Prepare for your exam certification with our C_SAC_2415 Certified SAP [Q25-Q42]

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Prepare for your exam certification with our C_SAC_2415 Certified SAP

Free SAP C_SAC_2415 Exam 2025 Practice Materials Collection

NO.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?

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

NO.26 The SAP Analytics Cloud (SAC) modeler has removed the first three characters from an SAP Analytics Cloud public dimension imported from a source system. What is impacted by this change?

Public datasets

Source system

Stories

Embedded data sets

When the SAP Analytics Cloud (SAC) modeler removes the first three characters from a public dimension imported from a source system, this change impacts Stories that use this dimension. Specifically, any visualizations, calculations, or filters within those stories that rely on the original dimension values may need to be adjusted to account for the change. This modification does not affect the source system or public datasets directly, but it can impact how the data appears and behaves in stories that use the modified dimension.
Reference:
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories

NO.27 What must you use to transform data in a dataset using if/then/else logic?

Calculations editor

Custom expression editor

Formula bar

Transform bar

To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the “Custom expression editor”.
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, “High”, “Low”)
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation

NO.28 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.29 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.30 You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?

Use two properties

Use two hierarchies

Dis-able distribution

Dis-able allocations

NO.31 Which SAP Analytics Cloud feature uses natural language processing?

Digital boardroom

Data analyzer

Smart insight

Just Ask feature

NO.32 What can you use to organize dimensions into logical categories in a live model?

Level-based hierarchy

Groups

Value driver tree

Parent-child hierarchy

In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data’s hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models

NO.33 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?

Create the combined data in the source system.

Create a calculated dimension in the data model.

Create a calculated dimension in the story.

Group the Firstname and Lastname in the data model.

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

NO.34 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

NO.35 You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.

Custom expression editor

Formula bar

Calculation editor

Transform bar

NO.36 When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

Enable Keeping member names visible

Enable Auto-Size And Page Table Vertically

Freeze Up to row

Freeze Up to column

NO.37 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.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 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.41 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

NO.42 In a data model, what can you use to further describe a dimension?

Data action

Measure

Property

Variable

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

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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	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.
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	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.