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[Dec-2025] Pass C_SAC_2421 Exam in First Attempt Updated C_SAC_2421 Exam Questions [Q16-Q33]

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[Dec-2025] Pass C_SAC_2421 Exam in First Attempt Updated C_SAC_2421 Exam Questions

SAP Certified Associate Dumps C_SAC_2421 Exam for Full Questions - Exam Study Guide

NEW QUESTION # 16
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

  • A. Budget
  • B. Predictive
  • C. Forecast
  • D. Actual

Answer: A,D


NEW QUESTION # 17
You are creating a script for an advanced data action. Which character designates a virtual variable member?

  • A. %
  • B. *
  • C. #
  • D. /

Answer: D


NEW QUESTION # 18
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?

  • A. Nothing
  • B. Send
  • C. Save
  • D. Publish

Answer: D

Explanation:
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


NEW QUESTION # 19
Which programming language is used for scripting in an SAP Analytics Cloud story?

  • A. Python
  • B. ABAP
  • C. JavaScript
  • D. Wrangling Expression Language

Answer: C


NEW QUESTION # 20
What account types use the average rate type? Note: There are 2 correct answers to this question.

  • A. EXP
  • B. AST
  • C. LEQ
  • D. INC

Answer: A,D


NEW QUESTION # 21
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 BusinessObjects Universe
  • B. SAP HANA view
  • C. SAP Analytics Cloud analytic model
  • D. SAP Datasphere model
  • E. SAP Analytics Cloud public dataset

Answer: B,C,D


NEW QUESTION # 22
You want to total several income and expense accounts using the account type property.
What configuration option in the advanced formula must you use?

  • A. Append
  • B. Aggregate To
  • C. Signflip
  • D. Unbooked

Answer: C


NEW QUESTION # 23
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

  • A. Input data
  • B. Create cross-calculation
  • C. Drill down on data
  • D. Filter data

Answer: C,D

Explanation:
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer


NEW QUESTION # 24
In a data model, what can you use to further describe a dimension?

  • A. Measure
  • B. Data action
  • C. Variable
  • D. Property

Answer: D

Explanation:
In a data model within SAP Analytics Cloud, Properties are used to further describe dimensions. Properties provide additional context or metadata for dimension members, such as descriptions, classifications, or other attributes that help to better understand and analyze the data within the dimension. This makes properties essential for detailed data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Dimension Properties
SAP Analytics Cloud User Guide: Enhancing Dimensions with Properties


NEW QUESTION # 25
You are designing a new story. You want the size and position of widgets to adjust dynamically for viewing on different devices and screen sizes. Which page type must you use?

  • A. Responsive
  • B. Canvas
  • C. Composite
  • D. Grid

Answer: A

Explanation:
For designing a new story in SAP Analytics Cloud where the size and position of widgets need to adjust dynamically for different devices and screen sizes, the Responsive page type should be used. Responsive pages automatically adapt to the screen size of the device they are viewed on, providing an optimal viewing experience across desktops, tablets, and smartphones.
Reference:
SAP Analytics Cloud Help Documentation: Responsive Design in Stories
SAP Analytics Cloud User Guide: Building Responsive Pages


NEW QUESTION # 26
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

  • A. Use a calculated member
  • B. Use a dimension hierarchy
  • C. Use a model converted measure
  • D. Use a story calculated measure

Answer: A,B


NEW QUESTION # 27
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

  • A. Data analyzer insight
  • B. Live data model
  • C. Embedded data set
  • D. Standalone dataset
  • E. Imported data model

Answer: C,D,E

Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets


NEW QUESTION # 28
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

  • A. Many story filters
  • B. Many hyperlinks
  • C. Many data sources
  • D. Complex formatting
  • E. Large calculation scope

Answer: A,C,D


NEW QUESTION # 29
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. Refresh the import job
  • B. Schedule the import
  • C. Allow model import
  • D. Refresh the story

Answer: B,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 # 30
You are using a live connection for a model. Where is the data stored?

  • A. SAP Analytics Cloud model
  • B. Public dataset
  • C. Embedded data set
  • D. Source system

Answer: D

Explanation:
Connections and data preparation
When using a live connection in SAP Analytics Cloud, the data remains stored in the source system. This means that no data is imported or replicated into SAP Analytics Cloud; instead, it is accessed and analyzed in real-time directly from the source system. This approach ensures that the most current data is always used for analysis and that data governance and security policies of the source system remain in control.
Reference:
Live Data Connections to SAP S/4HANA | SAP Help Portal1
SAP Analytics Cloud Connection Guide2
SAP Analytics Cloud Data Connections - InsightCubes
In the context of SAP Analytics Cloud, when using a live connection to connect to a data source, the data remains stored in the source system. This setup means that SAP Analytics Cloud directly queries the data in its original location, without importing or copying it into the SAP Analytics Cloud environment. This approach is advantageous for several reasons, including maintaining a single source of truth, reducing data redundancy, and ensuring data is always up-to-date without the need for synchronization processes. Live connections are particularly useful for real-time or near-real-time data analysis and reporting, providing insights based on the most current data available without the overhead of data replication.
SAP Analytics Cloud documentation and user guides typically emphasize the benefits and use cases of live connections, highlighting how they maintain data in the source system to ensure real-time data access and analysis.
SAP training materials for Data Analysts using SAP Analytics Cloud, including study guides and official certification resources, explain the technical and practical aspects of live connections, including where data is stored and how it is accessed.
Best practice guides for SAP Analytics Cloud, often available through the SAP Community or SAP Knowledge Base, provide insights and recommendations on setting up and using live connections, reinforcing the concept that data stays in the source system.


NEW QUESTION # 31
You are entering values for several expense accounts in a data table. Which data entry mode must you use to process the data with a delay defined in System Administration?

  • A. Single
  • B. Fluid
  • C. Mass

Answer: B


NEW QUESTION # 32
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

  • A. Avaid tables with more than 500 rows and 60 columns
  • B. Load widgets in the background
  • C. Use responsive pages
  • D. Avaid prompts
  • E. Use conditional formatting

Answer: A,B,E


NEW QUESTION # 33
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