C_HAMOD_2404 SAP Certified Associate - Data Engineer - SAP HANA Questions and Answers

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.

To consume a custom data source defined using SQLScript, you write the SQLScript logic in atable function. Table functions are used to return tabular data, which can then be consumed in calculation views for further processing and analysis.

Best practices for writing SQLScript in calculation views include:

A. Break up large statements by using variables: This makes the script easier to read, maintain, and debug.

D. Choose declarative language instead of imperative language: Declarative SQL is more efficient and optimized for database processing in SAP HANA.

Dynamic SQL (B) and control flow logic (C) are discouraged due to potential performance and maintenance issues.

The key steps to implement currency conversion in a calculation view are:

Assign Semantic Type:Ensure that the column has the correct semantic type for currency conversion.

Enable the Measure for Conversion:Mark the measure as convertible.

Choose Client, Source, and Target Currencies:Define the currencies involved in the conversion.

Choose Conversion Date and Rate Type:Specify the date and the type of conversion rate (e.g., average, spot rate).

This structured process ensures accurate and consistent currency conversions in your data models.(Reference: SAP HANA Currency Conversion Guide)

Table Function (A):Graphical calculation views can incorporate table functions to integrate custom data processing logic written in SQLScript.

Row Table (C):Row tables can be included directly as data sources in graphical calculation views, providing flexibility in accessing structured data.

Options B (Procedure) and D (Scalar Function) are incorrect as they cannot be directly used as sources in graphical calculation views. Procedures and scalar functions serve different purposes in SAP HANA.

Nesting flowgraphs provides several advantages:

A. To reduce flowgraph maintenance: Nested flowgraphs promote reusability, reducing redundancy and simplifying maintenance.

C. To improve flowgraph performance: By nesting, you can modularize complex processes, optimize individual components, and enhance overall performance.

Additional node types (B) or simultaneous flowgraph execution (D) are not specific benefits of nesting.

To ensure that each customer name appears only once in the results when combining two tables using a union node, anaggregation nodeshould be added above the union node. The aggregation node consolidates duplicate entries by grouping the data based on unique customer names, effectively removing duplicates.

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 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.

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.

SAP Learning

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.

SAP Learning

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.

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)

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.

Aremote subscriptionupdates data in a local table based on changes made to a remote table. It monitors changes in the source table and synchronizes those updates with the local target table. This functionality is vital for replication and near-real-time data synchronization scenarios.

A restricted measure in SAP HANA is a measure that is filtered based on specific attribute values. This allows for focused analytics by calculating measures only for particular segments of data. For example, sales figures for a specific region or product category can be defined as restricted measures, enabling precise analysis within predefined data scopes.

If Table B is not pruned in a referential join, the possible issues could be:

C. The Keep flag is activated for the Customer column: This prevents pruning by forcing the inclusion of the column in query execution.

D. Integrity constraint is set to RIGHT: This setting implies that Table B data must always be considered in the join, disabling pruning.

Pruning depends on join conditions and flags; ensuring no unnecessary constraints is essential for proper optimization.

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.

Avoid defining joins on calculated columns (A):Joins on calculated columns can significantly impact performance because they require calculations before the join operation. It is better to minimize such scenarios.

Include all data flow logic within one calculation view (B):Consolidating logic within a single calculation view reduces complexity and improves maintainability, avoiding unnecessary data movement across multiple views.

Options C and D are less optimal because defining filters or aggregations on calculated columns can increase the computational overhead.

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.

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.

Acalculation view properties filecontains descriptions of all objects defined in the calculation view, such as attributes, measures, joins, and dependencies. This file serves as metadata documentation for understanding the view structure and dependencies.