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[Feb-2025] C_SAC_2415 Exam Dumps, C_SAC_2415 Practice Test Questions [Q34-Q58]

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  2. [Feb-2025] C_SAC_2415 Exam Dumps, C_SAC_2415 Practice Test Questions [Q34-Q58]

[Feb-2025] C_SAC_2415 Exam Dumps, C_SAC_2415 Practice Test Questions [Q34-Q58]

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[Feb-2025] C_SAC_2415 Exam Dumps, C_SAC_2415 Practice Test Questions

Attested C_SAC_2415 Dumps PDF Resource [2025]

SAP C_SAC_2415 Exam Syllabus Topics:

Topic Details
Topic 1
  • Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.
Topic 2
  • Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.
Topic 3
  • Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
Topic 4
  • Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.
Topic 5
  • Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.

 

Q34. What is required to use version management in a story?

 
 
 
 
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning

Q35. How can you limit the refresh time of a story?

 
 
 
 
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

Q36. Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

 
 
 
 
 

Q37. You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?

 
 
 
 
For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources

Q38. You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?

 
 
 
To ensure that labels are always visible on a column chart in a story, you should select the “Avoid Data Label Overlap” checkbox in the chart’s settings. This option adjusts the labels’ positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
Reference:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts

Q39. What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

 
 
 
 
 

Q40. Where can you change a data lock status? Note: There are 2 correct answers to this question.

 
 
 
 

Q41. Your users need to analyze data in a story. What kinds of data models can you create? Note: There are 2 correct answers to this question.

 
 
 
 

Q42. You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

 
 
 
 

Q43. You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?

 
 
 
 
If SAP Analytics Cloud interprets a ‘Year’ column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column’s role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating ‘Year’ as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.

Q44. In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

 
 
 
 
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

Q45. You have a live data model with two dimensions: Firstname and Lastname. Users want a single dimension in the data model that displays the dimensions as Lastname, Firstname. What must you do?

 
 
 
 
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices

Q46. Where can you create a blank planning version?

 
 
 
 
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

Q47. What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

 
 
 
 
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn’t change frequently, or there’s a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios

Q48. What source system can you connect to with a live connection?

 
 
 
 
SAP Analytics Cloud can establish a live connection with various source systems, including SAP Datasphere. This allows for real-time data access and analysis without the need to replicate data into the cloud, which is beneficial for scenarios where data privacy and security are paramount.
Reference:
SAP Analytics Cloud Connection Guide1
SAC Live and Import Connection Overview2
SAP Analytics Cloud: Expand Live Data Source Options3
Live connection in SAP Analytics Cloud: advantages and challenges4
Explaining Where the Data Comes From – SAP Learning5

Q49. Which programming language is used for scripting in an SAP Analytics Cloud story?

 
 
 
 

Q50. What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

 
 
 
 
In SAP Analytics Cloud, a data model must contain at least “Dimensions” and “Measures” to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models

Q51. When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

 
 
 
 

Q52. What features are supported by data analyzer? Note: There are 3 correct answers to this question.

 
 
 
 
 

Q53. You want to total several income and expense accounts using the account type property.
What configuration option in the advanced formula must you use?

 
 
 
 

Q54. You input new data for a private version in a story. What must you do to ensure the new data is added to the model?

 
 
 
 
When inputting new data for a private version in a story in SAP Analytics Cloud, it is necessary to “Publish” the data to ensure it is added to the model. Publishing the private version commits the changes to the underlying model, making the new data visible and accessible to other users according to their permissions. This step is crucial for ensuring that the updated data is incorporated into the shared model for further analysis and decision-making.
Reference:
SAP Analytics Cloud Help Documentation: Private Versions and Publishing SAP Analytics Cloud User Guide: Working with Private Versions in Stories

Q55. For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

 
 
 
 

Q56. How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

 
 
 
 

Q57. You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?

 
 
 
 

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