Question # 1 You are creating a styling rule for a table. What is the context? A. The most granular level in the tableB. The highest level in the tableC. The table headerD. The location of the cursor
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D. The location of the cursor
Question # 2 Which SAP Analytics Cloud feature uses natural language processing? A. Digital boardroomB. Data analyzerC. Smart insightD. Just Ask feature
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C. Smart insight
Question # 3 Which automatically created dimension type can you delete from an analytic data model? A. VersionB. DateC. OrganizationD. Generic
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D. Generic
Answer Description 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 # 4 You are using a live connection for a model. Where can you define data security? A. Source systemB. Data access controlC. SAP Analytics Cloud modelD. SAP Analytics Cloud role
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A. Source system
Answer Description 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 # 5 How can you determine node relationships in a value driver tree? Note: There are 2 correct answers
to this question. A. Use a dimension hierarchyB. Use a calculated memberC. Use a story calculated measureD. Use a model converted measure
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A. Use a dimension hierarchyB. Use a calculated member
Question # 6 You are creating a new public version. Which categories can you use? Note: There are 2 correct
answers to this question. A. BudgetB. ActualC. PredictiveD. Forecast
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A. BudgetB. Actual
Question # 7 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. ReferenceB. DriverC. DistributeD. Redistribute
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B. Driver
Answer Description 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.
References:
SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation
Question # 8 What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to
this question. A. CalculationsB. DimensionsC. MeasuresD. Hierarchies
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B. DimensionsC. Measures
Answer Description 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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