SAP Updated C_SAC_2402 Exam Questions and Answers by mikayla

When entering values for several expense accounts in a data table in SAP Analytics Cloud, the "Mass" data entry mode should be used to process the data with a delay as defined in the System Administration settings. This mode is designed for bulk data entry, allowing users to input multiple values across different accounts or dimensions before the system processes these entries. This can be particularly useful in scenarios where a large volume of data needs to be entered and processed efficiently, and a delay is preferable to ensure data integrity and accuracy.

References:

• SAP Analytics Cloud Help Documentation: Data Entry and Data Action Processing
• SAP Analytics Cloud User Guide: Mass Data Entry and Processing

Factors that can cause a story to take a long time to open include a large calculation scope, complex formatting, and the use of many data sources. Extensive calculations and complex formatting can demand significant processing power, while multiple data sources may increase the time required to fetch and consolidate data, all of which can negatively impact the overall performance and loading times of a story.

References:

• SAP Analytics Cloud Help Documentation: Story Performance Considerations
• SAP Analytics Cloud User Guide: Managing Story Complexity and Data Sources for Better Performance

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

When you save a result from the Data Analyzer in SAP Analytics Cloud, it is saved as a Story. This allows you to preserve the analysis you've conducted in a structured, interactive format that can be further enhanced with visualizations, annotations, and customizations in the Story environment, making it easier to share insights and findings with others.

References:

• SAP Analytics Cloud Help Documentation: Data Analyzer to Story
• SAP Analytics Cloud User Guide: Saving and Sharing Data Analyzer Results