Quality C_SACS_2308 PDF Dumps - C_SACS_2308 Exam Questions
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NEW QUESTION # 23
Which calculation type does the SAP BW live model support?
- A. Aggregation
- B. Dimension to measure
- C. Currency conversion
- D. Date difference
Answer: A
Explanation:
The SAP BW live model is a type of live data connection that allows you to access data from SAP Business Warehouse (BW) systems without importing it into SAP Analytics Cloud. The SAP BW live model supports the following calculation types:
Aggregation: You can use aggregation functions, such as SUM, COUNT, MIN, MAX, etc., to calculate the values of a measure based on a dimension or a filter.
Currency conversion: You can use currency conversion to convert the values of a measure from one currency to another based on predefined exchange rates.
Unit conversion: You can use unit conversion to convert the values of a measure from one unit of measurement to another based on predefined conversion factors.
The SAP BW live model does not support the following calculation types:
Dimension to measure: You cannot convert a dimension to a measure in a SAP BW live model.
Date difference: You cannot calculate the difference between two dates in a SAP BW live model.
Story calculation: You cannot create story calculations in a SAP BW live model.
Therefore, the correct answer is Aggregation, as it is the calculation type that the SAP BW live model supports. Verified Reference:: Create Calculations in Models: SAP BW Live Data Connection
NEW QUESTION # 24
What is a property of a public dataset?
- A. Its data is structured in a star schema.
- B. It can be converted to a model.
- C. Its data source can be changed.
- D. It can be shared among different stories.
Answer: D
Explanation:
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.
NEW QUESTION # 25
When break grouping is enabled, to which dimension is sort applied?
- A. The inner dimension
- B. The vertical dimension
- C. The outer dimension
- D. The horizontal dimension
Answer: A
NEW QUESTION # 26
When break grouping is enabled, to which dimension is sort applied?
- A. The inner dimension
- B. The vertical dimension
- C. The outer dimension
- D. The horizontal dimension
Answer: A
Explanation:
When break grouping is enabled, the sort is applied to the inner dimension of the chart or table, according to the SAP Analytics Cloud Help1. Break grouping is a feature that allows you to sort data points in a chart or table by breaking the grouping of the dimensions in the category axis2. For example, if you have a chart with two dimensions in the category axis, such as Country and Product, and you enable break grouping, you can sort the data points by Product instead of Country2. This can help you compare the performance of different products across countries. You can also choose to sort by measure values or custom order2.
The other options are not correct. Option A. The outer dimension is the dimension that is not affected by the break grouping feature. Option C. The vertical dimension and option D. The horizontal dimension are not relevant terms for break grouping, as it depends on how you arrange the dimensions in the category axis.
1: Apply Smart Grouping to Charts in Analytic Applications | SAP Help Portal 2: Sort Data Points in Charts and Tables | SAP Help Portal
NEW QUESTION # 27
What are benefits of using the Optimized Design Experience?Note: There are 2 correct answers to this question.
- A. Ghost loading indicators
- B. Navigation of small hierarchies
- C. Improved tooltip interactions
- D. Support for older versions of SAP HANA and SAP BW
Answer: A,C
Explanation:
The Optimized Design Experience is a new user interface for SAP Analytics Cloud that simplifies and enhances the story design process. The Optimized Design Experience offers some benefits over the Classic Design Experience, such as:
Improved tooltip interactions: You can hover over any data point in a chart to see a tooltip with more information. You can also click on the tooltip to access more actions, such as filtering, drilling, commenting, etc.
Ghost loading indicators: You can see a ghost image of the elements on a page while they are loading. This gives you a preview of the layout and size of the elements before they are fully rendered.
Data Analyzer: You can use Data Analyzer to quickly create ad hoc analysis based on models or datasets. You can also save your analysis as stories or pin them to your home page.
Point of Interest: You can use Point of Interest to highlight a specific data point or area in a chart. You can also add annotations, comments, or links to the Point of Interest.
Time Series chart: You can use Time Series chart to create interactive and animated charts that show how data changes over time. You can also customize the appearance and behavior of the Time Series chart.
Therefore, the correct answer is Improved tooltip interactions and Ghost loading indicators, as they are the benefits of using the Optimized Design Experience. Verified Reference:: Optimized Design Experience Overview
NEW QUESTION # 28
You want to blend data in a story from two models (see graphic below). Model 1 is the primary model. Which link type returns what data Primary All Intersection
Which link type returns what data?
- A. Intersection
- B. All
- C. Primary
Answer: A
Explanation:
The link type determines how the data from the primary and secondary models are blended in a story. There are three link types: Primary, All, and Intersection1.
Primary: Only the data from the primary model that matches the data from the secondary model is displayed. This is equivalent to an inner join in SQL.
All: All the data from both models is displayed, regardless of whether they match or not. This is equivalent to a full outer join in SQL.
Intersection: Only the data that exists in both models is displayed. This is equivalent to an intersection in set theory.
In this case, the link type that returns what data is Intersection, because it only shows the data that is common to both models, such as Customer A and Customer B. Customer C and Customer D are excluded because they do not exist in both models.
Reference:
1: Blending Data from Multiple Models
NEW QUESTION # 29
Which link types can you use to blend data in a story? Note: There are 3 correct answers to this question.
- A. All primary data
- B. Inner data
- C. Outer data
- D. Intersecting data only
- E. All data
Answer: B,C,D
NEW QUESTION # 30
Which filter options are supported in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Section
- B. Controls
- C. Widget
- D. Input Control
- E. Story
Answer: C,D,E
NEW QUESTION # 31
Which dataset types does SAP Analytics Cloud support?Note: There are 2 correct answers to this question.
- A. Embedded
- B. Public
- C. Live
- D. Import
Answer: C,D
NEW QUESTION # 32
To which of the following can you add a section?
- A. Chart
- B. Digital Boardroom
- C. Table
- D. Canvas page
Answer: D
NEW QUESTION # 33
Which calculation type can you use to categorize dimension members?
- A. Calculated dimension
- B. Dimension to measure
- C. Difference from
- D. Measure-based dimension
Answer: D
Explanation:
This is a calculation type that you can use to categorize dimension members, according to the SAP Analytics Cloud Help1. A measure-based dimension is a dimension that is created from a measure by applying a range or a binning function1. For example, you can create a measure-based dimension called Age Group from a measure called Age by using the binning function to group the age values into different categories, such as 0-10, 11-20, 21-30, and so on1. This way, you can analyze your data by the age groups instead of the individual age values1.
The other options are not correct. Option A. Difference from is a calculation type that you can use to compare the difference between two measures or two members of a dimension2. For example, you can use this calculation type to show the difference between the sales revenue of this year and last year2. Option B. Dimension to measure is a calculation type that you can use to convert a dimension to a measure by counting the number of distinct values in the dimension3. For example, you can use this calculation type to count the number of unique customers in your data3. Option D. Calculated dimension is a calculation type that you can use to create a new dimension from an existing dimension by applying a formula or an expression4. For example, you can use this calculation type to create a new dimension called Region from an existing dimension called Country by using a formula to assign each country to a region4.
1: Measure-Based Dimensions | SAP Help Portal 2: Difference From | SAP Help Portal 3: Dimension To Measure | SAP Help Portal 4: Calculated Dimensions | SAP Help Portal
NEW QUESTION # 34
In a calculated measure, when a denominator is null or zero, what symbol is displayed?
- A. #
- B. _
- C. +
- D. /
Answer: B
NEW QUESTION # 35
Which of the following is a data source connection AND can be used in SAP Analytics Cloud to wrangle data?
- A. Public
- B. Imported
- C. Live
Answer: B
Explanation:
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]
NEW QUESTION # 36
You are using a model that includes a prompt.When is the prompt presented at runtime?
- A. Before data can be displayed
- B. After all widgets are rendered
- C. Before predefined widgets are rendered
- D. After navigating to the widget based on the model
Answer: A
Explanation:
When a model includes a prompt, the prompt is presented at runtime before data can be displayed in the story. The prompt allows users to select the values they want to filter the data by. The prompt is not related to the predefined widgets, the rendering of widgets, or the navigation to widgets. Verified Reference: [SAP Analytics Cloud - Prompting]
NEW QUESTION # 37
What can be done with story filters?
- A. They can be implemented without a model in a template.
- B. They can be used to change dimensions in a widget.
- C. They can be applied to all widgets based on the same model.
Answer: C
NEW QUESTION # 38
Which story data source does NOT require a model be created in SAP Analytics Cloud?
- A. SAP Business Warehouse
- B. SAP Datasphere
- C. SAP BusinessObjects Web Intelligence document
- D. SAP S/4HANA
Answer: B
Explanation:
SAP Datasphere is a data source that does not require a model to be created in SAP Analytics Cloud. You can use a SAP Datasphere connection to access or import data directly into your story, with no need for a SAP Analytics Cloud model to be created1 SAP Business Warehouse, SAP S/4HANA, and SAP BusinessObjects Web Intelligence document are data sources that require a model to be created in SAP Analytics Cloud. You cannot access or import data from these sources directly into your story, but you need to create a model in SAP Analytics Cloud using the connections to these sources234
NEW QUESTION # 39
In a table you display a time hierarchy with the years 2024, 2025, and 2026. Months, quarters, and half years are also displayed for each year. You want to apply the formatting of the year 2024 to the years 2025 and 2026. In styling rules, which level option do you select?
- A. Self
- B. Self and Children
- C. Self and Siblings
- D. Self and Descendants
Answer: B
NEW QUESTION # 40
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