SAP C_HAMOD_2404 - SAP Certified Associate - Data Engineer - SAP HANA

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.

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.

The "Ignore multiple outputs for filters" property in a calculation view ensures that filters are applied consistently and correctly at thelowest node. This setting forces filters to be applied as early as possible in the data flow, ensuring that redundant or incorrect data processing does not occur at higher nodes. This improves performance and maintains the integrity of the filter logic.

Partition large tables (B):Partitioning tables allows for parallel processing of data subsets, significantly improving query execution times.

Limit the number of stacked calculation views (C):Reducing layers of calculation views minimizes complexity and execution overhead, leading to better performance.

Options A and D are incorrect or less effective. Union pruning should be enabled to improve performance, and while aggregating data early can sometimes be beneficial, it is not universally optimal for performance tuning.

When you build or deploy a flowgraph, the following can be generated:

Batch Task (A):Allows execution of the flowgraph in batch mode.

Procedure (B):Encapsulates the flowgraph logic for execution.

Real-time Task (D):Supports near-real-time execution scenarios.

Options C (Function) and E (Replication Task) are not directly generated by flowgraphs.(Reference: SAP HANA Flowgraph Documentation)

ï‚·The block must start with a node that defines a table as a data source (C):Parallelization blocks are designed to work with table-based nodes as starting points for splitting workloads.

ï‚·Only one block can be defined across a stack of calculation views (D):This restriction ensures consistency and avoids conflicts during parallel execution.

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.

The credentials clause defines TYPE 'PASSWORD' but does not specify a technical user (A):The technical user must be provided when TYPE 'PASSWORD' is used for authentication.

The specified adapter is not registered with your SAP HANA system (D):The adapter must be properly registered and available in the SAP HANA system to establish a remote source connection.

Options B and C are incorrect as network reachability issues are not related to the SQL statement syntax, and the CREATE REMOTE SOURCE privilege must exist on the SAP HANA system, not the remote system.