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質問 # 35
Which calculation type can you use to categorize dimension members?
- A. Measure-based dimension
- B. Calculated dimension
- C. Difference from
- D. Dimension to measure
正解：A
質問 # 36
Where can you define a calculation for a table? Note: There are 3 correct answers to this question.
- A. Calculation editur
- B. Model
- C. Story
- D. Table
- E. Pago
正解：A、C、D
解説：
You can define a calculation for a table in three ways:
Table: You can add a simple calculation by selecting two measures in a table, right-clicking, choosing Add calculation, and choosing the calculation you want. You can also add a repeating or single column or row to a table by right-clicking on a measure or dimension and choosing Add Calculation1.
Calculation editor: You can open the calculation editor from the drop-down menu of Measures or Dimensions in the Designer Panel and create complex calculations for a chart or table. For each type of calculation, a new calculated member is created. You can also use dimension attributes as part of a calculation2.
Story: You can create a calculated measure in the Builder pane of a story. When setting up your calculation, you apply the typical formula functions, conditions, and operators to the data contained in your model. Calculated measures allow you to perform mathematical and Boolean operations on your data1.
Reference:
1: Calculating Data in Stories - SAP Learning 2: SAP Analytics Cloud In-story Calculation Series - An Introduction
質問 # 37
In a calculated measure, when a denominator is null or zero, what symbol is displayed?
- A. +
- B. _
- C. #
- D. /
正解：C
解説：
A calculated measure is a type of measure that is derived from an expression or formula based on existing measures or dimensions. You can use calculated measures to perform various calculations on your data, such as ratios, percentages, differences, etc. However, some calculated measures may result in errors or invalid values when the denominator is null or zero. For example, if you try to calculate the profit margin as (Profit / Revenue) * 100, and the revenue is zero, you will get an error. In such cases, SAP Analytics Cloud displays a symbol instead of a value for the calculated measure. The symbol that is displayed when the denominator is null or zero is # (hash sign). Therefore, the correct answer is #, as it is the symbol that is displayed when the denominator is null or zero in a calculated measure. Verified Reference:: Create Calculated Measures
質問 # 38
What is a property of a public dataset?
- A. Its data source can be changed.
- B. It can be converted to a model.
- C. Its data is structured in a star schema.
- D. It can be shared among different stories.
正解：D
解説：
A public dataset is a type of dataset that is shared among different stories. You can use public datasets to create stories or blend data with models. A public dataset has the following properties:
It can be shared among different stories. You can use public datasets in multiple stories without having to import them again.
It cannot be converted to a model. You cannot convert a public dataset to a model. If you want to create a model from a public dataset, you have to import it as a private dataset first.
Its data is not structured in a star schem
a. A public dataset does not have any predefined dimensions or measures. It only has columns and rows of data.
Its data source cannot be changed. You cannot change the data source of a public dataset after you import it. If you want to update the data in a public dataset, you have to import a new file.
質問 # 39
When you save a story as a template, what happens?
- A. All data is removed.
- B. Custom widgets are removed.
- C. Custom formatting is retained.
- D. Standard widgets remain intact.
正解：A
解説：
When you save a story as a template, you can use it as a starting point for creating new stories with the same layout and formatting. However, all the data from the original story is removed and replaced by placeholders for charts, tables, maps, input controls, and value driver trees. This way, you can easily add new data sources and models to the template without affecting the existing ones1. Custom formatting, such as story background, chart color palettes, fonts, and borders, is retained in the template2. Custom widgets, such as images, shapes, texts, and buttons, are also preserved in the template3. Standard widgets, such as charts, tables, maps, input controls, and value driver trees, are converted into empty placeholders that can be filled with new data3.
Reference:
1: Create and Use Story Templates 2: Story Templates in SAP Analytics Cloud 3: Building Stories from a Template
質問 # 40
Which Filter options are supported in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Controls
- B. Cascading
- C. Section
- D. Advanced
- E. Input Control
正解：B、D、E
質問 # 41
Which of the following is a data source connection AND can be used in SAP Analytics Cloud to wrangle data?
- A. Imported
- B. Public
- C. Live
正解：A
解説：
The data source connection that can be used in SAP Analytics Cloud to wrangle data is imported. Imported data sources are data files that are uploaded to SAP Analytics Cloud and stored in its internal database. Users can wrangle imported data sources using the Data Preparation feature, which allows them to transform, enrich, cleanse, and merge data. Live and public data sources cannot be used to wrangle data in SAP Analytics Cloud; live data sources remain in their original systems and public data sources are read-only datasets provided by SAP. Verified Reference: [SAP Analytics Cloud - Data Preparation]
質問 # 42
What can be done with story filters?
- A. They can be used to change dimensions in a widget.
- B. They can be applied to all widgets based on the same model.
- C. They can be implemented without a model in a template.
正解：B
解説：
Story filters are a feature that allows you to filter the data in a story based on one or more dimensions or measures. You can use story filters to do the following:
They can be applied to all widgets based on the same model. You can choose which widgets are affected by the story filter and which are not.
They can be used to create dynamic titles or text based on the filter values. You can insert filter tokens into titles or text elements to show the current filter values.
They can be used to create input controls that allow users to change the filter values interactively. You can add input controls such as drop-down lists, sliders, checkboxes, etc., to let users select their own filter values.
Story filters cannot do the following:
They cannot be implemented without a model in a template. You need to have a model as a data source for your story before you can apply story filters.
They cannot be used to change dimensions in a widget. You cannot use story filters to swap dimensions in a widget. You have to use the chart builder or the table builder to change dimensions in a widget.
Therefore, the correct answer is They can be applied to all widgets based on the same model, as it is what can be done with story filters. Verified Reference:: Filter Data in Stories
質問 # 43
Which calculation type does the SAP BW live model support?
- A. ate difference
- B. Aggregation
- C. Currency conversion
- D. Dimension to measure
正解：B、D
質問 # 44
What does the model setting Optimize Story Building Performance do in a story?
- A. It forces the story to be designed in the Optimized Design Experience.
- B. It prevents the automatic refresh of data during story design.
- C. It disables the Classic Design Experience,
- D. It automatically turns on parallel processing of SAP BW queries.
正解：B
質問 # 45
When you import a file for a story, which of the following can you use for data wrangling? Note: There are 2 correct answers to this question.
- A. Custom expression editor
- B. Transform bar
- C. Formula bar
- D. Calculation editor
正解：A、B
解説：
These are two of the options that you can use for data wrangling when you import a file for a story in SAP Analytics Cloud, according to the SAP Help Portal1. Data wrangling is the process of cleaning, structuring, and enriching raw data into a desired format for better decision making in less time2.
The custom expression editor is a tool that allows you to create or edit formulas and expressions for your data columns3. You can access the custom expression editor by clicking on the formula icon in the builder panel or by double-clicking on a column header in the data view3. The custom expression editor provides a list of functions and operators that you can use to manipulate your data, such as arithmetic, logical, string, date, and aggregation functions3. You can also use the custom expression editor to create calculated columns or measure-based dimensions from your existing columns3.
The transform bar is a tool that allows you to apply various transformations to your data columns, such as renaming, reordering, grouping, splitting, merging, or deleting columns4. You can access the transform bar by clicking on the transform icon in the builder panel or by right-clicking on a column header in the data view4. The transform bar provides a list of actions that you can use to modify your data structure, such as move left, move right, group by, split by delimiter, merge columns, or delete column4. You can also use the transform bar to change the data type or format of your columns, such as text, number, date, currency, or percentage4.
質問 # 46
Using the SAP Analytics Cloud mobile app, what page type is required for viewing stories?
- A. Responsive
- B. Canvas
- C. Grid
正解：A
質問 # 47
Which sort options are available in stories?Note: There are 2 correct answers to this question.
- A. Dimensions and measures together
- B. Multiple measures together
- C. Multiple dimensions together
- D. Ascending and descending order
正解：C、D
解説：
The sort options that are available in stories are ascending and descending order, and multiple dimensions together. Ascending and descending order allow you to sort data by one or more dimensions or measures in ascending or descending order. Multiple dimensions together allow you to sort data by more than one dimension in a hierarchical order. Dimensions and measures together, and multiple measures together are not valid sort options in stories. Verified Reference: [SAP Analytics Cloud - Sorting]
質問 # 48
How does the SAP Digital Boardroom support engaging with a remote audience? Note: There are 2 correct answers to this question.
- A. Through story editing
- B. Through Data Analyzer
- C. Through screen sharing
- D. Through annotations
正解：C、D
解説：
The SAP Digital Boardroom supports engaging with a remote audience through annotations and screen sharing. Annotations allow users to highlight or draw on the screen using different colors and shapes, which can help to emphasize key points or explain complex concepts. Screen sharing allows users to share their screen with other participants who join the digital boardroom session via a web browser, which can help to facilitate collaboration and communication. Data Analyzer and story editing are not features that support engaging with a remote audience; they are features that allow users to analyze data or modify stories in the digital boardroom. Verified Reference: [SAP Analytics Cloud - Digital Boardroom]
質問 # 49
Where can you define thresholds?Note: There are 2 correct answers to this question.
- A. Story
- B. Page
- C. Model
- D. Input control
正解：A、C
質問 # 50
Which calculation types support Input controls? Note: There are 3 correct answers to this question.
- A. Difference From
- B. Calculated measure
- C. Restricted Measure
- D. Aggregation
- E. Dimension to measure
正解：A、B、C
解説：
The calculation types that support input controls are restricted measure, calculated measure, and difference from. A restricted measure is a measure that is filtered by one or more dimensions. A calculated measure is a measure that is derived from an expression using other measures and dimensions. A difference from is a measure that shows the difference between two values based on another dimension. Dimension to measure and aggregation are not calculation types; they are functions that can be used in calculations. Verified Reference: [SAP Analytics Cloud - Input Controls]
質問 # 51
When you create a new story and select a responsive page, which choice are you offered?
- A. Optimized or Classic Design Experience
- B. Mobile device or Desktop
- C. Chart or Table
- D. Model or Dataset
正解：B
質問 # 52
When you save a story as a template, what happens?
- A. All data is removed.
- B. Custom widgets are removed.
- C. Custom formatting is retained.
- D. Standard widgets remain intact.
正解：A
質問 # 53
What are data sources for stories?Note: There are 3 correct answers to this question.
- A. File
- B. Data Action
- C. Dataset
- D. Model
- E. Insight
正解：A、C、D
解説：
A data source is an object that contains data that you can use to create stories or other objects in SAP Analytics Cloud. There are four types of data sources in SAP Analytics Cloud:
Model: A model is a structured representation of your data that defines how the data is organized and calculated. You can create models by importing data from various sources or connecting to live data systems.
Dataset: A dataset is a type of data source that allows you to import data from files
質問 # 54
What are limitations of datasets?Note: There are 2 correct answers to this question.
- A. They cannot overwrite imported data.
- B. They cannot be scheduled.
- C. They do not support column-based or property security.
- D. They do not support transformations.
正解：B、C
解説：
A dataset is a type of data source that allows you to import data from files, such as Excel or CSV files. You can use datasets to create stories or blend data with models. However, datasets have some limitations, such as:
They cannot be scheduled. You have to manually refresh the data in a dataset.
They do not support column-based or property security. You cannot restrict access to certain columns or properties in a dataset.
They do not support transformations. You cannot apply any transformations to the data in a dataset.
They can overwrite imported dat
a. You can choose to append or replace the data in a dataset when you import a new file.
Therefore, the correct answer is They cannot be scheduled and They do not support column-based or property security, as they are the limitations of datasets.
質問 # 55
Which calculation types support Input controls? Note: There are 3 correct answers to this question.
- A. Difference From
- B. Calculated measure
- C. Restricted Measure
- D. Aggregation
- E. Dimension to measure
正解：A、B、C
質問 # 56
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