Git is used in calculation view modeling to:

C. Manage versions of source files: It provides version control, enabling tracking and rollback of changes in calculation views and other project artifacts.

While collaboration (D) and build automation (B) are benefits of Git in general, the primary purpose in this context is version management. Displaying dependencies (A) is unrelated to Git.

When creating a calculation view that accesses a table in an external schema:

A. Synonym: Synonyms act as aliases to access external schema objects. They are required to integrate external tables into the calculation view.

D. Authorization: You need appropriate schema authorizations to access the external table through the synonym.

A remote source (B) is used for accessing remote systems, and an SQL view (C) is not necessary for this scenario.

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 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.

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.

f you rename the design-time file of the dimension calculation view without renaming the runtime view and adjusting the reference:

Building the dimension view as a single object (A) is successful:This operation affects only the renamed file and does not impact other dependent objects.

Building the entire SAP HANA database module (B) is also successful:The module rebuild adjusts references at the runtime level for all objects, ensuring consistency.

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.

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.

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.

EnablingDebug Query modein a calculation view allows you to:

Identify data sources that are not accessed by a query: This helps in debugging and optimizing the calculation view by showing which nodes or sources are unnecessary for a specific query.

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.

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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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.

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)

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.

If static cache results are not being used, one possible reason is the absence of a defined filter in the cache settings. Filters ensure that specific data subsets are preloaded into the cache, and without them, the cache may not align with the query requirements.

TheOPTIMIZED linked databasefeature improves access to remote objects:

A. The metadata of remote tables is cached on the target system: This reduces the overhead of fetching metadata repeatedly.

C. The source and target system must be SAP HANA: This feature is designed specifically for SAP HANA systems for seamless integration.

Hidden virtual tables (B) are not automatically created, and explicit database names (D) are not required.

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.