C_HAMOD_2404 Practice Exam Questions with Answers SAP Certified Associate - Data Engineer - SAP HANA Certification

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 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.

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.

Unfolding is a query optimization technique where parts of a calculation view are translated into SQL. Consequences include:

Count-distinct results are incorrect (B):The unfolding process may not preserve distinct counting logic correctly, potentially leading to inaccuracies.

SQL compilation time increases (C):The complexity of unfolded SQL queries can lead to longer compilation times due to the intricate relationships and data structures involved.

Option A is incorrect because unfolding does not relate to static caching, and D is partially correct but not as significant as B and C.

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 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.

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.

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.

TheHidden Columnscheckbox in the semantics node is used for the following reasons:

C. To ensure specific columns are NOT exposed to the reporting tool: This prevents unwanted columns from appearing in the reporting layer while retaining their use internally within the calculation view.

D. To remove a column that is also used as a Label column: This hides columns used only for labeling purposes from being directly exposed in the output.

CREATE VIRTUAL TABLE on the remote source (B):This privilege allows the creation of virtual tables that reference remote tables in the target schema.

CREATE ANY on the target schema (C):This privilege ensures that virtual tables can be created in the specified target schema.

Option A (SELECT on the source object) and D (ALTER on the remote source) are not sufficient or required for creating a virtual table.

To expose a hierarchy to SQL, the following conditions must be met:

B. The hierarchy must be a shared hierarchy: This ensures the hierarchy is reusable and can be consumed in other scenarios.

D. The hierarchy must be exposed by a CUBE calculation view with a star join: Only a cube view with a star join supports SQL exposure for hierarchies.

Local hierarchies and those defined in non-cube calculation views are not SQL-exposed.

Apruning configuration tableis used to define conditions for pruningdata sources in unionswithin a calculation view. Pruning removes unnecessary sources from the query execution, optimizing performance by reducing data processed.

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)

In SAP HANA, orphan nodes in a hierarchy are nodes that do not have a parent. To handle orphan nodes, you have the following options:

C. Assign them to an existing node at the root level.

This approach involves assigning orphan nodes to an existing node at the root level, effectively integrating them into the hierarchy.

D. Define them as additional root nodes.

This method treats orphan nodes as separate root nodes, allowing them to exist independently at the top level of the hierarchy.

These options enable you to manage orphan nodes by either integrating them into the existing hierarchy structure or allowing them to exist as independent root nodes, depending on your specific requirements.

?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.

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