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C-BW4H-2404 Official Practice Test - New C-BW4H-2404 Test Tutorial
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SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q38-Q43):
NEW QUESTION # 38
For which reasons should you run an SAP HANA delta merge? Note: There are 2 correct answers to this question.
- A. To combine the query cache from different executions
- B. To decrease memory consumption
- C. To improve the read performance of InfoProviders
- D. To move the most recent data from disk to memory
Answer: B,C
Explanation:
In SAP HANA, thedelta mergeoperation is a critical process for managing data storage and optimizing query performance. It is particularly relevant in columnar storage systems like SAP HANA, where data is stored in two parts: themain storage(optimized for read operations) and thedelta storage(optimized for write operations). The delta merge operation moves data from the delta storage to the main storage, ensuring efficient data management and improved query performance.
* To Decrease Memory Consumption (A):The delta storage holds recent changes (inserts, updates, deletes) in a row-based format, which is less memory-efficient compared to the columnar format used in the main storage. Over time, as more data accumulates in the delta storage, it can lead to increased memory usage. Running a delta merge moves this data into the main storage, which is compressed and optimized for columnar storage, thereby reducing overall memory consumption.
* To Improve the Read Performance of InfoProviders (D):Queries executed on SAP HANA tables or InfoProviders (such as ADSOs, CompositeProviders, or BW queries) benefit significantly from data being stored in the main storage. The main storage is optimized for read operations due to its columnar structure and compression techniques. When data resides in the delta storage, queries must access both the delta and main storage, which can degrade performance. By running a delta merge, all data is consolidated into the main storage, improving read performance for reporting and analytics.
Why Run an SAP HANA Delta Merge?
* To Combine the Query Cache from Different Executions (B):This is incorrect because the delta merge operation does not involve the query cache. The query cache in SAP HANA is a separate mechanism that stores results of previously executed queries to speed up subsequent executions. The delta merge focuses solely on moving data between delta and main storage and does not interact with the query cache.
* To Move the Most Recent Data from Disk to Memory (C):This is incorrect because SAP HANA's in- memory architecture ensures that all data, including the most recent data, is already stored in memory.
The delta merge operation does not move data from disk to memory; instead, it reorganizes data within memory (from delta to main storage). Disk storage in SAP HANA is typically used for persistence and backup purposes, not for active query processing.
Incorrect Options:
SAP Data Engineer - Data Fabric Context:In the context ofSAP Data Engineer - Data Fabric, understanding the delta merge process is essential for optimizing data models and ensuring high-performance analytics. SAP HANA is often used as the underlying database for SAP BW/4HANA and other data fabric solutions. Efficient data management practices, such as scheduling delta merges, contribute to seamless data integration and transformation across the data fabric landscape.
For further details, you can refer to the following resources:
* SAP HANA Administration Guide: Explains the delta merge process and its impact on system performance.
* SAP BW/4HANA Documentation: Discusses how delta merges affect InfoProvider performance in BW queries.
* SAP Learning Hub: Provides training materials on SAP HANA database administration and optimization techniques.
By selectingA (To decrease memory consumption)andD (To improve the read performance of InfoProviders), you ensure that your SAP HANA system operates efficiently, with reduced memory usage and faster query execution.
NEW QUESTION # 39
Which entity can be used as a source of an Analytic Model?
- A. Tables of semantic type Hierarchy
- B. Remote tables of semantic type Text
- C. Views of semantic type Fact
- D. Business entities of semantic type Dimension
Answer: C
Explanation:
* Analytic Models require fact views as sources because they aggregate and calculate data for analytical purposes. Fact views provide the necessary measures and key figures for analysis.
References:SAP Datasphere Analytic Model documentation (SAP Help Portal).
NEW QUESTION # 40
You want to run a BW query, but you only have partial authorization for the data selection. What happens related to the BW query in this scenario?
- A. The BW query does not start running
- B. The BW query starts and the unautohorized values are
- C. The BW query starts and only the authorized data is displayed
- D. The BW query starts and shows an error message
Answer: D
NEW QUESTION # 41
Where can you use an authorization variable? Note: There are 2 correct answers to this question.
- A. In the definition of a characteristic value variable
- B. In the definition of a query filter
- C. In the definition of a restricted key figure
- D. In the definition of a calculated key figure
Answer: A,B
Explanation:
A. Query filter definition:
* Authorization variables can be used to restrict query results dynamically based on user authorizations.
B. Characteristic value variable definition:
* These variables leverage authorizations to restrict the input values for characteristics dynamically during query execution.
References:SAP BW/4HANA Query Design Guide (SAP Help Portal).
NEW QUESTION # 42
You use InfoObject B as a display attribute for InfoObject A.
Which object properties prevent you from changing InfoObject B into a navigational attribute for InfoObject A? Note: There are 3 correct nswers to this question."
- A. Data Type "Character String" is set in InfoObject A
- B. High Cardinality is set in InfoObject B
- C. Attribute Only is set in InfoObject B
- D. InfoObject B is defined as a Key Figure.
- E. Conversion Routine "ALPHA" is set in InfoObject A
Answer: B,C,E
Explanation:
* A. High Cardinality is set in InfoObject B: This is an object property that prevents you from changing InfoObject B into a navigational attribute for InfoObject A.
A characteristic with high cardinality cannot be used as a navigation attribute for another characteristic, and therefore it cannot have navigation attributes itself12.
* B. Attribute Only is set in InfoObject B: This is an object property that prevents you from changing InfoObject B into a navigational attribute for InfoObject A.
A characteristic that is marked as an exclusive attribute can only be used as a display attribute for another characteristic, but not as a navigational attribute. In addition, the characteristic cannot be transferred into InfoCubes34.
* D. Conversion Routine "ALPHA" is set in InfoObject A: This is an object property that prevents you from changing InfoObject B into a navigational attribute for InfoObject A.
A characteristic that has a conversion routine cannot have navigational attributes, because the conversion routine would have to be applied to the navigational attributes as well, which is not possible5 .
Reference:
* 1 https://help.sap.com/docs/SAP_BW4HANA/107a6e8a38b74ede94c833ca3b7b6f51/f851415842154e59a5f038e458b97a0b.html
* 2 https://help.sap.com/doc/saphelp_nw75/7.5.5/en-US/f8/51415842154e59a5f038e458b97a0b/content.htm
* 3 https://help.sap.com/doc/saphelp_scm700_ehp02/7.0.2/en-US/63/f3c416bcbf4730bb86e62ef8a54e17/content.htm
* 4 https://answers.sap.com/questions/1149854/difference-display-attribute-and-navigational-attr.html
* 5 https://help.sap.com/doc/saphelp_nw75/7.5.5/en-US/42/f93a83ae5546d3a7cfd7ff09e25a2b/content.htm
* https://answers.sap.com/questions/10121838/infoobjects-attributes.html
NEW QUESTION # 43
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