Free SAP C_HAMOD_2404 Practice Exam with Questions & Answers

For a calculation view of typeCUBE, the default top view node is theAggregationnode. This node summarizes data based on specified grouping and performs aggregations, making it suitable for analytical purposes and star schemas.

The limitations of using a full outer join in a star join node include:

It must appear in the last DIMENSION in the star join node (C):Full outer joins can only be implemented on the last dimension table in the star join node due to the complex nature of the resulting data set. This restriction ensures data integrity and predictable query results.

It is restricted to one DIMENSION in a star join node (D):Full outer joins cannot be used across multiple dimensions in a single star join node, limiting their scope to a specific table-to-table relationship within the star join design.

Given the diagram (assumed context) and the analytic privileges (P1 and P2):

Data visible forUS with P1is allowed, as P1 explicitly includes this region.

No other combinations are permissible based on the defined privileges and hierarchy of calculation views.

This restricts the output toUS for P1 only.

Areferential joinis chosen to ignore unnecessary data sources, as it assumes that corresponding records exist in the target table for every record in the source table. This join type avoids querying the target table when the data is not required, improving performance while maintaining logical integrity.

The input parameters of calculation view B might not be proposed as source parameters because they are already mapped in another calculation view. SAP HANA restricts the re-mapping of input parameters that have already been assigned to maintain consistent logic and avoid conflicts. When input parameters are pre-mapped in one calculation view, they cannot be reused as source parameters elsewhere without unlinking the prior mapping.

To improve the performance of joins in aCUBE calculation view, the following approaches are recommended:

A. Specify the join cardinality: Defining the cardinality helps the optimizer understand the data relationships and execute the join efficiently.

B. Limit the number of joined columns: Reducing the number of columns involved in the join minimizes data processing overhead, improving query performance.

Using afull outer join(C) or avoiding inner joins (D) are less performance-optimized in most scenarios.

When theNull Handlingproperty is set for an attribute in SAP HANA, and no default value is provided, a null value in a column of typeNVARCHARis displayed as an empty string (""). This default behavior ensures clarity in data presentation, especially in text fields where nulls are typically replaced with a blank representation.

AnInput Parameteris used in calculated columns to process dynamic values within expressions. Input parameters can be defined to accept runtime values or calculations, enabling dynamic data manipulation within a calculation view. Variables, in contrast, are primarily used for filtering.

Shared hierarchies in SAP HANA offer the following functionalities:

Provide reusable hierarchies for drilldown in a CUBE with star join:Shared hierarchies can be defined once and reused across multiple calculation views, particularly in CUBE views with star joins. This promotes consistency and efficiency in hierarchical data representation and drilldown capabilities.

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Enable SQL SELECT statements to access hierarchies:Shared hierarchies are accessible via SQL, allowing for direct querying and manipulation using standard SQL commands. This facilitates integration with various applications and reporting tools that utilize SQL for data access.

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Options B and C are not correct:

Access hierarchies created in external schemas:Shared hierarchies are typically managed within the SAP HANA environment and may not directly access hierarchies from external schemas without additional configuration.

Provide reusable hierarchies for drilldown in a CUBE without star join:While shared hierarchies can be used in various calculation views, their primary integration and reuse are optimized for CUBE views with star joins.