[Oct 07, 2025] Latest SAP C-SAC-2501 Exam Practice Test To Gain Brilliante Result [Q35-Q55]

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Latest [Oct 07, 2025] SAP C-SAC-2501 Exam Practice Test To Gain Brilliante Result

Take a Leap Forward in Your Career by Earning SAP C-SAC-2501

NO.35 Which programming language is used for scripting in an SAP Analytics Cloud story?

Python

Wrangling Expression Language

ABAP

JavaScript

NO.36 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.37 You want to save your data analyzer result. What is it saved as?

Story

Insight

Dataset

Model

NO.38 What account types use the average rate type? Note: There are 2 correct answers to this question.

INC

AST

EXP

LEQ

NO.39 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?

Fluid

Single

Mass

NO.40 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.41 Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.

SAP Analytics Cloud public dataset

SAP HANA view

SAP Datasphere model

SAP Analytics Cloud analytic model

SAP BusinessObjects Universe

NO.42 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.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 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

NO.45 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

NO.46 Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.

Input data

Filter data

Drill down on data

Create cross-calculation

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

NO.47 You are using a live connection for a model. Where can you define data security?

Source system

Data access control

SAP Analytics Cloud model

SAP Analytics Cloud role

When using a live connection in SAP Analytics Cloud, data security is defined and managed within the source system. This approach leverages the existing security protocols and permissions set up in the source system, ensuring that data governance and access controls remain consistent and are centrally managed. Users accessing data through SAP Analytics Cloud with a live connection will be subject to the same security constraints and permissions as if they were accessing the data directly from the source system. This integration ensures a unified security model, simplifying administration and ensuring data security and compliance.

NO.48 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.49 What can you use input controls for in a story? Note: There are 2 correct answers to this question.

Changing dimensions or measures displayed in a table

Filtering data on a page

Selecting an alternate data source

Implementing row-level and column-level security in a table

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

NO.50 You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

Budget

Actual

Predictive

Forecast

NO.51 Which automatically created dimension type can you delete from an analytic data model?

Version

Date

Organization

Generic

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

NO.52 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.53 You want to display differences between measures in a chart. What can you use?

Variance

Restricted measure

Threshold

Reference line

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

NO.54 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?

Change the Year measure to a dimension in the dataset.

Includes the Year measure in a level-based time hierarchy in the dataset.

Insert a character into the Year measure using the transform bar.

Add the month as a suffix to the Year measure.

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.

NO.55 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

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