[2024年07月22日]TDS-C01試験問題集を試そう！ベストTDS-C01試験問題
検証済みのTDS-C01テスト問題集で正確な315問題と解答
TDS-C01試験の準備には、Tableauがオンライントレーニングコース、練習問題、認定試験の準備ガイドなどのリソースを提供しています。これらのリソースは、Tableau Desktopの知識とスキルを構築し、試験に自信を持つことができるようにサポートします。
質問 # 159
Which of the following are true about Dashboards in Tableau?
- A. A bar chart can be used a floating item
- B. Floating items can be layered over other objects
- C. None of these
- D. Tiled items don't overlap
正解：A、B、D
解説：
From the official Tableau documentation:
As we can see below, Bar charts can be used as a floating object.
質問 # 160
The row and column shelves contain ___________________
- A. Filters
- B. Grand Totals
- C. Parameters
- D. Pills
正解：D
解説：
We can drag fields from the Data pane to create the structure for your visualizations.
The Columns shelf creates the columns of a table, while the Rows shelf creates the rows of a table. You can place any number of fields on these shelves.
These FIELDS are also referred to as PILLS. See below:
質問 # 161
Which of the following shapes does a Heat Map use by default?
- A. Text
- B. Circle
- C. Line
- D. Square
正解：D
解説：
By default, the shape that a Heap map uses is a "Square". See below:
質問 # 162
Which of the following are correct ways to define a join in Tableau version 2020.3 and above?
- A. Right-click a physical table and click on open to go to the Join/Union canvas in the logical layer and add joins or unions.
- B. Double-click a logical table to go to the Join/Union canvas in the physical layer and add joins or unions.
- C. Right-click a logical table and click on open to go to the Join/Union canvas in the physical layer and add joins or unions.
- D. Double-click a physical table to go to the Join/Union canvas in the logical layer and add joins or unions.
正解：B、C
解説：
Remember that joins are defined in the physical layer and relationships in the logical layer.
You can still specify joins between tables in the physical layer of a data source. Double-click a logical table to go to the Join/Union canvas in the physical layer and add joins or unions.
Every top-level, logical table contains at least one physical table. Open a logical table to view, edit, or create joins between its physical tables. Right-click a logical table, and then click Open. Or, just double-click the table to open it.
When you create a data source, it has two layers. The top-level layer is the logical layer of the data source.
You combine data between tables in the logical layer using relationships.
The next layer is the physical layer of the data source. You combine data between tables at the physical layer using joins. For more information, see Logical and physical tables in the data model
質問 # 163
True or False: A sheet cannot be used within a story directly. Either sheets should be used within a dashboard, or a dashboard should be used within a story.
- A. rue
- B. False
正解：B
解説：
It is possible in Tableau to use a sheet within a story directly.
Moreover, in Tableau, a story is a sequence of visualizations that work together to convey information. You can create stories to tell a data narrative, provide context, demonstrate how decisions relate to outcomes, or to simply make a compelling case.
At the same time, a story is also a collection of sheets, arranged in a sequence. Each individual sheet in a story is called a story point.
質問 # 164
What term is used to describe the following picture?
- A. Parameter
- B. Larger image
- C. Hierarchy
- D. Group
- E. Set
正解：E
解説：
When you connect to a data source, Tableau automatically separates date fields into hierarchies so you can easily break down the viz. You can also create your own custom hierarchies. For example, if you have a set of fields named Region, State, and County, you can create a hierarchy from these fields so that you can quickly drill down between levels in the viz.
質問 # 165
What does it imply if a field has a blue background?
- A. It is discrete
- B. It is a measure
- C. It is a dimension
- D. It is continuous
正解：A
解説：
When you connect to a new data source, Tableau assigns each field in the data source as dimension or measure in the Data pane, depending on the type of data the field contains. You use these fields to build views of your data.
質問 # 166
If you see the following Filter, then you're working with _______________________ Larger image
- A. Date Values
- B. Date Functions
- C. Grouped Dates
- D. Date Parts
正解：A
解説：
Dates in Tableau will behave differently depending on whether they are a Datepart (blue) or a Datevalue (green). This affects how the axes display/behave and also how visualisations such as line charts will display. The difference essentially boils down to Dateparts behaving like a dimension as opposed to a measure which is how Datevalues behave. This means that Dateparts behave like discrete categories on the view whereas Datevalues are more like continuous numeric values.
Dateparts are discrete and they behave the same as dimension filters. If all dates are used on the filter then each individual date will be a datepart that can be selected/excluded. This is the same for each level of date, if datepart months is placed on filters January to December will be tick-able options in the filter. This also means that conditions and top/bottom filters can be applied to datepart filters like any other dimension filter.
Datevalues placed on filters behave like measure filters. A min and a max date can be set and there is a relative dates option which allows you to choose things like only show the previous 3 months or years etc.
質問 # 167
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 # 168
Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment. For the Electronics assortment, which Month had the most NEGATIVE value of Year over Year Growth?
Using the Time Series Table, create a Line chart showing the Monthly Year over Year Growth for the Sales, broken down by Assortment. For the Electronics assortment, which Month had the most NEGATIVE value of Year over Year Growth?
- A. October
- B. September
- C. July
- D. June
正解：A
解説：
Follow along:
1) Drag Assortment and Year ID (choose Discrete Month) to Columns shelf, and Sales to the Columns Shelf.
For sales, click on the pill -> choose Quick Table calculation -> Year over Year growth.
The view should now look like:
It is clear that October with -55.3% had the lowest Year on Year growth.
質問 # 169
Which of the following are required to create a trend line?
- A. 2 measures on opposing axes, or a date and a measure on
opposing axes. - B. 1 measure only
- C. 1 measure, or a date and a dimension on opposing axes.
- D. 2 dimensions, or a date and a dimension on opposing axes.
正解：A
解説：
To create a trend line, we need:
質問 # 170
True or False: We can disaggregate the data, to see all of the marks in the view at the most detailed level of granularity
- A. False
- B. True
正解：B
解説：
Whenever you add a measure to your view, an aggregation is applied to that measure by default. This default is controlled by the Aggregate Measures setting in the Analysis menu.
If you decide you want to see all of the marks in the view at the most detailed level of granularity, you can disaggregate the view. Disaggregating your data means that Tableau will display a separate mark for every data value in every row of your data source.
To disaggregate all measures in the view:
Clear the Analysis >Aggregate Measures option. If it is already selected, click Aggregate Measures once to deselect it.
質問 # 171
True or False: You get different filtering options for categorical and quantitative data
- A. False
- B. True
正解：B
解説：
Yes! We get different options for filtering depending on whether we use a categorical data (think dimension) or quantitative data (think measure).
Important Note: Each tab adds additional definitions to your filter. For example, you can select to exclude values under the General tab, and also add limits under the Top tab. Selections and configurations from both tabs are applied to your filter. At any time, you can see the definitions of your filter under Summary on the General tab.
Note: If you have a large data source, filtering measures can lead to a significant degradation in performance. It is sometimes much more efficient to filter by creating a set containing the measure and then apply a filter to the set. For more information about creating sets, see Create Sets
質問 # 172
If you are working with a huge dataset, which of the following are strong reasons to use a context filter?
- A. To include only the data of interest
- B. To help clean the data
- C. To make the context filter a dependent filter
- D. Improve query performance
正解：A、D
解説：
By default, all filters that you set in Tableau are computed independently. That is, each filter accesses all rows in your data source without regard to other filters. However, you can set one or more categorical filters as context filters for the view. You can think of a context filter as being an independent filter (Option stating - To create a dependent filter eliminated here). Any other filters that you set are defined as dependent filters because they process only the data that passes through the context filter.
You may create a context filter to:
1) Improve performance - If you set a lot of filters or have a large data source, the queries can be slow. You can set one or more context filters to improve performance.
2) Create a dependent numerical or top N filter - You can set a context filter to include only the data of interest, and then set a numerical or a top N filter.
For example, suppose you're in charge of breakfast products for a large grocery chain. Your task is to find the top 10 breakfast products by profitability for all stores. If the data source is very large, you can set a context filter to include only breakfast products. Then you can create a top 10 filter by profit as a dependent filter, which would process only the data that passes through the context filter.
Graphical user interface, application Description automatically generated
質問 # 173
Is it possible to deploy a URL action on a dashboard object to open a Web Page within a dashboard rather than opening the system's web browser?
- A. YES, we can do this with the help of a Web-Page object
- B. YES, we can do this with the help of Tableau Public
- C. NO, this is not currently possible in Tableau
- D. YES, we can do this with the help of a plugin
正解：A
解説：
To interactively display information from the web INSIDE a dashboard, you can use a URL action with a web page object.
For example, you might have a dashboard that shows profits by country. In addition to showing the profit data in your dashboard, you also want to display supplemental information about the countries from a web site.
質問 # 174
_______________ enables us to create workbooks and views, dashboards, and data sources in Tableau Desktop, and then publish this content to our own server.
- A. Tableau Public
- B. Tableau myServer
- C. Tableau Server
- D. Tableau Prep
正解：C
解説：
Tableau SERVER enables us to create workbooks and views, dashboards, and data sources in Tableau Desktop, and then publish this content to our own server.
Moreover, as a Tableau Server administrator you will control who has access to server content to help protect sensitive data. Administrators can set user permissions on projects, workbooks, views, and data sources.
質問 # 175
Using the Geo Data table, create a Bar chart showing the In-Stock percentage for each Color. What is the Average In-Stock percentage for the Color Red? Present your answer correctly upto 2 decimal places.
- A. 95.12%
- B. 96.46%
- C. 97.12%
- D. 99.46%
正解：C
解説：
Not too tough. Follow along the steps:
* Drag Color to Filter and choose Red:
* 3) Now to display the percentage correctly, lets format it. Click on the In Stock % pill in the Row shelf, and select format:
* And your final view will look like :
質問 # 176
When field names in the Union do not match, then:
- A. An error is raised and both fields are dropped from the resulting Union
- B. Only one field name is present in the Union with correct values since Tableau automatically corrects field name mismatch
- C. Both field names are present in the Union, but contain several null
- D. Only one field name is present in the Union with null values
正解：C
解説：
values
Explanation:
By default, both field names are present in the Union, but contain several null values!
When field names in the union do not match, fields in the union contain null values. You can merge the non-matching fields into a single field using the merge option to remove the null values. When you use the merge option, the original fields are replaced by a new field that displays the first non-null value for each row in the non-matching fields.
You can also create your own calculation or, if possible, modify the underlying data to combine the non-matching fields.
For example, suppose you have the following customer purchase information stored in three tables, separated by month. The table names are "May2016," "June2016," and "July2016."
A union of these tables creates the following single table that contains all rows from all tables.
Now suppose a fourth table, "August2016", is added to the underlying data. Instead of the standard "Customer" field name, it contains an abbreviated version called "Cust."
質問 # 177
For creating variable sized bins we use __________________
- A. Table Calculations
- B. Calculated Fields
- C. Groups
- D. Sets
正解：B
解説：
One way to view a measure in Tableau Desktop is to split it into bins. You can think of bins as buckets based on a range of values. For example, say you have a measure that represents age. Instead of aggregating the measure to calculate the average age, you can bin the measure to define age groups: 0-5, 6-10, 11-15, and so on. Then you can count the number of people in each age group.
Create a calculated field for variable bin size
Step 1
Select Analysis > Create Calculated Field.
Step 2
In the Calculated Field dialog box, complete the following steps:
質問 # 178
True or False: The Highlighting action can be disabled for the entire workbook.
- A. False
- B. True
正解：B
解説：
Yes, it is possible to disable highlighting for the entire workbook.
For more information : https://help.tableau.com/current/pro/desktop/en-gb/actions_highlight.htm
質問 # 179
Which of the following are valid ways of Grouping Data?
- A. From the Dimensions Shelf
- B. Using Labels in the View
- C. Using Marks in the view
- D. From the Analytics Pane
正解：A、B、C
解説：
**IMPORTANT QUESTION AND EXPLANATION, PLEASE READ**
3 ways to group data -
1) Marks
2) Labels
3) Dimensions shelf.
*IMPORTANT*
If we Group the data by selecting the marks, then they remain separate marks in the view and then have the same colour. Also, a new group is created in the Dimensions shelf. Example - Using the sample superstore dataset, first plot a bar chart showing sales for each sub-category:
Here, if we Select Phones, Chairs and Storage by selecting the MARKS (Bars), and then group them:
They remain seperate marks (BARS) but are grouped by the same colour.
Now, if we didn't do this, and rather grouped by selecting their Labels (Names):
Then they no longer remain separate Marks (bars) but are rather consolidated into a single Bar:
Finally, we can group directly from the Dimensions shelf as follows:
Now choose Phones, Chairs and Storage and Click Group:
You will now automatically have a new Dimension as follows:
質問 # 180
How would you calculate GDP per capita in Tableau?
- A. SUM([GDP]/[POPULATION])
- B. SUM([Population]/[GDP]])
- C. SUM([GDP]) / SUM([Population])
- D. SUM([GDP]*[POPULATION])
正解：C
解説：
GDP / Population = GDP Per Capita
Here Sum is a function, / and + are operators. On the bottom there are comments.
質問 # 181
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Tableau TDS-C01（Tableau Desktop Specialist）試験は、Tableau Desktopを使用してデータを分析・可視化することに興味がある個人の知識とスキルをテストするために設計された認定試験です。これは、Tableauに新しい人が、ソフトウェアの使用に熟練していることを示したいと思う個人に適した入門レベルの認定試験です。試験は、データ接続、データ分析、計算、および可視化など、さまざまなトピックをカバーしています。
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