TCC-C01試験の準備方法｜信頼的なTCC-C01テスト問題集試験｜便利なTableau Certified Consultant学習体験談

我々の目標はTCC-C01試験を準備するあなたにヘルプを提供してあなたに試験に合格させることです。この目標を達成するために、我々は時間とともに迅速に発展しています。だからこそ、我々の専門家たちの研究と分析によって開発されたTCC-C01問題集は高質量で的中率が高いですから、我々はあなたのTCC-C01試験に一発合格できるのを保証しています。

弊社のGoShikenはIT認定試験のソフトの一番信頼たるバンドになるという目標を達成するために、弊社はあなたに最新版のTableauのTCC-C01試験問題集を提供いたします。弊社のソフトを使用して、ほとんどのお客様は難しいと思われているTableauのTCC-C01試験に順調に剛角しました。これも弊社が自信的にあなたに商品を薦める原因です。もし弊社のソフトを使ってあなたは残念で試験に失敗したら、弊社は全額で返金することを保証いたします。すべてのことの目的はあなたに安心に試験に準備さされるということです。

>> TCC-C01テスト問題集 <<

TCC-C01学習体験談、TCC-C01試験復習

この機会を歓迎したいとお約束します。学習ツールとしてTCC-C01テスト問題を選択すると、試験のために勉強して自己規律を養うことができます。TCC-C01最新の質問は多様な教育方法を採用します。 TCC-C01学習問題集で学習します。 TCC-C01試験の質問はTCC-C01試験に合格するのに役立ち、TCC-C01練習エンジンを気に入っていただけることを願っています。

Tableau Certified Consultant 認定 TCC-C01 試験問題 (Q53-Q58):

質問 # 53
An online sales company has a table data source that contains Order Date. Products ship on the first day of each month for all orders from the previous month.
The consultant needs to know the average number of days that a customer must wait before a product is shipped.
Which calculation should the consultant use?

• A. Calc1: DATETRUNC ('month', DATEADD('month', 1, [Order Date]))
  Calc2: AVG(DATEDIFF ('week', [Order Date], [Calc1]))
• B. Calc1: DATETRUNC ('day', DATEADD ('day', 31, [Order Date]))
  Calc2: AVG ([Order Date] - [Calc1])
• C. Calc1: DATETRUNC ('month', DATEADD ('month', 1, [Order Date]))
  Calc2: AVG(DATEDIFF ('day', [Order Date], [Calc1]))
• D. Calc1: DATETRUNC ('day', DATEADD('week', 4, [Order Date]))
  Calc2: AVG([Order Date] - [Calc1])

正解：C

解説：
The correct calculation to determine the average number of days a customer must wait before a product is shipped is to first find the shipping date, which is the first day of the following month after the order date. This is done usingDATETRUNC('month', DATEADD('month', 1, [Order Date])). Then, the average difference in days between the order date and the shipping date is calculated usingAVG(DATEDIFF('day', [Order Date],
[Calc1])). This approach ensures that the average wait time is calculated in days, which is the most precise measure for this scenario.
References:The solution is based on Tableau's date functions and their use in calculating differences between dates, which are well-documented in Tableau's official learning resources and consultant documents12.
To calculate the average waiting days from order placement to shipping, where shipping occurs on the first day of the following month:
* Calculate Shipping Date (Calc1): Use the DATEADD function to add one month to the order date, then apply DATETRUNC to truncate this date to the first day of that month. This represents the shipping date for each order.
* Calculate Average Wait Time (Calc2): Use DATEDIFF to calculate the difference in days between the original order date and the calculated shipping date (Calc1). Then, use AVG to average these differences across all orders, giving the average number of days customers wait before their products are shipped.
References:
* Date Functions in Tableau: Functions like DATEADD, DATETRUNC, and DATEDIFF are used to manipulate and calculate differences between dates, crucial for creating metrics that depend on time intervals, such as customer wait times in this scenario.

質問 # 54
A consultant migrated a data source to improve performance. The consultant wants to identify which workbooks need to be updated to point to the new data source.
Which Tableau tool should the consultant use?

• A. Tableau Advanced Management
• B. Activity Log
• C. Prep Conductor
• D. Data Management

正解：A

解説：
To identify which workbooks need to be updated to point to a new data source after a migration, a consultant should use Tableau Advanced Management. This component of Tableau provides comprehensive management capabilities including the ability to track workbook dependencies and data source usage across your entire Tableau environment. Using Tableau Advanced Management allows consultants to assess the impact of changes in the data source on connected workbooks and efficiently manage updates.

質問 # 55

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:\CC\Data\.
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:\CC\Data\.

正解：

解説：
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:\CC\Data\ 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.

質問 # 56
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. Radar Chart
• B. Tree Chart
• C. Sankey Diagram
• D. Chord Chart

正解：C

解説：
To visualize the path students take as they change majors across different grade levels, a Sankey Diagram is highly effective. This type of visualization illustrates the flow and quantity between different stages or categories:
* Sankey Diagram: It allows for a visual representation of students' movements between majors over time. Each flow's thickness is proportional to the number of students moving from one major to another, giving a clear, immediate visual cue of major popularity and student migration patterns.
* To create a Sankey Diagram in Tableau, you typically need to prepare the data specifically for this type of chart. The data must include source (starting major), target (ending major), and the value (number of students). It often requires custom calculations and data reshaping to get the data in a format that a Sankey can use.
* Once the data is prepared, you can use a combination of calculated fields, path binning, and line charts to simulate the flow effect in Tableau. External plugins or web-based integrations might also be employed for more direct implementations.
ReferencesSankey Diagrams are not natively supported in Tableau but can be implemented through creative use of data preparation and calculations, as suggested in advanced Tableau user communities and demonstrated in various Tableau public galleries.

質問 # 57
Use the following login credentials to sign in
to the virtual machine:
Username: Admin
Password:
The following information is for technical
support purposes only:
Lab Instance: 40201223
To access Tableau Help, you can open the
Help.pdf file on the desktop.

From the desktop, open the CC workbook.
Open the Categorical Sales worksheet.
You need to use table calculations to
compute the following:
. For each category and year, calculate
the average sales by segment.
. Create another calculation to
compute the year-over-year
percentage change of the average
sales by category calculation. Replace
the original measure with the year-
over-year percentage change in the
crosstab.
From the File menu in Tableau Desktop, click
Save.

正解：

解説：
See the complete Steps below in Explanation:
Explanation:
To compute the required calculations and update the worksheet in Tableau Desktop, follow these steps:
* Compute Average Sales by Segment for Each Category and Year:
* Open the CC workbook and navigate to the Categorical Sales worksheet.
* Drag the 'Sales' field to the Rows shelf if it's not already there.
* Drag the 'Segment' field to the Rows shelf as well, placing it next to 'Category' and 'Year'.
* Right-click on the 'Sales' field in the Rows shelf and select 'Quick Table Calculation' > 'Average'.
This will compute the average sales for each segment within each category and year.
* Create a Calculation for Year-over-Year Percentage Change:
* Right-click in the data pane and select 'Create Calculated Field'.
* Name the calculated field something descriptive, e.g., "YoY Sales Change".
* Enter the formula to calculate the year-over-year percentage change:
(ZN(SUM([Sales])) - LOOKUP(ZN(SUM([Sales])), -1)) / ABS(LOOKUP(ZN(SUM([Sales])), -1))
* Click 'OK' to save the calculated field.
* Replace the Original Measure with the Year-over-Year Percentage Change in the Crosstab:
* Remove the original 'Sales' measure from the view by dragging it off the Rows shelf.
* Drag the newly created "YoY Sales Change" calculated field to the Rows shelf where the 'Sales' field was originally.
* Format the "YoY Sales Change" field to display as a percentage. Right-click on the field in the Rows shelf, select 'Format', and adjust the number format to percentage.
* Save Your Changes:
* From the File menu, click 'Save' to ensure all your changes are stored.
References:
* Tableau Help: Offers guidance on creating calculated fields and using table calculations.
* Tableau Desktop User Guide: Provides instructions on formatting and saving worksheets.
These steps allow you to manipulate data within Tableau effectively, using table calculations to analyze trends and changes in sales data by category and segment over years.

質問 # 58
......

TCC-C01試験問題はグローバルなものであるとTableau誇らしく言えます。 したがって、どんな種類のTCC-C01テストトレントを求めても、当社のアフターサービスサービススタッフは、最も専門的な方法でTCC-C01練習問題の問題を解決するお手伝いをします。 TCC-C01のTableau Certified Consultant学習ツールを目指しているお客様は世界中のさまざまな国から来ており、間違いなく時間差があるため、TCC-C01トレーニングガイドで1日24時間、7日間、思いやりのあるGoShikenオンラインアフターサービスを提供します 週に数日、いつでもどこでも気軽にご連絡ください。

TCC-C01学習体験談: https://www.goshiken.com/Tableau/TCC-C01-mondaishu.html

Tableau TCC-C01テスト問題集 特に今日の職場では、さまざまなトレーニング資料やツールが常に混乱を招き、品質をテストする時間を無駄にしています、Tableau TCC-C01テスト問題集 私たちのステップに従ってください、Tableau TCC-C01テスト問題集 試験に失敗したら、弊社は全額で返金します、Tableau TCC-C01テスト問題集 とても便利だと思います、もし君がTableauのTCC-C01に参加すれば、良い学習のツルを選ぶすべきです、そして、TCC-C01学習教材の言語は理解しやすく、理論と実践の最新の開発状況に従ってTCC-C01試験トレントをコンパイルします、ではなぜほとんどの人々はGoShiken TCC-C01学習体験談を選んだのですか。

相手は初めはくすぐったがっていたが、そのうちにくすくす笑いが止まっ(https://www.goshiken.com/Tableau/TCC-C01-mondaishu.html)た、デリゲートギグエコノミーの適切な専門家を見つけ、期待を伝え、マイルストーンを設定し、レポートを確立してシステムをチェックインします。

実用的TCC-C01｜完璧なTCC-C01テスト問題集試験｜試験の準備方法Tableau Certified Consultant学習体験談

特に今日の職場では、さまざまなトレーニング資料やツールが常に混乱を招きTCC-C01過去問無料、品質をテストする時間を無駄にしています、私たちのステップに従ってください、試験に失敗したら、弊社は全額で返金します、とても便利だと思います。

もし君がTableauのTCC-C01に参加すれば、良い学習のツルを選ぶすべきです。

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