SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam
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Exam Code
C_SAC_2501
Exam Name
SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam
Questions
60 Questions Answers With Explanation
Update Date
06, 16, 2026
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SAP C_SAC_2501 Sample Question Answers
Question # 1
Which SAP Analytics Cloud feature uses natural language processing?
A. Digital boardroom B. Data analyzer C. Smart insight D. Just Ask feature
Answer: D
Question # 2
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.
A. Standalone B. Embedded C. Planning D. Analytic
Answer: C,D
Question # 3
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?
A. Create the combined data in the source system. B. Create a calculated dimension in the data model. C. Create a calculated dimension in the story. D. Group the Firstname and Lastname in the data model.
Answer: B
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
Question # 4
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
A. SAP Analytics Cloud public dataset B. SAP HANA view C. SAP Datasphere model D. SAP Analytics Cloud analytic model E. SAP BusinessObjects Universe
Answer: B,C,D
Question # 5
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
A. Calculations B. Dimensions C. Measures D. Hierarchies
Answer: B,C
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.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models
Question # 6
Where can you create a blank planning version?
A. In a data cell B. In version management C. In the version dimension D. In the planning model
Answer: B
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
Question # 7
What account types use the average rate type? Note: There are 2 correct answers to this question.
A. INC B. AST C. EXP D. LEQ
Answer: A,C
Question # 8
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?
A. Save B. Send C. Publish D. Nothing
Answer: C
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
Question # 9
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.
A. Budget B. Actual C. Predictive D. Forecast
Answer: B,D
Question # 10
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
A. Use a dimension hierarchy B. Use a calculated member C. Use a story calculated measure D. Use a model converted measureAnswer: A B
Answer: A,B
Question # 11
What type of predictive scenario can write back to a planning model?
A. Regression B. Value driver tree C. Classification D. Time series forecast
Answer: D
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
Question # 12
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.
A. Use fewer MEMBERSET statements B. Use fewer FOREACH functions C. Use fewer IF statements D. Use fewer data functions E. Use fewer aggregation dimension functions
Answer: B,C,D
Question # 13
Where can you change a data lock status? Note: There are 2 correct answers to this question.
A. Data action B. Value lock management C. Multi action D. Calendar task
Answer: C,D
Question # 14
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?
A. Fluid B. Single C. Mass
Answer: A
Question # 15
You are creating an allocation step to distribute expenses from the HR cost center to your operating cost centers. Which dimension setting controls how much is distributed to each operating cost center?
A. Reference B. Driver C. Distribute D. Redistribute
Answer: B
In the context of creating an allocation step to distribute expenses from the HR cost center to
operating cost centers in SAP Analytics Cloud, the "Driver" dimension setting is crucial. This setting
determines the basis or criteria on which the distribution is calculated and applied to each operating
cost center. For instance, the driver could be the number of employees, square footage, or any other
relevant metric that justifies the distribution of costs. By defining a driver, you ensure that the
allocation of expenses is proportional and fair based on the selected criteria.
Reference:
SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation
Question # 16
What can you do with a multi action? Note: There are 2 correct answers to this question.
A. Run allocation data actions B. Import transaction data C. Approve data D. Run allocation processes
Answer: A B
Question # 17
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?
A. Use two properties B. Dis-able allocations C. Use two hierarchies D. Dis-able distribution
Answer: C
When you have a dimension with members for product groups and associated products and want to
plan by product group without disaggregating into the individual products, using two hierarchies is
the best approach. One hierarchy can represent the product groups at a higher level, allowing for
planning and analysis at the group level. The second hierarchy can include both the product groups
and their associated individual products for more detailed analysis when needed. This approach
provides flexibility in planning and analyzing data at different levels of detail without the necessity of
disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning
Question # 18
You want to total several income and expense accounts using the account type property. What configuration option in the advanced formula must you use?
A. Unbooked B. Append C. Signflip D. Aggregate To
Answer: C
Question # 19
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?
A. Level B. Hierarchy C. Cardinality D. Granularity
Answer: C
Question # 20
You are creating a script for an advanced data action. Which character designates a virtual variable member?
A. % B. / C. * D. #
Answer: A
Question # 21
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?
A. Create a group that includes the dimensions. B. Create a level-based hierarchy in the dataset. C. Create a parent-child hierarchy in the dataset. D. Convert the embedded dataset to a model.
Answer: B
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
Question # 22
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
A. Live B. On-premise C. Cloud D. Import
Answer: A D
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
Question # 23
What can you use to organize dimensions into logical categories in a live model?
A. Level-based hierarchy B. Groups C. Value driver tree D. Parent-child hierarchy
Answer: D
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
Question # 24
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.
A. Custom expression editor B. Formula bar C. Calculation editor D. Transform bar
Answer: A D
Question # 25
You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.
A. Allow model import B. Refresh the story C. Refresh the import job D. Schedule the import
Answer: B, D
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a
story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring
the model is regularly updated with the latest data from the source system. This automated process
helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the
transaction data of the model's data source.
Feedback That Matters: Reviews of Our SAP C_SAC_2501 Dumps
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