無料Tableau TDS-C01テスト練習問題試験問題集
試験準備には欠かさない！トップクラスのTableau TDS-C01試験最新版アプリ学習ガイドで練習
Tableau TDS-C01認定試験は、Tableau Desktopのスキルと知識を証明したい個人にとって重要なステップです。この認定は世界中の組織に認められており、個人にとっては就職市場で競争力を持つことができます。Tableau Desktopは強力なデータ分析と可視化ツールです。TDS-C01認定は、このツールを効果的に使用するスキルと専門知識を示す素晴らしい方法です。
質問 # 71
You need to invert the color intensity of a quantitative range. Which option should you use?
- A. Opacity
- B. Border
- C. Reversed
- D. Stepped Color
正解：C
解説：
To invert the color intensity of a quantitative range in Tableau, you should use the "Reversed" option. This option inverts the color scheme so that the colors representing the higher values are swapped with those representing the lower values. For example, if a color scale initially shows dark colors for high values and light colors for low values, using "Reversed" will switch this so that dark colors represent low values and light colors represent high values. This option is particularly useful for better visual distinction and interpretation in certain data scenarios.
質問 # 72
True or False: Physical tables remain distinct (normalized), not merged in the data source whereas logical tables are merged into a single, flat table.
- A. False
- B. True
正解：A
解説：
In fact, the opposite of this is true.
Trick : Whenever you think of joins -> Think that after the join is created, we get 1 single flat combined (joined) table. This flat combined table is created prior to us creating our visualizations. This happens at the physical layer.
If you ever think about relationships, know that all tables will remain distinct and separate, and relationships sit at the logical layer. At run time, when you bring in the dimensions and measures to create your viz, Tableau very smartly creates the necessary joins, relates the tables and sends queries to these tables to get the resultant data back in the most meaningful way possible. This allows you to focus on using your data and revealing insights from it and focus less on the data preparation aspect!
Refer to logical layer vs physical layer from the official documentation: https://help.tableau.com/current/server/en-us/datasource_datamodel.htm
質問 # 73
Which of the following are valid ways to show Mark Labels in the visualisation?
- A. Click on Data in the Menu bar and Choose Show Mark Labels
- B. Click on Analysis in the Menu bar and choose Show Mark Labels
- C. Drag the measure to the Text label in the Marks Card
- D. Click on the Show mark labels icon in the Toolbar
正解：B、C、D
解説：
Explanation
The following showcase how you can show mark labels. Using the Sample Superstore dataset:
1) Let's create a Bar chart showing the sales for each sub-category:
2) Now you can show labels by:
2.1) Click on Show Mark Labels Icon in the Toolbar ( easiest )
2.2) Drag Sales to the Text icon in the Marks Card:
2.3) Click on Analysis -> Show mark labels from the Tableau menu bar:
質問 # 74
How can you format numbers in Tableau as currency?
- A. Right-click on the Sheet name and select Format. Then in the Format pane, click the Numbers drop-down menu.
- B. Right-click on the data source used in the view and select Format. Then in the Format pane, click the Numbers drop-down menu.
- C. Right-click a measure or axis in the view and select Format. Then in the Format pane, click the Numbers drop-down menu.
- D. Right-click a dimension in the view and select Format. Then in the Format pane, click the Numbers drop-down menu.
正解：C
解説：
According to the official Tableau documentation:
質問 # 75
When there are both negative and positive values for a field, the default range of values will use two color ranges. This is known as a ______________ palette.
- A. converging
- B. diverging
- C. stepped
- D. reversed
正解：B
解説：
質問 # 76
In order to avoid any confusions, what should you do after creating a Dual-axis chart?
- A. Edit the labels
- B. Synchronise the axis
- C. Hide the axis
- D. Change the colours
正解：B
解説：
After creating a dual axis chart, make sure to synchronise their axis since they both might not be having the same y-axis.
Graphical user interface, chart, line chart Description automatically generated
To align the two axes in a dual axes chart to use the same scale, right-click (control-click on Mac) the secondary axis, and select Synchronize Axis. This aligns the scale of the secondary axis to the scale of the primary axis.
In this example, the Sales axis is the secondary axis and the Profit axis is the primary axis.
If you would like to change which axis is the primary, and which axis is the secondary, select the field on the Columns or Rows shelf that is the secondary, and drag it in front of the primary field on the shelf until you see an orange triangle appear.
In this example, you can select the SUM(Sales) field on the Rows shelf, and drag it in front of the SUM(Profit) field. The Sales axis is now the primary and the Profit axis is the secondary.
Graphical user interface, application Description automatically generated
質問 # 77
Which of the following are the options to export the data used to build the view / visualisations?
- A. PDF File
- B. MS Access Database
- C. JSON format
- D. CSV file
正解：B、D
解説：
You can export the data in a Tableau data source, including all or part of the records from your original data.
Alternatively, you can export only the portion of data used to generate the view.
Since the question mentions the data used to build the view, we'll focus on that :
*Export data in the view to Microsoft Access or .csv*
Export the data that is used to generate the view as an Access database (Windows only) or .csv file (Mac only).
1) In Tableau Desktop, select Worksheet > Export > Data.
2) Select a location and type a name for your Access database or .csv file.
3) Click Save.
4) If you're on Windows, the Export Data to Access dialog box displays to give you the option to immediately use the new Access database and continue working in Access without interrupting your work flow.
Graphical user interface, text, application, email Description automatically generated
質問 # 78
If you use a percent difference Quick Table Calculation, what value will be the first data value?
- A. null
- B. 0000
- C. 0
- D. 1
正解：A
解説：
When using a Percent difference, Tableau calculates what the percent change has occured as compared to the last data value. BUT, for the first data value, there is no previous value to compare it to. Hence, it appears as NULL.
質問 # 79
As a general best practice, how many categories can a pie chart display effectively?
- A. 3 to 5
- B. 3 to 7
- C. 2 to 8
- D. 2 to 5
正解：D
解説：
As a general best practice, your pie chart should contain 2 to 5 categories. Anything more than that is not easy for the eyes to distinguish. This is a common question and mentioned in Tableau's own eLearning module as well!
See how to build a pie chart:
質問 # 80
Yes or No: The number of marks will increase when you increase the number of Dimensions in a view
- A. No
- B. Yes
正解：B
解説：
Of course! As an example, see below:
1) Using the Sample Superstore data, let's plot a bar chart showing the Sales for each Category:
Observe that we have 3 marks - Each bar in a bar chart is called a mark. Similarly, each point in a scatter plot is also a mark , and so on for all charts.
1 row by 3 columns means that clearly on the y-axis (Sales), we have only a single mark - a single continous axis, but 3 different marks (Technology, Furniture and Office supplies ) on the x-axis.
2) Now let's add subcategory to the view as well (another dimension):
Observe that the number of marks has increased - i.e the number of Bars.
Also, notice we now have 1 row and 17 columns. Simply because 1 row = Sales (on the y-axis), and on the x-axis, we have 17 different columns (i.e product sub categories!!)
質問 # 81
Question 30: Skipped
Using the CoffeeChain table, create a scatter plot of Profit (x-axis) vs Sales (y-axis) broken down by State.
Add a Linear trend line to the view. What is its R-squared value?
- A. 0.759329
- B. 0.739284
- C. 0.783262
- D. 0.748472
正解：C
解説：
Explanation
Trend lines have become popular questions in recent Tableau examinations. Follow along:
1) First drag Sales to the Rows shelf and Profit to the Columns shelf:
c
You will only see a single mark since the view is aggregated.
2) Now, break down this view by state. Drag State into Detail on the Marks shelf ( or directly to the view):
3) Finally, move to the Analytics pane, and drag Trend line to the view. When you drag it, select the Linear option!:
4) The following is our view. Hover over the trend line to see the R-squared value:
質問 # 82
Which of the following charts types always includes bars sorted in descending order?
- A. Pareto Chart
- B. Pie Chart
- C. Stacked Bar Chart
- D. Gantt Chart
正解：A
解説：
A Pareto chart is a type of chart that contains both bars and a line graph, where individual values are represented in descending order by bars, and the ascending cumulative total is represented by the line.
On the primary axis, bars are used to show the raw quantities for each dimension member, sorted in descending order.
On the secondary axis, a line graph is used to show the cumulative total in percent format.
質問 # 83
Using the Time Series table, create a cross-tab showing sales for each Assortment broken down by Year and Quarter. In Q4 of October 2017, what was the Average sales amount for the Hardware assortment?
- A. 111,060
- B. 1,461
- C. 112,256
- D. 1,222
正解：C
解説：
If you chose 111,060 you were SO close to the correct answer but made a small mistake - you didn't change the aggregation to AVERAGE! This is one of the common mistakes many test takers make, so keep this in mind.
To reach the correct answer, follow the steps below:
1) Draw Assortment to the Column shelf, and drag Year to the Rows Shelf. Then Drill down further on Year to accomodate Quarters and Months as well!
Although this seems enough, DON'T FORGET to change the aggregation like in the next step, which will completely change the values!
The correct answer as you can see is 1,461 - Sales for Harware Assortment in 2017 Q4, October
質問 # 84
Which two actions can you perform when you join tables from multiple connections? Choose two.
- A. Use a stored procedure.
- B. Add a data source filter.
- C. Create a union.
- D. Create an extract.
正解：B、D
解説：
You can perform two actions when you join tables from multiple connections: add a data source filter and create an extract. A data source filter is a filter that you can apply to the data source before it is loaded into Tableau. This can help improve performance and reduce the amount of data in the view. A data source filter can be applied to any data source, including those that use cross-database joins2 An extract is a snapshot of data that is stored locally on your computer or on Tableau Server. An extract can also improve performance and enable offline analysis. You can create an extract from any data source, including those that use cross-database joins3 You cannot perform the other two actions when you join tables from multiple connections: create a union or use a stored procedure. A union is a method for combining data by appending rows of one table onto another table. To union your data in Tableau, the tables must come from the same connection. You cannot union tables from different data sources or connections4 A stored procedure is a set of SQL statements that can be executed on a database server. Tableau does not support using stored procedures as part of a cross-database join. You can only use stored procedures with some single-connection relational data sources, such as Microsoft SQL Server, Oracle, or PostgreSQL5
質問 # 85
Most viewers scan content starting at the _____________ of a page.
- A. center
- B. top left
- C. bottom right
- D. top right
- E. bottom left
正解：B
解説：
According to Tableau's official documentation:
A picture containing application Description automatically generated
質問 # 86
If you use a percent difference Quick Table Calculation, what value will be the first data value?
- A. null
- B. 0000
- C. 0
- D. 1
正解：A
解説：
When using a Percent difference, Tableau calculates what the percent change has occured as compared to the last data value. BUT, for the first data value, there is no previous value to compare it to. Hence, it appears as NULL.
質問 # 87
A field that shows average home values for the United States in 2016 is most likely :
- A. A continuous date value dimension
- B. An aggregated measure
- C. A geographical dimension
- D. A discrete date part dimension
正解：B
解説：
This question is directly from the Official Tableau Desktop Specialist exam guide.
Since we are talking about the AVERAGE home values for the United States in 2016, the question is directly offering us a hint that the answer has something to do with aggregation and that too the values tell us that we're working with MEASURES.
Date part and Date values don't really make much sense given the question, and neither does geography.
Therefore, the answer naturally is "An aggregated measure".
質問 # 88
......
今すぐTDS-C01問題を使おうTDS-C01問題集PDF：https://www.jpntest.com/shiken/TDS-C01-mondaishu
問題集練習試験問題学習ガイドはTDS-C01試験にはこれ：https://drive.google.com/open?id=1rqdMvnZPxKShaDsm5HIq5a-GI-AE0Yx7