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 |
B. SAP HANA view
C. SAP Datasphere model
D. SAP Analytics Cloud analytic model
Question # 2
| 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 measure |
A. Use a dimension hierarchy
B. Use a calculated member
Question # 3
| What source system can you connect to with a live connection? |
| A. SAP ERP Central Component | | B. SAP SuccessFactors | | C. SAP Business ByDesign Analytics | | D. SAP Datasphere |
D. SAP Datasphere
Explanation:
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.
References:
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
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 |
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
Question # 5
| What type of predictive scenario can write back to a planning model? |
| A. Regression | | B. Value driver tree | | C. Classification | | D. Time series forecast |
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
Question # 6
| 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 |
A. Custom expression editor
D. Transform bar
Question # 7
| Which features are available in the Optimized Design Experience? Note: There are 3 correct
answers to this question. |
| A. Undo button | | B. Grid pages | | C. Linked widgets diagram | | D. Composites | | E. Explorer |
A. Undo button
C. Linked widgets diagram
D. Composites
Question # 8
| 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 |
B. Charts
C. Conditional formatting
E. Calculated measures
Question # 9
| 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 |
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.
Question # 10
| For which activities must you enable Advanced Mode in story design? Note: There are 2 correct
answers to this question. |
| A. Add JavaScript to a button | | B. Add a popup | | C. Add a layer to a geo map | | D. Add a custom widget |
A. Add JavaScript to a button
B. Add a popup
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