Free C-SAC-2415 Braindumps Download Updated on Aug 11, 2025 with 62 Questions [Q32-Q53]

Posted On August 11, 2025

Free C-SAC-2415 Braindumps Download Updated on Aug 11, 2025 with 62 Questions

SAP C-SAC-2415 Exam Practice Test Questions

NO.32 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.33 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?

Save

Send

Publish

Nothing

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

NO.34 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.35 Which SAP Analytics Cloud feature uses natural language processing?

Digital boardroom

Data analyzer

Smart insight

Just Ask feature

NO.36 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

NO.37 Where can you change a data lock status? Note: There are 2 correct answers to this question.

Data action

Value lock management

Multi action

Calendar task

NO.38 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.39 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.40 Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

Aggregation

Date Difference

Restricted Measure

Difference From

NO.41 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.42 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.43 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.44 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.45 You are creating a script for an advanced data action. Which character designates a virtual variable member?

NO.46 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.47 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.48 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.49 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.50 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.51 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

NO.52 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.53 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

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