SAP C_SACS_2321 Real Exam Questions and Answers FREE [Q35-Q53]

Share

SAP C_SACS_2321 Real Exam Questions and Answers FREE

Exam Dumps C_SACS_2321 Practice Free Latest SAP Practice Tests

NEW QUESTION # 35
In the Optimized Design Experience, which SAP Analytics Cloud tool replaces Explorer?

  • A. Modeler
  • B. Data Analyzer
  • C. Point of Interest
  • D. Value Driver Trees

Answer: B

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 # 36
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 grouping.
  • B. Use corporate branding standards.
  • C. Have a clear message.
  • D. Avoid pie charts.

Answer: B,C

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 # 37
Which story page types are imported into the SAP Digital Boardroom builder?

  • A. Responsive and grid
  • B. Canvas and grid
  • C. Responsive and canvas

Answer: C

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 # 38
What are data sources for stories?Note: There are 3 correct answers to this question.

  • A. Insight
  • B. Dataset
  • C. File
  • D. Model
  • E. Data Action

Answer: B,C,D

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 # 39
In which of the following are datapoint comments stored?

  • A. In the data model
  • B. In the widget
  • C. In the page
  • D. In the story

Answer: A

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 of the following is a story guideline?

  • A. Design many stories with few pages.
  • B. Avoid chart filters with many data points.
  • C. Design few stories with many pages.
  • D. Avoid the Top N feature in charts and tables.

Answer: A

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 # 41
What term refers to dimension members with no numeric data values associated with them?

  • A. Exception aggregation
  • B. Booked
  • C. Transformed
  • D. Unbooked

Answer: D

Explanation:
Unbooked is the term that refers to dimension members with no numeric data values associated with them. For example, if a dimension has members A, B, C, and D, and only A and B have numeric values in a measure column, then C and D are unbooked members. Booked, transformed, and exception aggregation are not terms that describe dimension members.
Verified [SAP Analytics Cloud - Unbooked Data]


NEW QUESTION # 42
For which of the following tasks can you use an input control? Note: There are 2 correct answers to this question.

  • A. Explore data relationships
  • B. Define a prompt
  • C. Select dimension or measure
  • D. Filter dimension or measure

Answer: C,D

Explanation:
An input control is a type of filter that allows you to dynamically change the values of dimensions or measures in your story or application. You can use an input control to filter dimension or measure values and select dimension or measure values for your widgets, such as charts, tables, or geo maps1. For example, you can create an input control that lets you choose which product category or year to display in your chart2.
You cannot use an input control to define a prompt or explore data relationships. A prompt is a filter that is applied to a model before the data is loaded into a story or an application. Prompts allow you to select the data that you want to see in your story or application. You can create prompts in the modeler, not in the story or application3. To explore data relationships, you can use the Smart Discovery feature, which allows you to automatically generate insights and visualizations based on your dat a. You can access Smart Discovery from the context menu of a chart or table widget4.


NEW QUESTION # 43
What is a property of a public dataset?

  • A. Its data is structured in a star schema.
  • B. It can be shared among different stories.
  • C. It can be converted to a model.
  • D. Its data source can be changed.

Answer: B

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 # 44
Which story data source does NOT require a model be created in SAP Analytics Cloud?

  • A. SAP S/4HANA
  • B. SAP BusinessObjects Web Intelligence document
  • C. SAP Datasphere
  • D. SAP Business Warehouse

Answer: C

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 # 45
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. Applies blocks of shading to different geographical locations_B
  • B. Uses external data from valid service URLs. This data is layered on top of your existing geo map to provide additional context-C
  • C. Uses color to visualize the data density of the selected measure-E
  • D. Sets of geographical data that can be added to a geo map and analyzed with reference to business data from a model-A
  • E. Shows the connection between two locations-D

Answer: A,B,C,D,E

Explanation:
Points of Interest Layer - Sets of geographical data that can be added to a geo map and analyzed with reference to business data from a model. For example, you can add points of interest layer that shows the locations of your customers or stores on a geo map.
Choropleth/Drill Layer - Applies blocks of shading to different geographical locations based on the value of the selected measure. For example, you can add choropleth/drill layer that shows the sales revenue by country or region on a geo map.
Feature Layer - Uses external data from valid service URLs. This data is layered on top of your existing geo map to provide additional context. For example, you can add feature layer that shows the traffic conditions or weather information on a geo map.
Flow Layer - Shows the connection between two locations based on the value of the selected measure. For example, you can add flow layer that shows the trade volume or migration patterns between countries or regions on a geo map.
Heat Map Layer - Uses color to visualize the data density of the selected measure. For example, you can add heat map layer that shows the population density or crime rate by area on a geo map. Verified [SAP Analytics Cloud - Geo Maps]


NEW QUESTION # 46
Which element is NOT available in the Optimized Design Experience?

  • A. Responsive page
  • B. Time Series chart
  • C. Data Analyzer
  • D. Grid page

Answer: 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 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 # 47
Which filter options are supported in the Optimized Design Experience? Note: There are 3 correct answers to this question.

  • A. Widget
  • B. Story
  • C. Controls
  • D. Section
  • E. Input Control

Answer: A,B,E

Explanation:
The Optimized Design Experience is a new design option for creating stories in SAP Analytics Cloud. It offers several usability improvements and performance enhancements compared to the Classic Design Experience. However, it also has some limitations and differences, such as the unavailability of some elements that are present in the Classic Design Experience1.
The following filter options are supported in the Optimized Design Experience:
Widget: This option allows you to apply filters to a specific widget, such as a chart, table, or map, that are based on the same model. You can use the Filter area in the Builder pane to pre- filter the data that the widget displays2.
Story: This option allows you to apply filters to all widgets in a story that are based on the same model. You can use the Story Filters tool in the Tools section to select dimensions or measures that you want to filter by2.
Input Control: This option allows you to add interactive filters to a story page that allow the story viewers to filter data, compare figures, and explore relationships directly from the page. You can use the Input Controls tool in the Tools section to select dimensions or measures that you want to use as input controls3.
The following filter options are not supported in the Optimized Design Experience:
Controls: This option is not a valid filter option in SAP Analytics Cloud. It may refer to input controls, which are supported, or chart controls, which are not supported. Chart controls are buttons that allow you to change the chart type, switch between absolute and relative values, or drill up and down in a hierarchy. Chart controls are available only in the Classic Design Experience4.
Section: This option is not a filter option, but 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 dimension.
Sections are available in both the Optimized and Classic Design Experiences.
1: Choosing Between Optimized and Classic Design Modes - SAP Learning 2: Filtering Data in Optimized Design Mode - SAP Learning 3: Using Input Controls - SAP Learning 4: Chart Controls - SAP Learning : [Creating Sections - SAP Learning]


NEW QUESTION # 48
When you create a story using a file as the data source, what is automatically created?

  • A. Chart
  • B. Dataset
  • C. Connection
  • D. Model

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 # 49
To which of the following can you add a section?

  • A. Digital Boardroom
  • B. Chart
  • C. Table
  • D. Canvas page

Answer: D

Explanation:
You can add a section to a canvas page in a story. A section is a container that holds one or more widgets and can be used to group related content or apply filters. A digital boardroom, a table, and a chart are not valid targets for adding a section; they are either different types of presentations or widgets that can be added to a section. Verified [SAP Analytics Cloud - Sections]


NEW QUESTION # 50
Which calculation type can you use to categorize dimension members?

  • A. Calculated dimension
  • B. Measure-based dimension
  • C. Dimension to measure
  • D. Difference from

Answer: B

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 # 51
Where can you define a calculation for a table? Note: There are 3 correct answers to this question.

  • A. Story
  • B. Pago
  • C. Model
  • D. Table
  • E. Calculation editor

Answer: A,D,E

Explanation:
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.
1: Calculating Data in Stories - SAP Learning 2: SAP Analytics Cloud In-story Calculation Series - An Introduction


NEW QUESTION # 52
How does the SAP Digital Boardroom support engaging with a remote audience? Note: There are 2 correct answers to this question.

  • A. Through screen sharing
  • B. Through story editing
  • C. Through Data Analyzer
  • D. Through annotations

Answer: A,D

Explanation:
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
[SAP Analytics Cloud - Digital Boardroom]


NEW QUESTION # 53
......


SAP C_SACS_2321 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Describe filtering, blending data
  • link types, sorting, ranking
  • Describe Optimized Design Experience vs. Classic Design Experience
Topic 2
  • Describe formatting and styling chart scaling, thresholds
  • Story principles and presentation
Topic 3
  • Explain best practices such as improving performance
  • Manipulating data in stories
Topic 4
  • Configuring story elements
  • Design standards; use Digital Boardroom, mobile app; layout types

 

Verified C_SACS_2321 Exam Dumps Q&As - Provide C_SACS_2321 with Correct Answers: https://endexam.2pass4sure.com/SAP-Certified-Application-Associate/C_SACS_2321-actual-exam-braindumps.html