C_HAMOD_2404 Questions and Answers

To verify if pruning occurs with a referential join in a calculation view:

Enable the Debug Query Mode (C):This mode helps identify which columns from the source tables are being utilized in the query execution.

Performance Analysis Mode (D):Observing which columns are mapped and analyzed in this mode indicates the impact of referential joins and whether data sources are effectively pruned.

The.hdiconfigfile in an XS Advanced project is used to specify whichHDI plug-insare available for use in the project. These plug-ins define how different file types are processed and deployed within the HDI container. For example, plug-ins might be defined for handling calculation views, tables, or sequences.

To identify companies that sold products in both January and February, anIntersect Nodeis optimal. It compares two datasets and retrieves only the records that exist in both. In this scenario, the intersect node ensures that only companies with sales in both months are included in the output.

In dynamic SQL analytic privileges, aprocedurereturns the data access condition as an SQL expression. This approach allows for dynamic evaluation of access conditions based on runtime criteria, such as user roles or specific query parameters.

TheDebug Query modein SAP HANA allows you to generate and execute SQL for a specific node in your calculation view. This mode is used to analyze the behavior of individual nodes in a calculation view and troubleshoot issues such as unexpected data output or performance bottlenecks.

TheKeep Flagproperty in an aggregation node ensures that columns not directly requested by a query are still included in the calculation process if they are critical for the correctness of the result. For example, these columns may serve as grouping or filter criteria in intermediate processing stages, even if not explicitly displayed in the final query output.

When a design-time file of a calculation view is deleted, the corresponding runtime object (thedatabase view) is not automatically removed. To ensure that it is also removed from the database, you mustbuild the projectthat contained the deleted design-time file. This triggers the HDI container to synchronize the runtime objects with the current state of the design-time artifacts.

AnInner Joinsupports temporal conditions in SAP HANA calculation views. Temporal conditions involve filtering data based on time-based attributes, such as effective dates or validity periods. Inner joins are capable of including such conditions directly in the join logic to ensure that only matching records based on the temporal criteria are included in the results.

To fill the input parameters of a table function in a calculation view:

Define constant values (A):Assigning constants directly ensures that static values are passed to the table function.

Map columns from lower nodes (D):Input parameters can dynamically take values from columns in lower-level nodes.

Create and map an input parameter (E):Defining an input parameter in the calculation view and mapping it to the table function provides flexibility and parameterization for the logic.

Options B and C are not valid as procedures or hierarchy nodes are not applicable in this context.(Reference: SAP HANA Calculation View Modeling Guide)

TheTransparent Filterproperty is used in SAP HANA to allow filter push-down in stacked calculation views. This ensures that filters applied to one layer of the view are propagated to underlying views, enhancing performance by reducing the volume of data processed at higher levels.(Reference: SAP HANA Transparent Filter Guide)

The characteristics of aSHARED replica tableinclude:

B. The replica table always stores real-time data: Ensures synchronization with the source table.

D. You can toggle queries routing between remote table data and replica table data: Flexibility in query routing allows efficient use of data.

E. You do not need to create the physical replica table manually: It is automatically created during the replication setup.

Virtual tables (A) are not referenced directly by consuming applications, and replica table naming (C) is typically system-defined.

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.

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)

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.

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)