableau calculations is documented in resources that discuss best practices for optimizing Tableau performance1.


Question # 3
A consultant creates a histogram that presents the distribution of profits across a client's customers. The labels on the bars show percent shares. The consultant used a quick table calculation to create the labels.

Now, the client wants to limit the view to the bins that have at least a 15% share. The consultant creates a profit filter but it changes the percent labels.

Which approach should the consultant use to produce the desired result?
A. Use a calculation with TOTAL() function instead of a quick table calculation.
B. Add the [Profit] filter to the context.
C. Filter with a table calculation WINDOW_AVG(MIN([Profit]), first(), last())
D. Filter with the table calculation used to create labels.


B. Add the [Profit] filter to the context.


Question # 4
A consultant plans a Tableau deployment for a client that uses Salesforce. The client wants users to automatically see Tableau views of regional sales filtered by customer as soon as the users sign into Salesforce.
Which approach should the consultant use to deliver the final visualization?
A. Embed views into Salesforce.
B. Create a list of URLs that the users can click in Salesforce.
C. Publish to Tableau Mobile for viewing.
D. Create subscriptions for each view to deliver reports by email.


A. Embed views into Salesforce.


Question # 5
A client has a large data set that contains more than 10 million rows.
A consultant wants to calculate a profitability threshold as efficiently as possible. The calculation must classify the profits by using the following specifications:

. Classify profit margins above 50% as Highly Profitable.
. Classify profit margins between 0% and 50% as Profitable.
. Classify profit margins below 0% as Unprofitable.

Which calculation meets these requirements?
A. IF [ProfitMargin]>0.50 Then 'Highly Profitable'
ELSEIF [ProfitMargin]>=0 Then 'Profitable'
ELSE 'Unprofitable'
END
B. IF [ProfitMargin]>=0.50 Then 'Highly Profitable'
ELSEIF [ProfitMargin]>=0 Then 'Profitable'
ELSE 'Unprofitable'
END
C. IF [ProfitMargin]>0.50 Then 'Highly Profitable'
ELSEIF [ProfitMargin]>=0 Then 'Profitable'
ELSEIF [ProfitMargin] <0 Then 'Unprofitable'
END
D. IF([ProfitMargin]>=0.50,'Highly Profitable', 'Profitable')
ELSE 'Unprofitable'
END


B. IF [ProfitMargin]>=0.50 Then 'Highly Profitable'
ELSEIF [ProfitMargin]>=0 Then 'Profitable'
ELSE 'Unprofitable'
END


Question # 6
A client uses Tableau Data Management and notices that when they view a data source, they sometimes see a different count of workbooks in the Connected Workbooks tab compared to the lineage count in Tableau Catalog. What is the cause of this discrepancy?
A. Some workbooks have been connected to the data source, but do not use any fields from it.
B. Some workbooks have not been viewed by enough users yet.
C. Some of the workbooks connected to the data source are not visible to the user due to permissions.
D. Some Creators have connected to the data source in Tableau Desktop but have not yet published a workbook.


C. Some of the workbooks connected to the data source are not visible to the user due to permissions.

Explanation:

The discrepancy between the count of workbooks in the Connected Workbooks tab and the lineage count in Tableau Catalog can occur because of user permissions. In Tableau Data Management, the visibility of connected workbooks is subject to the permissions set by administrators. If a user does not have permission to view certain workbooks, they will not see them listed in the Connected Workbooks tab, even though these workbooks are part of the data source’s lineage and are counted in Tableau Catalog.

References:

This explanation is based on the functionality of Tableau Data Management and Tableau Catalog, which includes managing user permissions and access to workbooks.The information is supported by Tableau’s official documentation on data management and security practices1.

Question # 7
A client wants to see the average number of orders per customer per month, broken down by region. The client has created the following calculated field:

Orders per Customer: {FIXED [Customer ID]: COUNTD([Order ID])}
The client then creates a line chart that plots AVG(Orders per Customer) over MONTH(Order Date) by Region. The numbers shown by this chart are far higher than the customer expects.

The client asks a consultant to rewrite the calculation so the result meets their expectation.

Which calculation should the consultant use?
A. {INCLUDE [Customer ID]: COUNTD([Order ID])}
B. {FIXED [Customer ID], [Region]: COUNTD([Order ID])}
C. {EXCLUDE [Customer ID]: COUNTD([Order ID])}
D. {FIXED [Customer ID], [Region], [Order Date]: COUNTD([Order ID])}


B. {FIXED [Customer ID], [Region]: COUNTD([Order ID])}


Question # 8
A university has data on its undergraduate students and their majors by grade level (Freshman, Sophomore, Junior, Senior). The university is interested in visualizing the path students take as they change majors across grade levels.

Which visualization type should the consultant recommend?
A. Chord Chart
B. Tree Chart
C. Radar Chart
D. Sankey Diagram


D. Sankey Diagram


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