C_HAMOD_2404 by SAP Actual Free Exam Questions And Answers [UPDATED 2025]
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SAP C_HAMOD_2404 Exam Syllabus Topics:
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NEW QUESTION # 21
Why would you partition a table in an SAP HANA database? Note: There are 2 correct answers to this question.
- A. To improve data replication performance on large row tables
- B. To improve query performance when accessing large column tables
- C. To overcome the 2 billion record limit
- D. To improve response time when multiple users access the same table
Answer: B,C
Explanation:
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.
NEW QUESTION # 22
Which of the following are characteristics of the OPTIMIZED linked database feature? Note: There are 2 correct answers to this question.
- A. The source and target system must be SAP HANA
- B. The metadata of remote tables is cached on the target system
- C. A database name is used in an SQL statement to identify the remote object
- D. Hidden virtual tables are automatically created on the target system
Answer: A,B
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 # 23
How can you define a variable that presents its value help hierarchically? Note: There are 2 correct answers to this question.
- A. Create a parent-child hierarchy and assign it to the variable.
*Ensure the variable's reference column is the parent attribute of the hierarchy. - B. Create a parent-child hierarchy and assign it to the variable.
*Ensure the variable's reference column is the child attribute of the hierarchy. - C. Create a level hierarchy and assign it to the variable.
*Ensure the variable's reference column is the leaf level of the hierarchy. - D. Create a level hierarchy and assign it to the variable.
*Ensure the variable's reference column is the top level of the hierarchy.
Answer: B,C
NEW QUESTION # 24
What are some best practices for writing SQLScript for use with calculation views? Note: There are 2 correct answers to this question.
- A. Control the flow logic using IF-THEN-ELSE conditions.
- B. Break up large statements by using variables.
- C. Choose declarative language instead of imperative language.
- D. Use dynamic SQL.
Answer: B,C
NEW QUESTION # 25
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. Pre-calculated aggregates
- B. Table partitions
- C. Stored procedures
- D. Indexes
Answer: A,C
NEW QUESTION # 26
You have products that appear in table A and sometimes also in table B. What would you use to find products only appearing in table A?
- A. A minus node between table A and table B
- B. An intersect node between table A and table B
- C. A left outer join node between table A and table B
- D. A right outer join node between table A and table B
Answer: C
Explanation:
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.
NEW QUESTION # 27
You want to ensure that your calculation view does not give unexpected results for a query that is based on any combination of columns.What is the recommended approach for verifying the results?
- A. Write and execute a custom SQL query in the SQL Console.
- B. Select Data Preview for the calculation view.
- C. Select and deselect columns from the output mapping.
- D. Set the HIDE property for columns NOT required.
Answer: A,B
NEW QUESTION # 28
You created a table and inserted data in it using SQL statements inside the SAP HANA Deployment Infrastructure (HDI) container of your project. You add this table as a data source to a calculation view and try to deploy it.What do you observe in the SAP HANA database container?
- A. The deployment is successful and the data preview returns expected data.
- B. The deployment is successful but the data preview returns an error message.
- C. The deployment fails and the table is not dropped.
- D. The deployment fails and the table is dropped.
Answer: C
NEW QUESTION # 29
You have imported a new calculation view into a folder that contains an .hdinamespace file. This calculation view consumes one data source, which is a table. When trying to build the calculation view, the build fails with a namespace-related issue.What could be the reason? Note: There are 2 correct answers to this question.
- A. The .hdinamespace specifies "sub-folder":"append", so calculation views can only be created in subfolders.
- B. The imported calculation view and its data source have different namespaces.
- C. The namespace used within the calculation view to reference the table is different from the actual namespace in the identifier of this table.
- D. An .hdinamespace file is defined in the src folder that specifies a different namespace property than the one in the identifier of the calculation view.
Answer: B,C
Explanation:
A build failure with a namespace-related issue often occurs because:
* B. The imported calculation view and its data source have different namespaces: Both must match for the view to reference the table correctly.
* C. The namespace used in the calculation view to reference the table is different from the actual namespace in the table's identifier: The reference must exactly match the namespace in the table definition.
The issue is unrelated to sub-folder rules (A) or differing.hdinamespacefiles (D).
NEW QUESTION # 30
Why might you use the Keep Flag property in an aggregation node?
- A. To retain the correct aggregation behavior in stacked views
- B. To include columns that are NOT requested by a query but are essential for the correct result
- C. To exclude columns that are NOT requested by a query to avoid incorrect results
- D. To ensure that the aggregation behavior defined in the aggregation node for a measure CANNOT be overridden by a query
Answer: B
Explanation:
TheKeep Flagproperty in an aggregation node ensures that columns not directly requested by a query are still included in the calculation process if they are critical for the correctness of the result. For example, these columns may serve as grouping or filter criteria in intermediate processing stages, even if not explicitly displayed in the final query output.
NEW QUESTION # 31
In a flowgraph, which node do you use to select only the required columns from a data source and to filter specific rows?
- A. Pivot
- B. Aggregate
- C. Projection
- D. Case
Answer: B
NEW QUESTION # 32
You have configured static cache for your calculation view and run a query against it, but the cache results are not being used.What might be the reason for this?
- A. The cache data retention period has expired.
- B. You did not define any columns in the cache setting.
- C. The query requests only a subset of the cached results.
- D. You did not define a filter in the cache setting.
Answer: B
NEW QUESTION # 33
Two calculation views, A and B, are defined as shown in the diagram. Three analytic privileges have been granted to you. When you preview calculation view A, what data do you see?
- A. US for P1 and GE for P1
- B. US for P1 and P2, and GE for P2
- C. US for P1 and P2, and GE for P1 and P2
- D. US for P1
Answer: D
Explanation:
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.
NEW QUESTION # 34
A calculation view consumes the data sources shown in the graphic.
You want to identify which companies sold products in January AND February. What is the optimal way to do this?
- A. Use a union node.
- B. Use an aggregation node.
- C. Use a minus node
- D. Use an intersect node.
Answer: D
NEW QUESTION # 35
In a calculated column, which object do you use to process a dynamic value in an expression?
- A. Variable
- B. Input Parameter
- C. Table function
- D. Procedure
Answer: B
NEW QUESTION # 36
You define a hierarchy in a calculation view. You want to expose the hierarchy to SQL. Which of the following conditions must be met? Note: There are 2 correct answers to this question.
- A. The hierarchy must be defined as a local hierarchy.
- B. The hierarchy must be a shared hierarchy.
- C. The hierarchy must be a parent-child hierarchy.
- D. The hierarchy must be exposed by a CUBE calculation view with star join.
Answer: B,D
Explanation:
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.
NEW QUESTION # 37
What are possible consequences of unfolding? Note: There are 2 correct answers to this question.
- A. Results are read from static cache.
- B. Count-distinct results are incorrect.
- C. Query processing time improves.
- D. SQL compilation time increases.
Answer: B,D
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 # 38
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 aggregation always happens after the join execution
- B. To ensure that the join execution only uses the join columns requested in the query
- C. To force the calculation at the relevant level of granularity, even if this level is not the grouping level defined by the query
- D. To allow data analysis at different levels of granularity with the same calculation view
Answer: B,D
NEW QUESTION # 39
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