[Sep-2025] C-HAMOD-2404 PDF Dumps Are Helpful To produce Your Dreams Correct QA's [Q10-Q27]

[Sep-2025] C-HAMOD-2404 PDF Dumps Are Helpful To produce Your Dreams Correct QA's

New C-HAMOD-2404 exam Free Sample Questions to Practice

SAP C-HAMOD-2404 Exam Syllabus Topics:

Topic	Details
Topic 1	Building calculation views: It explains the usage of all types of calculation views and nodes to build a data model.
Topic 2	Working with SQL and SQL Script in models: This topic delves into applying SQL and SQLScript in SAP HANA modeling.
Topic 3	Provisioning Data to SAP HANA: It discusses how to provision data to SAP HANA.
Topic 4	Securing models: The topic discusses the implementation of security features for the prevention of unauthorised access to data models.
Topic 5	Managing and administering models: The topic covers the setup of the modeling environment and the usage of tools for the management of data models.

 

NEW QUESTION # 10
Referring to the diagram, which privileges would a user require to view United States data when querying the CUBE calculation view?

• A. SELECT privileges and Analytic Privileges (Country United States) on both views
• B. A SELECT privilege on the CUBE calculation view and an Analytic Privilege (Country United States) on the DIMENSION calculation view
• C. A SELECT privilege and an Analytic Privilege (Country United States) on the CUBE calculation view
• D. A SELECT privilege and an Analytic Privilege (Country United States) on the DIMENSION calculation view

Answer: B

Explanation:
To view data for the United States when querying aCUBE calculation view, the user must have:
* SELECT privilege on the CUBE calculation view: To execute queries on the view.
* Analytic Privilege (Country United States) on the DIMENSION calculation view: This restricts access based on the country dimension to only "United States" data.
Analytic privileges must be defined appropriately on both views to enforce the required data access.

NEW QUESTION # 11
What are the characteristics of a SHARED replica table? Note: There are 3 correct answers to this question.

• A. The consuming application always references the virtual table
• B. You do not need to create the physical replica table manually
• C. You can toggle queries routing between remote table data and replica table data
• D. The replica table always stores real-time data
• E. You can choose your own replica table name

Answer: B,C,D

Explanation:
The characteristics of aSHARED replica tableinclude:
* B. The replica table always stores real-time data: Ensures synchronization with the source table.
* D. You can toggle queries routing between remote table data and replica table data: Flexibility in query routing allows efficient use of data.
* E. You do not need to create the physical replica table manually: It is automatically created during the replication setup.
Virtual tables (A) are not referenced directly by consuming applications, and replica table naming (C) is typically system-defined.

NEW QUESTION # 12
Why would you choose an HDI-shared service plan instead of a schema service plan?Note: There are 3 correct answers to this question.

• A. You want to develop calculation views.
• B. You want to use SAP Business Application Studio.
• C. You want to use synonyms to access external data.
• D. You want to use containers to isolate objects.
• E. You want to create database objects using source files.

Answer: B,D,E

NEW QUESTION # 13
Which project structure object corresponds to a unique HDI container?

• A. space
• B. project
• C. database module
• D. src folder

Answer: D

NEW QUESTION # 14
Which of the following techniques can you use to improve the performance of calculation views?Note: There are 2 correct answers to this question.

• A. Limit the number of stacked calculation views.
• B. Partition large tables.
• C. Avoid aggregating data early in the data flow.
• D. Implement union pruning.

Answer: A,B

NEW QUESTION # 15
You created a calculation view that combines two tables in a join node. To improve the runtime of your calculation view, you use a referential join to prune data sources.
How do you check if pruning occurs? Note: There are 2 correct answers to this question.

• A. Observe which columns are mapped using the Performance Analysis mode.
• B. Check the SQL query generated by the Data Preview.
• C. Enable the Debug Query mode to identify the source columns used.
• D. Use the SQL Analyzer to identify the tables used.

Answer: A,C

NEW QUESTION # 16
What are possible consequences of unfolding? Note: There are 2 correct answers to this question.

• A. SQL compilation time increases.
• B. Query processing time improves.
• C. Count-distinct results are incorrect.
• D. Results are read from static cache.

Answer: A,C

Explanation:
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.

NEW QUESTION # 17
What can you do with shared hierarchies? Note:There are 2 correct answers to this question.

• A. Enable SQL SELECT statements to access hierarchies
• B. Access hierarchies created in external schemas
• C. Provide reusable hierarchies for drilldown in a CUBE with star join
• D. Provide reusable hierarchies for drilldown in a CUBE without star join

Answer: A,D

NEW QUESTION # 18
Which of the following are characteristics of the OPTIMIZED linked database feature? Note: There are 2 correct answers to this question.

• A. A database name is used in an SQL statement to identify the remote object
• B. The metadata of remote tables is cached on the target system
• C. Hidden virtual tables are automatically created on the target system
• D. The source and target system must be SAP HANA

Answer: B,D

Explanation:
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.

NEW QUESTION # 19
You combine two tables in a join node using multiple columns in each table.
Why do you enable the dynamic join option? Note: There are 2 correct answers to this question.

• A. To ensure that the join execution uses only the join columns requested in the query
• B. To ensure that the aggregation always happens after the join execution
• C. To allow data analysis at different levels of granularity with the same calculation view
• D. To force the calculation at the relevant level of granularity, even if this level is not the grouping level defined by the query

Answer: A,C

NEW QUESTION # 20
What are the limitations of using a full outer join in a star join node? Note: There are 2 correct answers to this question.

• A. It CANNOT be mixed in the same star join node with other join types.
• B. It is restricted to one DIMENSION in a star join node.
• C. It must appear in the last DIMENSION in the star join node.
• D. Only one column can be included in the join condition.

Answer: B,C

Explanation:
The limitations of using a full outer join in a star join node include:
* It must appear in the last DIMENSION in the star join node (C):Full outer joins can only be implemented on the last dimension table in the star join node due to the complex nature of the resulting data set. This restriction ensures data integrity and predictable query results.
* It is restricted to one DIMENSION in a star join node (D):Full outer joins cannot be used across multiple dimensions in a single star join node, limiting their scope to a specific table-to-table relationship within the star join design.

NEW QUESTION # 21
Which database features are typically NOT required by analytical applications that run on SAP HANA Cloud?Note: There are 2 correct answers to this question.

• A. Stored procedures
• B. Table partitions
• C. Pre-calculated aggregates
• D. Indexes

Answer: A,C

NEW QUESTION # 22
In a calculation view, why would you implement an SQL expression? Note: There are 3 correct answers to this question.

• A. To convert currencies
• B. To define a filter
• C. To generate a restricted column
• D. To generate hierarchies
• E. To generate a calculated column

Answer: B,C,E

Explanation:
SQL expressions in a calculation view are used for dynamic data transformations and filtering. They can:
* A. Generate a restricted column: Apply conditions to create columns with restricted values.
* B. Define a filter: Apply SQL conditions to filter data dynamically.
* C. Generate a calculated column: Derive new column values using calculations or expressions.
SQL expressions are not typically used for creating hierarchies (D) or currency conversion (E); these are handled by specific features or nodes in SAP HANA calculation views.

NEW QUESTION # 23
What options do you have to handle orphan nodes in your hierarchy?Note: There are 2 correct answers to this question.

• A. Generate additional root nodes.
• B. Assign them to a node at the root level.
• C. Assign them to a level below the root.
• D. Define an expression to determine a parent.

Answer: A,C

NEW QUESTION # 24
What are some best practices when developing calculation views? Note: There are 2 correct answers to this question.

• A. Include all data flow logic within one calculation view.
• B. Define filters on calculated columns.
• C. Aggregate at the lowest possible node.
• D. Avoid defining joins on calculated columns.

Answer: A,D

NEW QUESTION # 25
You want to create a star schema using a calculation view. The measures are based on columns from two transaction tables. DIMENSION calculation views provide the attributes.What is the correct approach?

• A. Combine the transaction tables using a star join node in a calculation view of type CUBE with star join.Use the same star join node to connect the DIMENSIONS to the fact table.
• B. Combine the transaction tables using a join node in a calculation view of type CUBE with star join.Use a star join node to join the DIMENSIONS to the fact table.
• C. Combine the transaction tables using a star join node in a calculation view of type CUBE with star join./Use a join node to join the DIMENSIONS to the fact table.
• D. Combine the transaction tables using an aggregation node in a calculation view of type CUBE with star join./Use a star join node to join the DIMENSIONS to the fact table.

Answer: B

NEW QUESTION # 26
You set the Null Handling property for an attribute but do not set a default value. What is displayed when null values are found in a column of data type NVARCHAR?

• A. "Null"
• B. "#"
• C. <empty string>
• D. "2"

Answer: C

Explanation:
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.

NEW QUESTION # 27
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