SAP Updated C_SAC_2402 Exam Questions and Answers by huxley

In SAP Analytics Cloud, to delete characters from a column in a dataset, you can use both the Custom Expression Editor and the Calculation Editor. The Custom Expression Editor allows you to create complex calculations and manipulations of your data using a wide range of functions, including those that can remove characters from strings. Similarly, the Calculation Editor offers functionalities for creating calculated columns where you can apply expressions to modify or remove characters from existing data fields. Both these features provide the flexibility to cleanse and transform your data as per your analysis requirements.

References:

• SAP Analytics Cloud Help Documentation: Custom Calculations and Expressions
• SAP Analytics Cloud User Guide: Data Preparation and Modeling

For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.

References:

• SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
• SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources

To transform data in a dataset using if/then/else logic within SAP Analytics Cloud, the Calculations editor is used. This feature allows users to create calculated columns or measures based on conditional logic, enabling complex data manipulation and enhancement directly within the platform. The Calculations editor provides a flexible environment to apply logical expressions, arithmetic operations, and functions to dataset columns, facilitating customized data analysis and reporting needs.

When creating a styling rule for a table in SAP Analytics Cloud, the context refers to "The most granular level in the table." This means that the styling rule will be applied to the lowest level of data detail available in the table, such as individual cells or rows, allowing for precise control over the appearance of specific data points or categories within the table.

References:

• SAP Analytics Cloud Help Documentation: Styling Tables
• SAP Analytics Cloud User Guide: Applying Styling Rules to Table Data