[Jun-2024] C-SACS-2308 PDF Dumps Are Helpful To produce Your Dreams Correct QA's
New C-SACS-2308 exam Free Sample Questions to Practice
NEW QUESTION # 10
Using the SAP Analytics Cloud mobile app, what page type is required for viewing stories?
- A. Responsive
- B. Canvas
- C. Grid
Answer: A
Explanation:
Using the SAP Analytics Cloud mobile app, the page type that is required for viewing stories is responsive. Responsive pages are designed to adapt to different screen sizes and orientations, making them suitable for mobile devices. Canvas and grid pages are not supported by the mobile app; they are designed for desktop browsers and fixed layouts. Verified Reference: [SAP Analytics Cloud - Mobile App]
NEW QUESTION # 11
Which element is NOT available in the Optimized Design Experience?
- A. Data Analyzer
- B. Time Series chart
- C. Grid page
- D. Responsive page
Answer: 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 introduces some new elements and tools, such as Data Analyzer, Point of Interest, Time Series chart, etc. However, it also removes some elements and tools that are available in the Classic Design Experience, such as Grid page, Explorer, Digital Boardroom, etc. Therefore, the correct answer is Grid page, as it is the element that is not available in the Optimized Design Experience.
NEW QUESTION # 12
Which of the following can you use to create a chart for each member of a dimension?
- A. In-Cell Charts
- B. Section
- C. Trellis
- D. Value Driver Tree
Answer: B
Explanation:
A section is a way of organizing a story into different parts based on a dimension. A section creates a separate page for each member of the dimension, and displays the same widgets on each page with the data filtered by the section dimension1. For example, if you create a section based on the Country dimension, you will have a page for each country in your data, and the charts and tables on each page will show only the data for that country.
The other options are not correct because:
Value Driver Tree: This is a widget that allows you to create a graphical representation of how different drivers affect a key performance indicator (KPI). You can use this widget to perform simulations and what-if scenarios on your data2. However, this widget does not create a chart for each member of a dimension.
In-Cell Charts: These are mini charts that are displayed within table cells to show the relative values of measures. You can use this feature to enhance the readability and analysis of your data3. However, this feature does not create a chart for each member of a dimension.
Trellis: This is a feature that allows you to split a chart into multiple smaller charts based on one or more dimensions. You can use this feature to compare and contrast different segments of your data4. However, this feature does not create a separate page for each member of a dimension.
Reference:
1: Creating Sections - SAP Learning 2: Using Value Driver Trees - SAP Learning 3: Using In-Cell Charts - SAP Learning 4: Using Trellis Charts - SAP Learning
NEW QUESTION # 13
You are using a model that includes a prompt.When is the prompt presented at runtime?
- A. After all widgets are rendered
- B. After navigating to the widget based on the model
- C. Before predefined widgets are rendered
- D. Before data can be displayed
Answer: D
NEW QUESTION # 14
What is a property of a public dataset?
- A. It can be shared among different stories.
- B. Its data source can be changed.
- C. It can be converted to a model.
- D. Its data is structured in a star schema.
Answer: A
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 # 15
What does the model setting Optimize Story Building Performance do in a story?
- A. It automatically turns on parallel processing of SAP BW queries.
- B. It disables the Classic Design Experience,
- C. It forces the story to be designed in the Optimized Design Experience.
- D. It prevents the automatic refresh of data during story design.
Answer: D
Explanation:
The model setting Optimize Story Building Performance prevents the automatic refresh of data during story design. This means that users can design stories without waiting for the data to load every time they make a change. Users can manually refresh the data when they want to see the updated results. The model setting does not affect the design experience, the parallel processing, or the story editing. Verified Reference: [SAP Analytics Cloud - Optimize Story Building Performance]
NEW QUESTION # 16
What are benefits of using the Optimized Design Experience?Note: There are 2 correct answers to this question.
- A. Support for older versions of SAP HANA and SAP BW
- B. Navigation of small hierarchies
- C. Improved tooltip interactions
- D. Ghost loading indicators
Answer: C,D
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 # 17
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. Primary
- B. All
- C. Intersection
Answer: C
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 # 18
Please match layers that you can add to a Geo Map to their corresponding descriptions.
A) Points of Interest Layer Choropleth/Drill
B) LayerC) Feature Layer
D) Flow Layer
E) Heat Map Layer.
- A. Sets of geographical data that can be added to a geo map and analyzed with reference to business data from a model-A
- B. Shows the connection between two locations-D
- C. Uses external data from valid service URLs. This data is layered on top of your existing geo map to provide additional context-C
- D. Applies blocks of shading to different geographical locations_B
- E. Uses color to visualize the data density of the selected measure-E
Answer: A,B,C,D,E
NEW QUESTION # 19
What are benefits of using the Optimized Design Experience?Note: There are 2 correct answers to this question.
- A. Support for older versions of SAP HANA and SAP BW
- B. Navigation of small hierarchies
- C. Improved tooltip interactions
- D. Ghost loading indicators
Answer: C,D
NEW QUESTION # 20
What are some guidelines does SAP recommend you follow when you create a story? Note: There are 2 correct answers to this question.
- A. Use corporate branding standards.
- B. Avoid pie charts.
- C. Use grouping.
- D. Have a clear message.
Answer: A,D
NEW QUESTION # 21
What is a property of a public dataset?
- A. It can be shared among different stories.
- B. Its data source can be changed.
- C. It can be converted to a model.
- D. Its data is structured in a star schema.
Answer: A
NEW QUESTION # 22
Which calculation type can you use to categorize dimension members?
- A. Dimension to measure
- B. Difference from
- C. Measure-based dimension
- D. Calculated dimension
Answer: C
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 # 23
When converting a story to Optimized Design Experience, what happens if the story contains elements that are not yet supported?
- A. The unsupported elements are deleted.
- B. The unsupported elements become placeholders.
- C. You receive a warning with information about what you must change.
- D. You receive a warning that the story will be deleted.
Answer: A
Explanation:
When converting a story to Optimized Design Experience, you need to be aware that some elements that are available in the Classic Design Experience are not yet supported in the Optimized Design Experience. These elements include:
Grid pages
Linked analysis
Geo maps
Images
Shapes
Texts
Buttons
Input controls
Value driver trees
Explorer
If your story contains any of these elements, you will receive a warning message before converting the story, informing you that these elements will be permanently deleted from the story. You can choose to proceed with the conversion or cancel it. If you proceed, the unsupported elements will be removed from the story, and you will not be able to restore them1.
Reference:
1: Optimized Story Experience | SAP Help Portal
NEW QUESTION # 24
What are the presentation types for the Digital Boardroom? Note: There are 2 correct answers to this question.
- A. Agenda
- B. Canvas
- C. Custom
- D. Dashboard
Answer: A,D
Explanation:
The presentation types for the Digital Boardroom are dashboard and agend a. Dashboard allows users to create a custom layout of widgets and pages on a large screen, such as a wall-mounted monitor or a projector. Agenda allows users to create a structured sequence of pages and topics that can be navigated using a touch screen, such as a tablet or a laptop. Custom and canvas are not presentation types for the Digital Boardroom; they are options that can be used to design dashboard layouts or story pages. Verified Reference: [SAP Analytics Cloud - Digital Boardroom]
NEW QUESTION # 25
When break grouping is enabled, to which dimension is sort applied?
- A. The vertical dimension
- B. The inner dimension
- C. The horizontal dimension
- D. The outer dimension
Answer: B
NEW QUESTION # 26
Which dataset types does SAP Analytics Cloud support?Note: There are 2 correct answers to this question.
- A. Live
- B. Embedded
- C. Import
- D. Public
Answer: B,D
Explanation:
The correct answers are B. Public and D. Embedded. These are two of the dataset types that SAP Analytics Cloud supports, according to the SAP Help Portal1. A public dataset is a standalone dataset that is stored in SAP Analytics Cloud and can be found in a folder location on the Files page1. An embedded dataset is a dataset that is saved within a story and does not appear in the Files list1. You can convert an embedded dataset to a public one if you want others to be able to use it1.
The other options,
A) Import and C. Live, are not dataset types, but data source types. You can import data from a file or other data source to create a dataset or a model2. You can also use live data from a source system to create a model, but not a dataset2.
1: About Datasets and Dataset Types | SAP Help Portal 3 2: Choose Between Datasets and Models | SAP Help Portal
NEW QUESTION # 27
What are data sources for stories?Note: There are 3 correct answers to this question.
- A. File
- B. Insight
- C. Data Action
- D. Dataset
- E. Model
Answer: A,D,E
Explanation:
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
NEW QUESTION # 28
What story option can help you create a story as a launchpad to other stories?
- A. Hyperlink
- B. Input control
- C. RSS Feed
- D. Linked Analysis
Answer: A
NEW QUESTION # 29
Which of the following does a component filter affect?
- A. Story
- B. Itself
- C. Version
- D. Model
Answer: B
NEW QUESTION # 30
When you create a story using a file as the data source, what is automatically created?
- A. Connection
- B. Dataset
- C. Chart
- D. Model
Answer: B
NEW QUESTION # 31
In the Optimized Design Experience, which SAP Analytics Cloud tool replaces Explorer?
- A. Value Driver Trees
- B. Point of Interest
- C. Data Analyzer
- D. Modeler
Answer: C
Explanation:
In the Optimized Design Experience, Data Analyzer is a new tool that replaces Explorer. Data Analyzer allows you to quickly create ad hoc analysis based on models or datasets. You can use Data Analyzer to explore data, create charts and tables, apply filters and calculations, and save your analysis as stories. Data Analyzer is similar to Explorer, but with some enhancements and new features, such as:
Support for both models and datasets
Support for planning models
Support for story calculations
Support for linked analysis
Support for responsive pages
Therefore, the correct answer is Data Analyzer, as it is the tool that replaces Explorer in the Optimized Design Experience
NEW QUESTION # 32
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