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SAP C-SACS-2321 Exam Syllabus Topics:
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NEW QUESTION # 22
Which story data source does NOT require a model be created in SAP Analytics Cloud?
- A. SAP Datasphere
- B. SAP BusinessObjects Web Intelligence document
- C. SAP Business Warehouse
- D. SAP S/4HANA
Answer: A
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 # 23
In the Optimized Design Experience, which SAP Analytics Cloud tool replaces Explorer?
- A. Value Driver Trees
- B. Modeler
- C. Data Analyzer
- D. Point of Interest
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 # 24
What can you do in the SAP Analytics Cloud mobile app? Note: There are 2 correct answers to this question.
- A. Create a dataset
- B. Collaborate with colleagues
- C. Share Links
- D. Create a story
Answer: B,C
Explanation:
The SAP Analytics Cloud mobile app allows users to view and interact with stories, collaborate with colleagues using comments and notifications, and share links to stories via email or other apps. Users cannot create stories, datasets, or models using the mobile app. Verified [SAP Analytics Cloud - Mobile App]
NEW QUESTION # 25
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.
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 # 26
Which of the following are necessary for Linked Analysis?
- A. Multiple stories
- B. Multiple pages
- C. Multiple data models
- D. Multiple widgets
Answer: D
Explanation:
Linked Analysis is a feature that allows you to link multiple widgets in a story based on the same model. You can use Linked Analysis to do the following:
Filter data in multiple widgets by selecting a data point in one widget. For example, if you select Soft Drinks in a chart, all the other linked widgets will show data for Soft Drinks only.
Drill down or up in multiple widgets by changing the level of detail in one widget. For example, if you drill down from Product Category to Product Name in a table, all the other linked widgets will show data for Product Name as well.
Highlight data in multiple widgets by hovering over a data point in one widget. For example, if you hover over Germany in a geo map, all the other linked widgets will highlight the data for Germany.
To use Linked Analysis, you need to have the following:
Multiple widgets based on the same model. You can link any type of widget, such as charts, tables, geo maps, etc., as long as they are based on the same model.
A common dimension or measure between the widgets. You can link widgets based on any dimension or measure that they share in common.
You do not need to have the following for Linked Analysis:
Multiple stories. You can use Linked Analysis within the same story. You cannot link widgets across different stories.
Multiple data models. You can use Linked Analysis with one model only. You cannot link widgets based on different models.
Multiple pages. You can use Linked Analysis within the same page. You cannot link widgets across different pages.
Therefore, the correct answer is Multiple widgets, as it is the necessary element for Linked Analysis. Verified Reference:
: Link Widgets with Linked Analysis
NEW QUESTION # 27
Which of the following is a story guideline?
- A. Avoid the Top N feature in charts and tables.
- B. Avoid chart filters with many data points.
- C. Design few stories with many pages.
- D. Design many stories with few pages.
Answer: D
Explanation:
This is one of the story guidelines recommended by SAP Analytics Cloud. According to the course material1, "When designing your stories, keep them as simple as possible. In general, it is easier for users to consume story content if it is present in smaller bits rather than have a few large stories with many pages to navigate." The other options are not mentioned as guidelines in the course material.
1: Introducing SAP Analytics Cloud Story Design | SAP Training 2
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.
1: Blending Data from Multiple Models
NEW QUESTION # 29
Which story page types are imported into the SAP Digital Boardroom builder?
- A. Canvas and grid
- B. Responsive and canvas
- C. Responsive and grid
Answer: B
Explanation:
The story page types that are imported into the SAP Digital Boardroom builder are responsive and canvas. Responsive pages are designed to adapt to different screen sizes and orientations, making them suitable for different devices and scenarios in the digital boardroom. Canvas pages are designed for desktop browsers and fixed layouts, making them suitable for large screens and presentations in the digital boardroom. Grid pages are not imported into the digital boardroom builder; they are designed for tabular data analysis and printing. Verified [SAP Analytics Cloud - Digital Boardroom]
NEW QUESTION # 30
What are data sources for stories?Note: There are 3 correct answers to this question.
- A. Data Action
- B. File
- C. Insight
- D. Model
- E. Dataset
Answer: B,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 # 31
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. Calculation editor
- B. Custom expression editor
- C. Formula bar
- D. Transform bar
Answer: B,D
Explanation:
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.
NEW QUESTION # 32
Which sort options are available in stories?Note: There are 2 correct answers to this question.
- A. Multiple dimensions together
- B. Ascending and descending order
- C. Dimensions and measures together
- D. Multiple measures together
Answer: A,B
Explanation:
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 [SAP Analytics Cloud - Sorting]
NEW QUESTION # 33
What language does the Custom Expression Editor use?
- A. Structured Query Language
- B. JavaScript
- C. dWrangling Expression Language
- D. Hypertext Markup Language
Answer: C
Explanation:
The Custom Expression Editor is a tool that allows you to create complex calculations using a syntax called Wrangling Expression Language (WEL). WEL is a domain-specific language that is designed for data manipulation and analysis. WEL supports various operators, functions, and constants that you can use to create custom expressions. You can access the Custom Expression Editor from various places in SAP Analytics Cloud, such as models, stories, datasets, etc.
Therefore, the correct answer is Wrangling Expression Language, as it is the language that the Custom Expression Editor uses. Verified Reference:
: Create Custom Expressions with the Custom Expression Editor
NEW QUESTION # 34
In which of the following are datapoint comments stored?
- A. In the widget
- B. In the data model
- C. In the story
- D. In the page
Answer: B
Explanation:
Datapoint comments are stored in the data model, not in the widget, page, or story. This means that datapoint comments are visible across different stories that use the same model, and they are preserved when a story is duplicated or exported. Verified [SAP Analytics Cloud - Datapoint Comments]
NEW QUESTION # 35
Which image file type does SAP recommend for optimal story performance?
- A. JPEG
- B. BMP
- C. PNG
- D. SVG
Answer: D
Explanation:
According to the SAP Help Portal1, SVG (Scalable Vector Graphics) is the recommended image file type for optimal story performance in SAP Analytics Cloud Story Design. SVG is a vector- based format that can scale to any size without losing quality or clarity. SVG images also have a smaller file size than other image formats, such as JPEG, PNG, or BMP, which are raster-based formats that store pixel data. Raster images can lose quality or become blurry when scaled up or down, and they also have a larger file size than vector images. Therefore, using SVG images can improve the loading speed and responsiveness of your stories, as well as the visual appearance of your images2.
NEW QUESTION # 36
Which calculation type can you use to categorize dimension members?
- A. Difference from
- B. Dimension to measure
- C. Calculated dimension
- 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 # 37
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