SAP C_SAC_2501 Exam Practice Test Instant Access

Question 1

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?

ACreate the combined data in the source system.

BCreate a calculated dimension in the data model.

CCreate a calculated dimension in the story.

DGroup 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.

Answer : B

SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions

SAP Analytics Cloud User Guide: Data Modeling Best Practices

Question 2

Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There

are 3 correct answers to this question.

ASAP Analytics Cloud public dataset

BSAP HANA view

CSAP Datasphere model

DSAP Analytics Cloud analytic model

ESAP BusinessObjects Universe

Answer : B, C, D

Question 3

What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to

this question.

ACalculations

BDimensions

CMeasures

DHierarchies
In SAP Analytics Cloud, a data model must contain at least 'Dimensions' and 'Measures' to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.

Answer : B, C

SAP Analytics Cloud Help Documentation: Building Data Models

SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models

Question 4

Where can you create a blank planning version?

AIn a data cell

BIn version management

CIn the version dimension

DIn 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.

Answer : B

SAP Analytics Cloud Help Documentation: Version Management in Planning

SAP Analytics Cloud User Guide: Creating New Versions for Planning

Question 5

What account types use the average rate type? Note: There are 2 correct answers to this question.

AINC

BAST

CEXP

DLEQ

Answer : A, C

Question 6

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

APublic dataset

BSAP Analytics Cloud model

CSource system

DEmbedded 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.

Answer : C

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.

Question 7

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

ASAP ERP Central Component

BSAP SuccessFactors

CSAP Business ByDesign Analytics

DSAP 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.

Answer : D

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

SAP C_SAC_2501 SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam Practice Test