SAP C_SAC_2501 Real Exam Questions Guaranteed Updated Dump from Exams4sures [Q26-Q46]

Posted On December 24, 2025

SAP C_SAC_2501 Real Exam Questions Guaranteed Updated Dump from Exams4sures

Verified Pass C_SAC_2501 Exam in First Attempt Guaranteed

SAP C_SAC_2501 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
Topic 3	Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
Topic 4	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 5	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.

NO.26 Where can you create a blank planning version?

In a data cell

In version management

In the version dimension

In the planning model

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

NO.27 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

NO.28 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

NO.29 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.

NO.30 Which SAP Analytics Cloud feature uses natural language processing?

Digital boardroom

Data analyzer

Smart insight

Just Ask feature

NO.31 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

NO.32 You are creating a styling rule for a table. What is the context?

The most granular level in the table

The highest level in the table

The table header

The location of the cursor

NO.33 Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

Undo button

Grid pages

Linked widgets diagram

Composites

Explorer

NO.34 In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

Date

Version

Entity

Organization

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

NO.35 How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

Use a dimension hierarchy

Use a calculated member

Use a story calculated measure

Use a model converted measure

NO.36 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

NO.37 You are creating a script for an advanced data action. Which character designates a virtual variable member?

NO.38 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

NO.39 You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

Create a Review task for the story

Add a Comment widget to the story

Share with View access

Include the story in a Discussion

NO.40 You are creating a styling rule for a table with a hierarchy of Country, Region, and City. You want to apply the styling rule only to countries. Which level option must you use?

Self and Siblings

Self and Children

Self and Descendants

Self

To apply a styling rule only to countries in a table with a hierarchy of Country, Region, and City in SAP Analytics Cloud, you must use the “Self” level option. This option ensures that the styling rule is applied specifically to the level of the hierarchy representing countries, without affecting the styling of regions, cities, or any other hierarchical levels.
Reference:
SAP Analytics Cloud Help Documentation: Styling Hierarchical Tables
SAP Analytics Cloud User Guide: Hierarchical Styling Options

NO.41 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

NO.42 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

NO.43 Your embedded dataset in SAP Analytics Cloud has columns for Country, Region, City, and Customer Name. You want to aggregate measures for these columns as a single column. What can you do?

Create a group that includes the dimensions.

Create a level-based hierarchy in the dataset.

Create a parent-child hierarchy in the dataset.

Convert the embedded dataset to a model.

To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).
Reference:
SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
SAP Analytics Cloud User Guide: Data Modeling and Hierarchies

NO.44 In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

Embedded data set

Live data model

Data analyzer insight

Standalone dataset

Imported data model

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

NO.45 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

NO.46 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

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