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SAP C_SAC_2415 Exam Sample Questions

Question # 1

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. SAP HANA view
C. SAP Datasphere model
D. SAP Analytics Cloud analytic model

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Question # 2

You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?

A. Change the Year measure to a dimension in the dataset.

B. Includes the Year measure in a level-based time hierarchy in the dataset.

C. Insert a character into the Year measure using the transform bar.

D. Add the month as a suffix to the Year measure.

Answer

A. Change the Year measure to a dimension in the dataset.

Explanation:

If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.

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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 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 # 5

Which programming language is used for scripting in an SAP Analytics Cloud story?

A. Python

B. Wrangling Expression Language

C. ABAP

D. JavaScript

Answer

D. JavaScript

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