Question # 1
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 # 2
Which automatically created dimension type can you delete from an analytic data model? | A. Version | B. Date | C. Organization | D. Generic |
D. Generic
Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generateddimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
References:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models
Question # 3
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question. | A. Input data | B. Filter data | C. Drill down on data | D. Create cross-calculation |
B. Filter data C. Drill down on data
Explanation:
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
References:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer
Question # 4
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 # 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 |
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 # 6
You want to display differences between measures in a chart. What can you use? | A. Variance | B. Restricted measure | C. Threshold | D. Reference line |
A. Variance
Explanation:
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
References:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance
Question # 7
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
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