C_HAMOD_2404 Dumps with Practice Exam Questions Answers

The simplest approach to create the required output from the provided table is to implement aUnion Nodein the calculation view and map each year as a separate column. This method efficiently aligns data across different columns without needing extensive calculations or additional filter expressions. It provides a structured output while minimizing complexity in the model.(Reference: SAP HANA Calculation View Modeling)

Performance Analysis modein SAP HANA calculation views provides insights into:

C. Information about join cardinality: It identifies whether joins are correctly defined and optimally used.

D. Joins that are defined on calculated columns: It highlights joins involving calculated columns, which can have significant performance implications.

Usage statistics (A) and memory consumption (B) are not direct outputs of Performance Analysis mode but may be derived from other tools or metrics.

To create a star schema using a calculation view with measures based on columns from two transaction tables:

Combine the transaction tables using a join node in a CUBE calculation view:The join node merges the transaction tables into a unified fact table.

Use a star join node to join the DIMENSIONS to the resulting fact table:The star join node integrates the attributes from the DIMENSION views with the measures in the fact table, completing the star schema design.

This approach adheres to best practices for building efficient star schemas in SAP HANA.(Reference: SAP HANA Star Schema Modeling Guide)

To fine-tune performance (B):Implementing SQL in calculation views can help optimize performance by leveraging advanced SQL features and minimizing unnecessary data movement.

To define dynamic analytic privileges (D):SQL enables the implementation of conditions for dynamic analytic privileges, ensuring fine-grained and context-sensitive data access.

Options A and C are less relevant as SQL is not primarily for expanding consumption possibilities or implementing functions, which are handled by other mechanisms in SAP HANA.

Implementing data replication involves these steps:

B. Create a remote subscription: Captures changes from the source system.

C. Create a target table: Stores replicated data in the target system.

E. Create a virtual table: Establishes access to the remote data source.

Enabling the linked database feature (A) and defining a flowgraph (D) are useful for related tasks but are not mandatory for replication.