SAP C_SAC_2402 Exam With Confidence Using Practice Dumps

To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.

References:

• SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
• SAP Analytics Cloud User Guide: Data Modeling Best Practices

To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).

References:

• SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
• SAP Analytics Cloud User Guide: Data Modeling and Hierarchies

In SAP Analytics Cloud, you can create Embedded and Analytic data models to support data analysis in stories. Embedded models are created within specific stories and are tailored for that story's analysis needs. Analytic models, on the other hand, are standalone models that can be reused across multiple stories and provide a broader, more general-purpose data structure for analysis.

References:

• SAP Analytics Cloud Help Documentation: Data Models in Stories
• SAP Analytics Cloud User Guide: Embedded vs. Analytic Models