Analytics-Con-301考試心得 &最新Analytics-Con-301考古題

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最新的 Salesforce Consultant Analytics-Con-301 免費考試真題 (Q12-Q17):

問題 #12

From the desktop, open the NYC
Property Transactions workbook.
You need to record the performance of
the Property Transactions dashboard in
the NYC Property Transactions.twbx
workbook. Ensure that you start the
recording as soon as you open the
workbook. Open the Property
Transactions dashboard, reset the filters
on the dashboard to show all values, and
stop the recording. Save the recording in
C:CCData.
Create a new worksheet in the
performance recording. In the worksheet,
create a bar chart to show the elapsed
time of each command name by
worksheet, to show how each sheet in
the Property Transactions dashboard
contributes to the overall load time.
From the File menu in Tableau Desktop,
click Save. Save the performance
recording in C:CCData.

答案：

解題說明：
See the complete Steps below in Explanation:
Explanation:
To record the performance of the Property Transactions dashboard in the NYC Property Transactions.twbx workbook and analyze it using a bar chart, follow these detailed steps:
* Open the NYC Property Transactions Workbook:
* From the desktop, double-click the NYC Property Transactions.twbx workbook to open it in Tableau Desktop.
* Start Performance Recording:
* Before doing anything else, navigate to the 'Help' menu in Tableau Desktop.
* Select 'Settings and Performance', then choose 'Start Performance Recording'.
* Open the Property Transactions Dashboard and Reset Filters:
* Navigate to the Property Transactions dashboard within the workbook.
* Reset all filters to show all values. This usually involves selecting the dropdown on each filter and choosing 'All' or using a 'Reset' button if available.
* Stop the Performance Recording:
* Go back to the 'Help' menu.
* Choose 'Settings and Performance', then select 'Stop Performance Recording'.
* Tableau will automatically open a new tab displaying the performance recording results.
* Save the Performance Recording:
* In the performance recording results tab, go to the 'File' menu.
* Click 'Save As' and navigate to the C:CCData directory.
* Save the file, ensuring it is stored in the desired location.
* Create a New Worksheet for Performance Analysis:
* Return to the NYC Property Transactions workbook and create a new worksheet by clicking on the 'New Worksheet' icon.
* Drag the 'Command Name' field to the Columns shelf.
* Drag the 'Elapsed Time' field to the Rows shelf.
* Ensure that the 'Worksheet' field is also included in the analysis to break down the time by individual sheets within the dashboard.
* Choose 'Bar Chart' from the 'Show Me' options to display the data as a bar chart.
* Customize and Finalize the Bar Chart:
* Adjust the axes and labels to clearly display the information.
* Format the chart to enhance readability, applying color coding or sorting as needed to emphasize sheets with longer load times.
* Save Your Work:
* Once the new worksheet and the performance recording are complete, ensure all work is saved.
* Navigate to the 'File' menu and click 'Save', confirming that changes are stored in the workbook.
References:
Tableau Help Documentation: Provides guidance on how to start and stop performance recordings and analyze them.
Tableau Visualization Techniques: Offers tips on creating effective bar charts for performance data.
By following these steps, you have successfully recorded and analyzed the performance of the Property Transactions dashboard, providing valuable insights into how each component of the dashboard contributes to the overall load time. This analysis is crucial for optimizing dashboard performance and ensuring efficient data visualization.


問題 #13
A Tableau Server customer is interested in measuring content and platform usage. Which two features should the consultant use? Choose two.

答案：A,C

解題說明：
Comprehensive and Detailed Explanation From Exact Extract:
Two Tableau Server features provide usage and adoption insights:
Tableau Server Repository
* Stores all metadata about:
* Workbooks
* Data sources
* User activity
* View traffic
* Can be queried directly for content usage and platform metrics.
Admin Insights Page
* Built-in dashboards showing:
* User activity
* Content usage
* Data source usage
* Performance metrics
* Designed specifically for monitoring platform adoption.
These two together give complete content and usage visibility.
Why A and D are incorrect:
A). Tableau Pulse
* Available only in Tableau Cloud, not Tableau Server.
* Focuses on personalized metric insights, not platform reporting.
D). Server Status Page
* Shows node health and process status, not content usage or adoption analytics.
Thus, correct answers are B and C.
* Tableau Server auditing and usage documentation describing repository tables.
* Admin Insights documentation describing built-in content and user monitoring.


問題 #14
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?

答案：C

解題說明：
The correct calculation for classifying profit margins into categories based on specified thresholds involves the use of conditional statements that check ranges in a logical order:
* Highly Profitable Classification: The first condition checks if the profit margin is 50% or more. This must use the ">=" operator to include exactly 50% as "Highly Profitable".
* Profitable Classification: The next condition checks if the profit margin is between 0% and 50%.
Since any value falling at or above 50% is already classified, this condition only needs to check for values greater than or equal to 0%.
* Unprofitable Classification: The final condition captures any remaining scenarios, which would only be values less than 0%.
References:
Logical Order in Conditional Statements: It is crucial in programming and data calculation to ensure that conditions in IF statements are structured in a logical and non-overlapping manner to accurately categorize all possible values.


問題 #15
A client's fiscal calendar runs from February 1 through January 31.
How should the consultant configure Tableau to use the client's fiscal calendar when building date charts?

答案：A

解題說明：
Comprehensive and Detailed Explanation From Exact Extract:
Tableau allows fiscal calendars to be defined at the data source level, affecting how all date fields behave across the workbook.
According to Tableau documentation:
* Fiscal calendars must be set using Data Source Date Properties.
* Once set, this becomes a default property for all date fields unless overridden.
* This allows charts, hierarchies, and date parts to automatically follow the fiscal year starting in February.
Correct procedure:
* Go to Data Source.
* Open Date Properties.
* Set Fiscal Year Start = February.
* (Optional) Adjust Date Field Default Properties.
This ensures all charts and date hierarchies use the fiscal calendar automatically.
Why the other options are incorrect:
A). Right-click on axis # Use Fiscal Calendar
This option does not exist in Tableau.
B). Set Fiscal Year in Data Preview
Not supported; fiscal configuration isn't made in the preview window.
C). Use FISCALYEAR() / FISCALQUARTER()
This is manual, requires custom fields, and does not configure Tableau's built-in fiscal calendar system.
This is more work and not the correct method.
Only Option D configures the fiscal calendar globally and correctly.
* Tableau Date Properties documentation specifying fiscal year settings.
* Default Properties configuration for date fields.
* Official guidance for implementing fiscal calendars.


問題 #16
A client requests a published Tableau data source that is connected to SQL Server. The client needs to leverage the multiple tables option to create an extract. The extract will include partial data from the SQL Server data source.
Which action will reduce the amount of data in the extract?

答案：A

解題說明：
Using an extract filter is an effective way to reduce the amount of data in a Tableau extract. Extract filters allow you to specify a subset of the data to include, which can significantly decrease the size of the extract by excluding unnecessary data. This is particularly useful when you only need partial data from a larger SQL Server data source.
References: The recommendation to use extract filters to reduce data size is supported by Tableau's best practices for optimizing extracts. These practices suggest keeping the extract's data set short through filtering1. Additionally, discussions in the Tableau Community confirm that hiding fields and using extract filters before extracting data can help reduce the extract size2.
When dealing with large datasets in SQL Server and needing to create a manageable extract in Tableau, using an extract filter is the most direct and effective method to limit the data included:
Extract Filter: This involves setting filters that apply directly when the data is extracted from the source.
This means that only the data meeting the specified criteria will be extracted and loaded into Tableau, significantly reducing the size of the extract.
To apply an extract filter, in the Data Source page in Tableau, drag the fields you want to filter by to the Filters shelf. Then, configure the desired filter criteria. When you create the extract, choose the option to "Add Filters to Extract" and select the configured filters. This ensures that only the data that meets these conditions is extracted from the SQL Server.
This approach not only minimizes the data volume but also speeds up performance in Tableau because it processes a smaller subset of the full dataset.
ReferencesThis procedure is described in detail in Tableau's help documentation on managing extracts and optimizing performance by using extract filters, which is recommended for scenarios involving large datasets or when specific subsets of data are required for analysis.


問題 #17
......

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