Salesforce Analytics-DA-201過去問題 & Analytics-DA-201関連日本語版問題集

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Salesforce Analytics-DA-201 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Create Content: This domain involves building visualizations like charts, dashboards, and stories to present data insights clearly. It also focuses on adding interactivity, formatting, and designing responsive dashboards to enhance user experience and data communication.
トピック 2	Publish and Manage Content on Tableau Server and Tableau Cloud: This section covers publishing workbooks, data sources, and flows to Tableau Server or Cloud for sharing and collaboration. It also includes managing content through scheduling refreshes, setting permissions, and creating alerts, subscriptions, and custom views.
トピック 3	Connect To and Transform Data: This domain focuses on connecting to various data sources such as files, databases, and published sources, while deciding between live and extract connections. It also covers preparing, cleaning, transforming, and organizing data using Tableau features and Tableau Prep to ensure it is ready for accurate analysis.
トピック 4	Explore and Analyze Data: This section covers creating calculations, applying filters, parameters, and structuring data to explore insights effectively. It also includes advanced analysis techniques such as table calculations, LOD expressions, forecasting, and geographic mapping to derive meaningful patterns and trends.

>> Salesforce Analytics-DA-201過去問題 <<

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Salesforce Certified Tableau Data Analyst 認定 Analytics-DA-201 試験問題 (Q181-Q186):

質問 # 181
A Data Analyst loads a dataset from Microsoft Excel. The following is a sample of the data.

FullName contains student names. Some names contain a first name and a last name. Some names contain a first name, a middle name, and a last name.
The analyst needs to divide FullName into three separate fields: one for the first name, one for the middle name, and one for the last name. The solution must minimize effort for the analyst.
What should the analyst do?

A. Use the Custom Split option and specify a space as the delimiter.
B. Use Data Interpreter.
C. Use the Custom Split option for the first name and the last name and create a calculated field for the middle name.
D. Use the Split option.

正解：C

解説：
B is the verified answer; the selection shown in the candidate PDF is not reliable here. The difficulty is that FullName contains a variable number of space delimiters. A simple "split all" operation would produce First | Last for a two-part name but First | Middle | Last for a three-part name, so the second result column does not consistently represent the middle name. Tableau's Custom Split functionality allows splitting from the first or last occurrences of a delimiter. The analyst can therefore reliably extract the first and last names regardless of whether a middle name exists, and derive the middle component when present. Tableau's documentation notes that Custom Split provides control over first N, last N, or all occurrences and is useful when separator counts vary between records.

質問 # 182
You have the following:

Overall Rank and Rank are calculated fields that use the RANK function.
You filter out the sub-category where [Ovorall Rank] - 1.
For which three the sub-categories will the value of Rank change? Choose three.

A. Tables
B. Furnishings
C. Chairs
D. Machines
G Phones
E. Copiers
F. Accessories
G. Bookcases

正解：A、D、F

解説：
In Tableau, the RANK function assigns a rank to each row within a partition of the data, based on the value of the field being ranked. It is important to understand that the rank is recalculated whenever the underlying data or the partitioning changes.
In the given scenario, the Overall Rank is based on the Sales figures, while the Rank (presumably) is based on the Sales within the Category. When filtering on the condition where [Overall Rank] - 1, it means we are excluding the sub-category that has an Overall Rank of 2.
Looking at the data:
* Furnishings has an Overall Rank of 8, which does not meet the filter condition ([Overall Rank] - 1).
Therefore, its rank remains the same.
* Tables have an Overall Rank of 3. When the sub-category with an Overall Rank of 2 is removed (Chairs in this case), Tables move up in the overall ranking. However, since Tables are the top-ranked within the Furniture category, their Rank within the category would remain unchanged at 1.
* Chairs have an Overall Rank of 2, which meets the filter condition and thus will be removed from the view. We cannot determine the change in Rank for Chairs because they are filtered out.
* Accessories have an Overall Rank of 5. If any sub-category with a higher Overall Rank (1 to 4) is removed, the rank of Accessories within the Technology category could change because it is currently ranked 3 in its category. With the removal of Phones (Overall Rank 1), the Rank of Accessories could potentially increase.
* Copiers have an Overall Rank of 6, which does not meet the filter condition. Therefore, its rank remains the same.
* Machines have an Overall Rank of 4. If we remove Phones (Overall Rank 1), Machines will move up in the overall ranking and potentially within the Technology category as well, changing its Rank from 2 to 1.
* Phones have an Overall Rank of 1, which does not meet the filter condition of being Overall Rank 2.
Therefore, its rank remains the same.
* Bookcases have an Overall Rank of 7, which does not meet the filter condition. Therefore, its rank remains the same.
Based on this analysis, when the sub-category with an Overall Rank of 2 (Chairs) is removed, the Rank value will change for Tables, Accessories, and Machines, as they will move up in the overall ranking within their respective categories. However, it's important to note that while Tables will move up in the overall ranking, their rank within the Furniture category would not change as they are already at the top. The rank changes for Accessories and Machines are due to the removal of Phones, which is ranked higher overall and within the Technology category.

質問 # 183
A Data Analyst has the following worksheet, with Profit data for Categary and Sub-Categury.

The analyst executed the following calculated field at the Total level:
COUNTD( IF ( INCLUDE [Sub-Category]: SUM([Profit]) < 0 THEN [Category] END ) What is the result?

A. 0
B. 1
C. 2
D. 3

正解：B

質問 # 184
You connect to a database server by using Tableau Prep. The database server has a data role named Role1.
You have the following field in the data.
You need to apply the Role1 data role to the Material field.
Which two actions should you perform? Choose two.

A. From the More actions menu of Materials, select Valid in the Show values section.
B. From the More actions menu of Materials, select Group Values, and then select Spelling.
C. For the data type of the Material field, select Custom, and then select Role1.
D. From the More actions menu of Materials, filter the selected values.

正解：B、C

解説：
To apply a custom data role to a field, you need to select the data type of the field and then choose the data role from the list of available roles. This will validate the values in the field against the data role and mark any invalid values with a red exclamation mark. To fix the invalid values, you can use the Group Values option and select the Spelling algorithm, which will group values that are close in spelling and replace them with the most frequent value in the group. This will help you standardize the values in the Material field and match them with the Role1 data role. References: The information is based on the following sources:
* Use Data Roles to Validate your Data - Tableau
* New in Tableau Prep: Automatically identify data quality issues with Data Roles

質問 # 185
A Data Analyst has the following bar chart.

The analyst wants the chart to appear as shown in the following exhibit.

What should the analyst add?

A. A distribution band
B. A reference line
C. A reference band
D. An average line

正解：A

質問 # 186
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