C_HAMOD_2404 SAP Certified Associate - Data Engineer - SAP HANA Free Practice Exam Questions (2025 Updated)

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.

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.

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.

To assign a user-provided service to your database module in an XS Advanced project, you configure it in the.yamlfile. This file is used to define the bindings between the project modules and the required services, such as user-provided services for accessing external schemas.

When aCUBE calculation viewdesign-time file is built or deployed, the following are generated:

A. Metadata to enable consumption by external tools: The metadata ensures that external tools (such as reporting or analytics tools) can query the view.

B. A column view in a container: A runtime object in the form of a column view is created in the database schema/container to execute the calculation view logic during queries.

SQL execution plans (C) are generated dynamically at query time, and cached results (D) are not part of the build process.

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.

Aleft outer join nodebetween table A and table B is used to identify products that appear only in table A. The left outer join retrieves all records from table A and matches them with table B, including records that have no corresponding match in table B. By filtering out the rows where table B columns are not null, you effectively isolate products exclusive to table A.

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.

Table partitioning in SAP HANA is used to enhance performance and scalability. The main reasons are:

B. To overcome the 2 billion record limit: Partitioning allows the table to handle more than the 2 billion records that are the limit for non-partitioned tables.

D. To improve query performance when accessing large column tables: Partitioning splits the table into manageable parts, allowing parallel processing and improving query performance for large datasets.

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 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 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.

Table functions in SAP HANA are used for read-only operations and cannot includeDML (Data Manipulation Language)statements such asDELETE,INSERT, orUPDATE.

C. Your table function includes a DELETE statement: This is the reason for the deployment failure, as DML operations are not allowed in table functions.

Input parameters (A), table types (B), and references to scalar functions (D) do not cause deployment issues unless they are incorrectly defined, which is not the case here.

TheTransparent Filterproperty is used in SAP HANA to allow filter push-down in stacked calculation views. This ensures that filters applied to one layer of the view are propagated to underlying views, enhancing performance by reducing the volume of data processed at higher levels.(Reference: SAP HANA Transparent Filter Guide)

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.

To create a star schema using a calculation view with measures based on columns from two transaction tables:

Combine the transaction tables using a join node in a CUBE calculation view:The join node merges the transaction tables into a unified fact table.

Use a star join node to join the DIMENSIONS to the resulting fact table:The star join node integrates the attributes from the DIMENSION views with the measures in the fact table, completing the star schema design.

This approach adheres to best practices for building efficient star schemas in SAP HANA.(Reference: SAP HANA Star Schema Modeling Guide)

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.

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.