C_SAC_2402 Exam Dumps - SAP Certified Associate Questions and Answers

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

When the SAP Analytics Cloud (SAC) modeler removes the first three characters from a public dimension imported from a source system, this change impacts Stories that use this dimension. Specifically, any visualizations, calculations, or filters within those stories that rely on the original dimension values may need to be adjusted to account for the change. This modification does not affect the source system or public datasets directly, but it can impact how the data appears and behaves in stories that use the modified dimension.

References:

• SAP Analytics Cloud Help Documentation: Modifying Dimensions
• SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories

Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.

References:

• SAP Analytics Cloud Help Documentation: Input Controls in Stories
• SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction

With a multi-action in SAP Analytics Cloud, you can execute several actions sequentially within a single operation. This includes running allocation data actions and allocation processes. Allocation data actions allow you to distribute values across various dimensions based on specified rules, which is useful for cost allocations, revenue spreading, etc. Allocation processes involve more complex scenarios where multiple steps and calculations are needed to allocate data according to business logic. Multi-actions streamline workflows by combining these actions, thereby enhancing efficiency and reducing the need for manual intervention in complex allocation scenarios.

References:

• SAP Analytics Cloud Help Documentation: Multi Actions in Planning
• SAP Analytics Cloud User Guide: Allocation Data Actions and Processes