TDS-C01日本語問題集で2024年最新のTableau TDS-C01日本語試験問題 [Q171-Q192]

TDS-C01日本語問題集で2024年最新のTableau TDS-C01日本語試験問題

無料で使えるTDS-C01日本語ブレーン問題集でダウンロード（TDS-C01日本語テスト問題集無料更新された)

質問 # 171
次のうち、Tableau でツールヒントのコンテンツを太字にする有効な方法はどれですか?

A. メニューバーの [ワークシート] をクリックし、続いて [ツールヒント] をクリックして、太字のオプションを選択します。
B. [マーク] カードの [ツールヒント] をクリックし、[太字] を選択します。
C. [分析]、[ツールヒントオプション] をクリックし、太字を選択します。
D. 右クリックして [書式] をクリックし、既定のワークシートの書式設定で [ツールヒント] を選択して太字にします。

正解：A、B、D

解説：
Lot of students have been seeing this question in the exam lately, and wanted me to include this question so here it is. Follow along -
1) Click on Worksheet in the Menu bar, followed by Tooltip and select the bold option

2) Click on Tooltip in the Marks card, and select bold.

3) Right click, click format and then under the default worksheet formatting, choose Tooltip and make it bold.

There exists no option to Bold the tooltip contents by clicking Analysis. Hence, it is an incorrect choice.

質問 # 172
Union のフィールド名が一致しない場合は、次のようになります。

A. NULL 値を持つユニオンにフィールド名が 1 つだけ存在する
B. Tableau がフィールド名の不一致を自動的に修正するため、Union には正しい値を持つフィールド名が 1 つだけ存在します。
C. 両方のフィールド名がユニオンに存在しますが、いくつかの null が含まれています
D. エラーが発生し、両方のフィールドが結果のユニオンから削除されます

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 # 173
Sales という名前の連続数値メジャーがあります。
Sales メジャーをダブルクリックすると、どのグラフの種類が作成されますか?

A. 円グラフ
B. 折れ線グラフ
C. テキストテーブル
D. 棒グラフ

正解：D

解説：
When you double-click a continuous numeric measure named Sales in Tableau, it automatically creates a bar chart. Tableau's default behavior for a single measure is to display it as a bar chart, with the measure values represented on the Y-axis and an automatic range on the X-axis.

質問 # 174
次のようなビジュアライゼーションが得られます。

[セットの作成] オプションを選択すると、どのセットタイプが作成されますか?

A. 動的セット
B. 固定セット
C. 上位 N セット
D. 結合セット

正解：A

解説：
When you use the 'Create Set' option in Tableau, it creates a dynamic set if the conditions for inclusion in the set are based on a calculation or an aggregation that may change as the data is updated or as filters are applied.
Fixed sets are static and do not change with data refreshes, while dynamic sets can update to reflect the current state of the data.

質問 # 175
有効なダッシュボードサイズオプションは次のうちどれですか?

A. 範囲
B. スケーリング
C. 固定サイズ
D. 自動

正解：A、C、D

解説：
Scaled is NOT a valid size options when creating Dashboards in Tableau!
After you create a dashboard, you might need to resize and reorganize it to work better for your users.

質問 # 176
ビジュアライゼーションでデータを削除せずに特定のデータに注目するのに役立つのは、次のうちどれですか?

A. クラスタ
B. フィルター
C. 蛍光ペン
D. セット

正解：C

解説：
From the official documentation:
When you have a view with a large amount of data you might want to explore your data interactively and highlight a specific mark or group of marks while still maintaining the context of where those marks show in your view.
To do this you can turn on the Highlighter for one or more discrete fields that are included in your view and that affect the level of detail Example - Here we just want to focus on Public Affairs college dimension, but don't want to filter out or remove the rest of the data:
Chart, scatter chart Description automatically generated

Note that filtering is not the correct option since that would REMOVE the data that doesn't match the filtering criteria.
Reference : https://help.tableau.com/current/pro/desktop/en-us/actions_highlight_highlighter.htm

質問 # 177
拡大画像

このビューは Tableau では何と呼ばれていますか?

A. 窓ガラス
B. 寸法と寸法
C. 分析ペイン
D. データペイン

正解：D

解説：
Tableau displays data source connections and data fields for the workbook in the Data pane on the left side of the workspace.
The Data pane includes:
Dimension fields - Fields that contain qualitative values (such as names, dates, or geographical data). You can use dimensions to categorize, segment, and reveal the details in your data. Dimensions affect the level of detail in the view. Examples of dimensions include dates, customer names, and customer segments.
Measure fields - Fields that contain numeric, quantitative values can be measured. You can apply calculations to them and aggregate them. When you drag a measure into the view, Tableau applies an aggregation to that measure (by default). Examples of measures: sales, profit, number of employees, temperature, frequency.
For more information on what dimensions and measures are, see Dimensions and Measures, Blue and Green.
Calculated fields - If your underlying data doesn't include all of the fields you need to answer your questions, you can create new fields in Tableau using calculations and then save them as part of your data source. These fields are called calculated fields.
For more information on calculated fields, see Create Custom Fields with Calculations.
Sets - Subsets of data that you define. Sets are custom fields based on existing dimensions and criteria that you specify. For more information, see Create Sets.
Named sets from an MS Analysis Services server or from a Teradata OLAP connector also appear in Tableau in this area of the Data pane. You can interact with these named sets in the same way you interact with other custom sets in Tableau.
Parameters - Values that can be used as placeholders in formulas, or replace constant values in calculated fields and filters. For more information, see Create Parameters.

質問 # 178
二軸グラフを作成した後に行うべき最も重要なことは何ですか?

A. ラベルを編集します
B. 色を変える
C. 軸を同期する
D. 軸を非表示にします

正解：C

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.

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.

質問 # 179
ツールヒントのテキストの太字オプションにアクセスする 3 つの方法は何ですか? 3つ選んでください。

A. マークの上にマウスを置き、ALT+F を押します。
B. フィールドを右クリックし、「形式」を選択します。
C. メニューで [形式] を選択し、次に [フォント] を選択します。
D. マークの上にマウスを置き、CTRL+B を押します。
E. メニューで「ワークシート」を選択し、「ツールチップ」を選択します。
F. [マーク] カードの [ツールチップ] を選択します。

正解：B、E、F

解説：
To access bolding options for the text in a tooltip in Tableau, you can:
* Select Tooltip on the Marks card, which allows you to edit the tooltip for the specific marks.
* Select Worksheet on the menu, and then Tooltip, to open the tooltip editor for the worksheet.
* Right-click on the Field and select Format, which lets you format the text including bolding options in the tooltip.

質問 # 180
Tableau でダッシュボードを作成するときに有効なオブジェクトは次のうちどれですか? 4 を選択します。

A. ビデオ
B. 拡張子
C. 画像
D. テキスト
E. ウェブページ

正解：B、C、D、E

解説：
Video is NOT a valid object type while creating dashboards in Tableau! All others are valid object types.

質問 # 181
基準線を追加できるのは次のうちどれですか?

A. 寸法
B. 計算フィールド
C. 対策
D. グループ

正解：B、C

解説：
You can add reference lines, bands, distributions, or (in Tableau Desktop but not on the web) box plots to any continuous axis in the view.
Reference Lines - You can add a reference line at a constant or computed value on the axis. Computed values can be based on a specified field. You can also include confidence intervals with a reference line.

質問 # 182
正誤問題: LEFT JOIN または INNER JOIN は、結合基準が満たされるたびに行を作成するため、行が重複する可能性があります。これを回避する 1 つの方法は、代わりにデータブレンディングを使用することです。

A. 偽
B. 真

正解：B

解説：
Joins combine tables by adding more columns of data across similar row structures. This can cause data loss or duplication if tables are at different levels of detail, and joined data sources must be fixed before analysis can begin.

Inner join

Left Join
Blends, unlike relationships or joins, never truly combine the data. Instead, blends query each data source independently, the results are aggregated to the appropriate level, then the results are presented visually together in the view.

質問 # 183
atheletes テーブルの使用:
i) 各スポーツの平均体重を示すクロスタブを含むシートを作成します (シート 1) ii) 国ごとの金メダルの総数を示すマップを含むシートを作成します。サイズは目安としてご利用ください。(シート 2) 次に、これらのシートを両方含むダッシュボードを作成し、シート 2 をシート 1 のフィルターとして使用します。ロシアでのバドミントンの平均体重は?
(ヌル/未知数は無視)

A. 65.67
B. 68.77
C. 76.25
D. 4.87

正解：C

解説：
Pretty common question on the Tableau Desktop Specialist exam.
1) First, lets create Sheet 1. For this, drag sport to the Row shelf, and Weight to the Text mark in the Marks shelf. Change its aggregation to Average:

2) Now, for sheet 2 - Drag nationality to the view, and gold to the size mark in the Marks shelf.
NOTE: Depending on your version of Tableau , you may need to assign a Geographical role to the nationality column first as follows:

3) Now, let's create a dashboard, and use both these sheets in it:

4) Now, for the most Important step, use SHEET 2 AS A FILTER FOR SHEET 1 as follows:

Now simply click on Russia in Sheet 2, and Sheet 1 will automatically update as follows:

質問 # 184
地理データテーブルを使用して、州ごとの売上を示すマップを作成します。ニューヨーク州 (NY) での、白色の電話機の品揃えの売上高 ($) はいくらですか?

A. $16,581
B. $33,768
C. $147,950
D. $48,115
E. (正解)

正解：A

解説：
Phew! Tricky one! You needed to use filters in this one.
Follow along:

2) Next, as the question mentions, we need to focus on the Assortment PHONE, the color WHITE, and the state of NEW YORK. -> so we use filters for this!
i) First drag Assortment to Filters, and select only Phones :

ii) Next, drag Color to Filters and Choose only White:

iii) Next, drag State ID to Filters, and choose New York (NY):

And Voila! We have our answer as follows:

iv) Last, drag Sales to Label:

質問 # 185
Excel、テキストファイルデータ、JSON ファイル、.pdf ファイルデータを操作する場合、_________________ を使用してフォルダー間でファイルを結合し、ワークブック間でワークシートを結合できます。検索は、選択した接続に限定されます。

A. ユニオン検索
B. パターン検索
C. 正規表現検索
D. ワイルドカード検索

正解：D

解説：
You can use Wildcard Search to set up search criteria to automatically include tables in your union. Use the wildcard character, which is an asterisk (*), to match a sequence or pattern of characters in the Excel workbook and worksheet names, Google Sheets workbook and worksheet names, text file names, JSON file names, .pdf file names, and database table names.
When working with Excel, text file data, JSON file, .pdf file data, you can also use this method to union files across folders, and worksheets across workbooks. Search is scoped to the selected connection. The connection and the tables available in a connection are shown on the left pane of the Data source page.

質問 # 186
次の目的でコンテキストフィルタを作成できます。

A. パフォーマンスを向上させる
B. 従属数値または上位 N フィルターを作成します。
C. データソースフィルターを置き換えるには
D. 依存フィルターを作成するには

正解：A、B

解説：
Important question! You cannot use a context filter to replace a data source filter since each filter type has its own use case. Also, a content filter is an Independent filter and all other filters are called dependent since they only process the data that passes through a context filter.
According to the official documentation :

質問 # 187
データセットを使用して、LATAM のみを含むように市場でフィルター処理されたすべての国を示すマップをプロットします。LATAM 市場で出荷遅延 (注文日から出荷日までの合計日数) が最も長い国は?

A. ペルー
B. ブラジル
C. メキシコ
D. アルゼンチン

正解：C

解説：
VERY IMPORTANT QUESTION FOR THE EXAM, PAY ATTENTION
1) To find the number of days between order date and shipping date, we will make use of a calculated field:

In the data pane, click on the dropdown arrow, and choose create calculated field.
Let's name this calculated field "ShippingDelay" (you can name it anything you want :) )
2) Use the DATEDIFF() function, and pass it the arguments as follows:

'day' depicts that we want to calculate the number of DAYS between the two dates. The first argument is
'start_date' which is the ORDER_DATE (day the order was placed), the second argument is 'end_date', which is the SHIP_DATE (date the order was shipped). So by subtracting as follows: SHIP_DATE - ORDER_DATE, we can find the delay in shipping.
Click OK.
3) You should now have a new measure as follows:

4) Phew! The hard part is done! Now let's filter by Market to include only LATAM:

5) Drag Country to the view, and the new calculated field 'ShippingDelay' to SIZE on the Marks Shelf as follows:
*You can also click on Show Text Labels to be sure that you're choosing the Largest value*

Clearly, Mexico has the highest Shipping Delay!

質問 # 188
ダッシュボードオブジェクトに URL アクションを展開して、システムの Web ブラウザを開くのではなく、ダッシュボード内で Web ページを開くことはできますか?

A. はい、Web ページオブジェクトを使用してこれを行うことができます。
B. いいえ、これは現在 Tableau では不可能です
C. はい、Tableau Public の助けを借りてこれを行うことができます
D. はい、プラグインを使用してこれを行うことができます

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 # 189
メンバーを比較するには、次のセットのどれを使用しますか?

A. 複合セット
B. 静的セット
C. 動的セット
D. これらのいずれでもない

正解：A

解説：
You can combine two sets to compare the members. When you combine sets you create a new set containing either the combination of all members, just the members that exist in both, or members that exist in one set but not the other.
Combining sets allows you to answer complex questions and compare cohorts of your data. For example, to determine the percentage of customers who purchased both last year and this year, you can combine two sets containing the customers from each year and return only the customers that exist in both sets.
To combine two sets, they must be based on the same dimensions. That is, you can combine a set containing the top customers with another set containing the customers that purchased last year. However, you cannot combine the top customers set with a top products set.

質問 # 190
連続した日付値を [行] シェルフにドラッグした場合の 2 つの結果は何ですか? ２つ選んで、

A. 日付部分をラベルとして表示します。
B. 定量軸を示します。
C. Rows 棚の錠剤は緑色です。
D. Rows の棚にある錠剤は青色です。

正解：B、C

解説：
Dragging a continuous date value to the Rows shelf in Tableau results in a green pill on the Rows shelf, indicating a continuous field. It also results in a quantitative axis being displayed on the visualization.
Continuous fields are used to create axes on charts and can represent a range of values smoothly. This is opposed to discrete date values, which would be represented by a blue pill and typically show headers or labels rather than a continuous axis.

質問 # 191
Tableau バージョン 2020.3 以降で結合を定義する正しい方法は次のうちどれですか?

A. 物理テーブルを右クリックし、[開く] をクリックして、論理レイヤーの結合/結合キャンバスに移動し、結合または結合を追加します。
B. 論理テーブルを右クリックし、[開く] をクリックして、物理レイヤーの結合/結合キャンバスに移動し、結合または結合を追加します。
C. 物理テーブルをダブルクリックして、論理レイヤーの結合/結合キャンバスに移動し、結合または結合を追加します。
D. 論理テーブルをダブルクリックして、物理レイヤーの結合/結合キャンバスに移動し、結合または結合を追加します。

正解：B、D

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