SAP C_SAC_2501 Questions and Answers Guarantee you Oass the Test Easily [Q26-Q48]

January 2, 2026 C_SAC_2501, SAP 0 Comments

SAP C_SAC_2501 Questions and Answers Guarantee you Oass the Test Easily [Q26-Q48]

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SAP C_SAC_2501 Questions and Answers Guarantee you Oass the Test Easily

Share Latest C_SAC_2501 DUMP with 62 Questions and Answers

SAP C_SAC_2501 Exam Syllabus Topics:

Topic	Details
Topic 1	Story Design: This section of the exam measures the skills of Data Analysts and covers story design concepts, accounting for The focus on creating effective visualizations and narratives using data.
Topic 2	Performance, Troubleshooting, and Security Management: This section measures the skills of IT Administrators and covers performance, troubleshooting, and security management, making up less than 10% of the exam. It focuses on optimizing performance, resolving issues, and ensuring data security in data visualization environments.
Topic 3	Connections and Data Preparation: This section targets Data Engineers and covers connections and data preparation, The focus is on connecting to data sources and preparing data for visualization.
Topic 4	Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
Topic 5	Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.

Q26. What type of predictive scenario can write back to a planning model?

Regression

Value driver tree

Classification

Time series forecast

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

Q27. 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?

Level

Hierarchy

Cardinality

Granularity

Q28. Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

Aggregation

Date Difference

Restricted Measure

Difference From

Q29. Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

Large calculation scope

Many story filters

Many hyperlinks

Complex formatting

Many data sources

Q30. You are using a live connection for a model. Where is the data stored?

Public dataset

SAP Analytics Cloud model

Source system

Embedded data set

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.

Q31. 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.

Standalone

Embedded

Planning

Analytic

Q32. What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.

Use responsive pages

Avaid tables with more than 500 rows and 60 columns

Load widgets in the background

Use conditional formatting

Avaid prompts

Q33. 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?

You must create a new dataset.

You must manually reimport the data.

You must refresh the story that uses the dataset.

You can schedule the dataset to update on a regular basis.

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

Q34. For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

Add JavaScript to a button

Add a popup

Add a layer to a geo map

Add a custom widget

Q35. You are creating a script for an advanced data action. Which character designates a virtual variable member?

Q36. What features are supported by data analyzer? Note: There are 3 correct answers to this question.

Linked dimensions

Charts

Conditional formatting

Input controls

Calculated measures

Q37. Which dimension type can you use like a measure?

Account

Date

Organization

Entity

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

Q38. To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.

Table

Lane

Chart

Composite

In SAP Analytics Cloud stories, conditional formatting can be applied to Table and Chart elements. This feature allows users to visually highlight data points based on specific conditions, such as thresholds, ranges, or comparisons, making it easier to identify trends, outliers, or areas of interest within the data presented in tables and charts.
Reference:
SAP Analytics Cloud Help Documentation: Conditional Formatting
SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts

Q39. You are creating an allocation step to distribute expenses from the HR cost center to your operating cost centers. Which dimension setting controls how much is distributed to each operating cost center?

Reference

Driver

Distribute

Redistribute

In the context of creating an allocation step to distribute expenses from the HR cost center to operating cost centers in SAP Analytics Cloud, the “Driver” dimension setting is crucial. This setting determines the basis or criteria on which the distribution is calculated and applied to each operating cost center. For instance, the driver could be the number of employees, square footage, or any other relevant metric that justifies the distribution of costs. By defining a driver, you ensure that the allocation of expenses is proportional and fair based on the selected criteria.
Reference:
SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation

Q40. 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?

Nothing

Save

Publish

Send

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

Q41. What is required to use version management in a story?

Planning model

Classic mode

Analytic model

Optimized mode

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

Q42. How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

Use fewer MEMBERSET statements

Use fewer FOREACH functions

Use fewer IF statements

Use fewer data functions

Use fewer aggregation dimension functions

Q43. Which programming language is used for scripting in an SAP Analytics Cloud story?

Python

Wrangling Expression Language

ABAP

JavaScript

Q44. What source system can you connect to with a live connection?

SAP ERP Central Component

SAP SuccessFactors

SAP Business ByDesign Analytics

SAP Datasphere

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

Q45. You want to use an input control to filter data appearing in a story. At what level is the filter applied?

Calculation

Page

Component

Story

When using an input control to filter data in a SAP Analytics Cloud story, the filter is applied at the Page level. This means that the selected filter criteria will affect all the components (tables, charts, etc.) on that particular page, allowing for a cohesive and consistent view of the data filtered according to the chosen parameters.
Reference:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls SAP Analytics Cloud User Guide: Page-Level Filtering in Stories

Q46. 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?

Grid

Responsive

Composite

Canvas

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

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

Live

On-premise

Cloud

Import

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

Unbooked

Append

Signflip

Aggregate To

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