SAP C_HAMOD_2404 SAP Certified Associate - Data Engineer - SAP HANA Exam Practice Test

If the account number is not masked in calculation view A, it indicates that masking was not defined in calculation view A. Masking rules must be explicitly defined at every level where data is exposed, as they are not inherited from underlying views.

Acalculation view query snapshotis arecord of the query statement executedon a calculation view. It captures the SQL query or execution details for analysis or troubleshooting purposes.

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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)

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.

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.

For a calculation view of typeCUBE, the default top view node is theAggregationnode. This node summarizes data based on specified grouping and performs aggregations, making it suitable for analytical purposes and star schemas.

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.

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.

A variable in a calculation view is used tofilter an attribute at runtime based on user input. Variables allow for dynamic selection of data subsets based on specific criteria, which enhances flexibility in querying and data analysis.

A calculation view of data categoryDIMENSIONwith typeTIMEprovides time-related navigation possibilities, such as exploring data by year, month, week, or day. This is essential for enabling time-based reporting and analysis.

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.

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.

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.

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.

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.

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.

Anon-equi joinis used when the join condition cannot be represented by equality (=). Instead, the condition may involve other operators, such as<,>,BETWEEN, etc. This type of join is essential when relationships between datasets are based on ranges or non-matching values.

The generated input parameter of the interface view allows the user to select whether to run a query on the snapshot table or the original calculation view. This capability provides flexibility, enabling users to choose between querying live data or using static data for consistent results, especially when snapshots are scheduled at specific intervals.

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.

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.

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.