Latest SAP C-SAC-2421 Exam questions and answers
Dumpexams C-SAC-2421 Exam Practice Test Questions (Updated 62 Questions)
NEW QUESTION # 35
How can you limit the refresh time of a story?
- A. Implement a value driver tree
- B. Collapse the hierarchy
- C. Create calculated measures
- D. Use canvas pages
Answer: B
Explanation:
Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance
NEW QUESTION # 36
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Run allocation processes
- B. Import transaction data
- C. Run allocation data actions
- D. Approve data
Answer: B,C
NEW QUESTION # 37
Where can you create a blank planning version?
- A. In the planning model
- B. In version management
- C. In a data cell
- D. In the version dimension
Answer: B
Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning
NEW QUESTION # 38
Which dimension type can you use like a measure?
- A. Account
- B. Date
- C. Entity
- D. Organization
Answer: A
Explanation:
In SAP Analytics Cloud, the Account dimension can be used similarly to a measure. This dimension is specifically designed for financial data and can hold various types of financial metrics, such as revenues, expenses, assets, and liabilities. It allows for the application of financial calculations and aggregations, which is why it can function similarly to measures in the context of financial reporting and analysis.
Reference:
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures SAP Analytics Cloud User Guide: Working with Account Dimensions
NEW QUESTION # 39
What must you use to transform data in a dataset using if/then/else logic?
- A. Custom expression editor
- B. Formula bar
- C. Calculations editor
- D. Transform bar
Answer: A
Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation
NEW QUESTION # 40
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
- A. Changing dimensions or measures displayed in a table
- B. Filtering data on a page
- C. Implementing row-level and column-level security in a table
- D. Selecting an alternate data source
Answer: A,B
Explanation:
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction
NEW QUESTION # 41
You are creating a styling rule for a table. What is the context?
- A. The most granular level in the table
- B. The highest level in the table
- C. The location of the cursor
- D. The table header
Answer: C
NEW QUESTION # 42
You want to display differences between measures in a chart. What can you use?
- A. Reference line
- B. Variance
- C. Restricted measure
- D. Threshold
Answer: B
Explanation:
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
Reference:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance
NEW QUESTION # 43
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.
- A. Add JavaScript to a button
- B. Add a custom widget
- C. Add a layer to a geo map
- D. Add a popup
Answer: A,D
NEW QUESTION # 44
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
- A. Use a model converted measure
- B. Use a dimension hierarchy
- C. Use a story calculated measure
- D. Use a calculated member
Answer: B,D
NEW QUESTION # 45
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.
- A. Date
- B. Version
- C. Entity
- D. Organization
Answer: A,B
Explanation:
In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.
Reference:
SAP Analytics Cloud Help Documentation: Planning Data Model Basics
SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models
NEW QUESTION # 46
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
- A. SAP Analytics Cloud analytic model
- B. SAP Analytics Cloud public dataset
- C. SAP Datasphere model
- D. SAP BusinessObjects Universe
- E. SAP HANA view
Answer: A,C,E
NEW QUESTION # 47
What type of predictive scenario can write back to a planning model?
- A. Regression
- B. Classification
- C. Time series forecast
- D. Value driver tree
Answer: C
Explanation:
In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
Reference:
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models
NEW QUESTION # 48
Which automatically created dimension type can you delete from an analytic data model?
- A. Version
- B. Date
- C. Generic
- D. Organization
Answer: C
Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models
NEW QUESTION # 49
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Conditional formatting
- B. Linked dimensions
- C. Input controls
- D. Calculated measures
- E. Charts
Answer: A,D,E
NEW QUESTION # 50
You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.
- A. Allow model import
- B. Refresh the import job
- C. Refresh the story
- D. Schedule the import
Answer: C,D
Explanation:
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.
NEW QUESTION # 51
The SAP Analytics Cloud (SAC) modeler has removed the first three characters from an SAP Analytics Cloud public dimension imported from a source system. What is impacted by this change?
- A. Stories
- B. Public datasets
- C. Source system
- D. Embedded data sets
Answer: A
Explanation:
When the SAP Analytics Cloud (SAC) modeler removes the first three characters from a public dimension imported from a source system, this change impacts Stories that use this dimension. Specifically, any visualizations, calculations, or filters within those stories that rely on the original dimension values may need to be adjusted to account for the change. This modification does not affect the source system or public datasets directly, but it can impact how the data appears and behaves in stories that use the modified dimension.
Reference:
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories
NEW QUESTION # 52
......
Pass Your SAP Exam with C-SAC-2421 Exam Dumps: https://passleader.dumpexams.com/C-SAC-2421-vce-torrent.html