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SAP C_SAC_2415 Exam Sample Questions

Question # 1

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

A. Budget
B. Actual

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Question # 2

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. Time series forecast

Explanation:

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.

References:

SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning
SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models

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Question # 3

What features are supported by data analyzer? Note: There are 3 correct answers to this question.

A. Linked dimensions

B. Charts

C. Conditional formatting

D. Input controls

E. Calculated measures

Answer

B. Charts
C. Conditional formatting
E. Calculated measures

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Question # 4

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. Dimensions
C. Measures

Explanation:

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.

References:

SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models

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Question # 5

You are using a live connection for a model. Where can you define data security?

A. Source system

B. Data access control

C. SAP Analytics Cloud model

D. SAP Analytics Cloud role

Answer

A. Source system

Explanation:

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.

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