C-SACS-2321 PDF Dumps Real 2024 Recently Updated Questions
Released SAP C-SACS-2321 Updated Questions PDF
SAP C-SACS-2321 Exam Syllabus Topics:
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NEW QUESTION # 21
What are limitations of datasets?Note: There are 2 correct answers to this question.
- A. They cannot overwrite imported data.
- B. They do not support column-based or property security.
- C. They cannot be scheduled.
- D. They do not support transformations.
Answer: B,C
Explanation:
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.
NEW QUESTION # 22
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. All
- B. Primary
- 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.
1: Blending Data from Multiple Models
NEW QUESTION # 23
To which models can you add data point comments? Note: There are 2 correct answers to this question.
- A. BPC live model
- B. Import planning model
- C. Blended model
- D. SAP S/4HANA live model
Answer: A,B
Explanation:
Data point comments are a feature that allows you to add comments to specific data points in a story. You can use data point comments to provide additional information, context, or feedback on the data. You can also reply to, edit, or delete existing comments. Data point comments are supported for the following models:
Import models
Planning models
Blended models
Data point comments are not supported for live models, such as SAP S/4HANA live model or BPC live model. Therefore, the correct answer is Import planning model and Blended model, as they are the models that support data point comments.
Data point comments are comments that you can add to a specific value in a table or a comment widget. They are similar to commenting on a single cell in Microsoft Excel. Data point comments are associated with the models, which means that they will appear in any story that uses the same model and has the same value in a table or a comment widget1.
Data point comments can be added to the following models:
Import planning model: This is a model that you create by importing data from a file or a database. You can use this model for planning scenarios, such as budgeting, forecasting, or what-if analysis. You can enable data point comments for this model by selecting the Allow Data Point Comments option in the model properties2.
BPC live model: This is a model that you create by connecting to a SAP Business Planning and Consolidation (BPC) system. You can use this model for real-time planning and analysis with BPC data. You can enable data point comments for this model by selecting the Allow Data Point Comments option in the model properties3.
Data point comments cannot be added to the following models:
SAP S/4HANA live model: This is a model that you create by connecting to a SAP S/4HANA system. You can use this model for real-time analysis with SAP S/4HANA data. However, this model does not support data point comments, because it is read-only and does not allow any changes to the data4.
Blended model: This is a model that you create by blending data from two or more models. You can use this model for combining and analyzing data from different sources. However, this model does not support data point comments, because it is derived from other models and does not have its own data.
1: Using Data Point Comments - SAP Learning 2: Creating an Import Planning Model - SAP Learning 3: Creating a BPC Live Model - SAP Learning 4: Creating an SAP S/4HANA Live Model - SAP Learning : [Blending Data from Multiple Models - SAP Learning]
NEW QUESTION # 24
Which sort options are available in stories?Note: There are 2 correct answers to this question.
- A. Ascending and descending order
- B. Multiple dimensions together
- C. Multiple measures together
- D. Dimensions and 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 # 25
Which element is NOT available in the Optimized Design Experience?
- A. Grid page
- B. Responsive page
- C. Time Series chart
- D. Data Analyzer
Answer: A
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 # 26
Which add-ons can you configure for a chart? Note: There are 2 correct answers to this question.
- A. Variance
- B. Scaling
- C. Linked Analysis
- D. In-Cell Charts
Answer: A,D
Explanation:
According to the SAP Help Portal1, you can configure different add-ons for a chart to enhance its appearance and functionality. Some of the add-ons that are available are:
Variance: This add-on allows you to compare two measures and show the difference and percentage difference between them. You can also choose to display the variance as a bar, line, or area chart on top of the original chart2.
Scaling: This add-on allows you to adjust the scale of the chart axes to better fit the data range. You can choose to use a linear, logarithmic, or percentage scale for the axes3.
Linked Analysis: This add-on allows you to link multiple charts or tables that share the same data source. When you select a data point in one chart or table, the other linked charts or tables will filter accordingly4.
In-Cell Charts: This add-on allows you to display mini charts within the cells of a table. You can choose from different types of in-cell charts, such as bullet, bar, or sparkline charts5.
Therefore, Variance and In-Cell Charts are add-ons that can be configured for a chart, while Scaling and Linked Analysis are not.
NEW QUESTION # 27
When you create a story using a file as the data source, what is automatically created?
- A. Connection
- B. Dataset
- C. Model
- D. Chart
Answer: B
Explanation:
When you create a story using a file as the data source, you automatically create an embedded dataset. A dataset is a collection of data that is imported into SAP Analytics Cloud and can be used in a story. An embedded dataset is unique to that story and cannot be shared outside the story or refreshed. You can transform or wrangle the data in the dataset to meet your story needs in the Data Preparation area
NEW QUESTION # 28
When you save a story as a template, what happens?
- A. Custom formatting is retained.
- B. Standard widgets remain intact.
- C. Custom widgets are removed.
- D. All data is removed.
Answer: D
Explanation:
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.
1: Create and Use Story Templates 2: Story Templates in SAP Analytics Cloud 3: Building Stories from a Template
NEW QUESTION # 29
Which of the following are necessary for Linked Analysis?
- A. Multiple stories
- B. Multiple widgets
- C. Multiple data models
- D. Multiple pages
Answer: B
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 # 30
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 # 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. Custom expression editor
- B. Transform bar
- C. Calculation editor
- D. Formula bar
Answer: A,B
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 of the following is a story guideline?
- A. Design few stories with many pages.
- B. Avoid chart filters with many data points.
- C. Design many stories with few pages.
- D. Avoid the Top N feature in charts and tables.
Answer: C
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 # 33
What are some guidelines does SAP recommend you follow when you create a story? Note:
There are 2 correct answers to this question.
- A. Have a clear message.
- B. Use corporate branding standards.
- C. Use grouping.
- D. Avoid pie charts.
Answer: A,B
Explanation:
The correct answers are C. Have a clear message and D. Use corporate branding standards.
These are some of the guidelines that SAP recommends you follow when you create a story. According to the course material1, "Your current reporting and dashboard standards will suffice for SAP Analytics Cloud stories. And if you do not have reporting or dashboard standards, this is the perfect time to create them." The course material also suggests that you should "have a clear message and purpose for your story" and "use corporate branding standards to ensure consistency and professionalism"1.
The other options are not mentioned as guidelines in the course material. Option A) Use grouping is a feature that allows you to group data points in a chart or table, but it is not a general design principle. Option B. Avoid pie charts is a common advice for data visualization, but it is not specific to SAP Analytics Cloud stories.
1: Introducing SAP Analytics Cloud Story Design | SAP Training 2
NEW QUESTION # 34
Which of the following are required to configure a section in a story? Note: There are 2 correct answers to this question.
- A. Classic Design Experience
- B. Dimension
- C. Optimized Design Experience
- D. Widget
Answer: B,D
Explanation:
A section is a way to group and organize widgets in a story based on a dimension. To create a section, you need to have the following:
A dimension that you want to use as the basis for grouping the widgets. You can choose any dimension from any model in the story.
One or more widgets that you want to display in each section. You can add any type of widget, such as charts, tables, geo maps, etc.
You can create sections in both the Classic Design Experience and the Optimized Design Experience, but the process is slightly different. Therefore, the correct answer is dimension and widget, as they are required to configure a section in a story
NEW QUESTION # 35
Which image file type does SAP recommend for optimal story performance?
- A. BMP
- B. PNG
- C. JPEG
- 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
You are using a model that includes a prompt.When is the prompt presented at runtime?
- A. Before predefined widgets are rendered
- B. Before data can be displayed
- C. After navigating to the widget based on the model
- D. After all widgets are rendered
Answer: B
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 [SAP Analytics Cloud - Prompting]
NEW QUESTION # 37
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 # 38
When break grouping is enabled, to which dimension is sort applied?
- A. The outer dimension
- B. The inner dimension
- C. The vertical dimension
- D. The horizontal dimension
Answer: B
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 # 39
In which of the following are datapoint comments stored?
- A. In the page
- B. In the widget
- C. In the story
- D. In the data model
Answer: D
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 # 40
Which page type is recommended when designing stories?
- A. Responsive
- B. Grid
- C. Canvas
Answer: A
Explanation:
A page type is a property that determines how the elements on a page are arranged and displayed. There are three page types in SAP Analytics Cloud: Canvas, Grid, and Responsive. The page type that is recommended when designing stories is Responsive, as it offers the following advantages:
It automatically adjusts the layout and size of the elements to fit different screen sizes and orientations.
It provides a consistent and optimal viewing experience across different devices, such as desktops, tablets, and mobile phones.
It supports all types of elements, such as charts, tables, geo maps, images, text, etc.
It supports advanced features, such as linked analysis, input controls, story filters, etc.
Therefore, the correct answer is Responsive, as it is the recommended page type when designing stories.
NEW QUESTION # 41
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