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【General】 Reliable C_BW4H_2505 Test Sims - C_BW4H_2505 Valid Study Materials

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SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q74-Q79):NEW QUESTION # 74
What are valid options when using the Data Flow feature of SAP Datasphere? Note: There are 3 correct answers to this question.
  • A. Target mode can be Append Truncate or Delete.
  • B. Remote tables can be used as target objects.
  • C. Data can be combined using Union or Join operators.
  • D. Python language can be used for complex transformation.
  • E. NumPy Pas are automatically converted to SQL script.
Answer: A,C,D
Explanation:
TheData Flowfeature inSAP Datasphere(formerly known as SAP Data Warehouse Cloud) is a powerful tool for designing and executing ETL (Extract, Transform, Load) processes. It allows users to create data pipelines that integrate, transform, and load data into target objects. Below is an explanation of the valid options:
* Explanation: This statement is incorrect. While SAP Datasphere supports advanced transformations using Python, it does not automatically convert libraries likeNumPyinto SQL scripts. Instead, Python scripts are executed as part of the transformation logic, and SQL is used for database operations.
* SAP Datasphere documentation highlights that Python is supported for custom transformations, but there is no mention of automatic conversion of Python libraries like NumPy into SQL.
2. Python language can be used for complex transformationExplanation: This statement is correct. SAP Datasphere allows users to write custom transformation logic usingPython. This is particularly useful for implementing complex business rules or calculations that cannot be achieved using standard SQL or graphical operators.
Reference: TheData Flowfeature includes aPython operator, which enables users to embed Python code for advanced transformations. This capability is documented in SAP Datasphere's transformation guides.
3. Data can be combined using Union or Join operatorsExplanation: This statement is correct. SAP Datasphere providesUnionandJoinoperators as part of its graphical data flow design. These operators allow users to combine data from multiple sources based on specific conditions or by appending rows.
Reference: TheUnionoperator merges datasets vertically (row-wise), while theJoinoperator combines datasets horizontally (column-wise). Both are essential features of the Data Flow functionality, as described in SAP Datasphere's user guides.
4. Remote tables can be used as target objectsExplanation: This statement is incorrect. In SAP Datasphere, remote tables can only be used assource objectsin a data flow. They cannot serve astarget objectsbecause the data must be loaded into a local table within the SAP Datasphere environment.
Reference: SAP Datasphere's architecture separates remote tables (external systems) from local tables (internal storage). Only local tables can act as targets in a data flow.
5. Target mode can be Append, Truncate, or DeleteExplanation: This statement is correct. When loading data into a target table in SAP Datasphere, users can specify theload mode:
Append: Adds new records to the existing data.
Truncate: Deletes all existing data before loading new records.
Delete: Removes specific records based on conditions before loading new data.
Reference: The ability to configure these load modes is a standard feature of SAP Datasphere's Data Flow functionality, as outlined in its data loading documentation.
ConclusionThe valid options for the Data Flow feature in SAP Datasphere are:
Using Python for complex transformations.
Combining data using Union or Join operators.
Configuring target modes such as Append, Truncate, or Delete.
These capabilities make SAP Datasphere a versatile tool for integrating and transforming data from diverse sources.

NEW QUESTION # 75
Why do you set the Read Access Type to "SAP HANA View" in an SAP BW/4HANA InfoObject?
  • A. To generate an SAP HANA calculation view data category Dimension
  • B. To use the InfoObject as an association within an Open ODS view
  • C. To enable parallel loading of master data texts
  • D. To report master data attributes which are defined in calculation views
Answer: A
Explanation:
When the Read Access Type is set to "SAP HANA View" for an InfoObject in SAP BW/4HANA:
* SAP HANA Calculation View Generation:
* This setting enables the generation of an SAP HANA calculation view of the data category Dimensionfor the InfoObject.
* The view allows seamless integration and use of the InfoObject in other HANA-native modeling scenarios.
* Purpose:
* To enhance data access and leverage SAP HANA's performance for analytics and modeling.
References:
SAP BW/4HANA InfoObject Configuration Documentation
SAP HANA Modeling Guide

NEW QUESTION # 76
What foundation is necessary to use SAP S/4HANA embedded analytics?
  • A. SAP Agile Data Preparation
  • B. ABAP CDS view based virtual data model
  • C. SAP HANA optimized business content
  • D. Generated external SAP HANA Calculation Views
Answer: B

NEW QUESTION # 77
In a DataStore object (advanced) of type Data Mart, which request-based deletion is possible?
  • A. Any request in the active data table
  • B. Only the most recent not activated request in the inbound table
  • C. Only the most recent request in the active data table
  • D. Any not activated request in the inbound table
Answer: B,D

NEW QUESTION # 78
For InfoObject "ADDRESS" the High Cardinality flag has been set. However "ADDRESS" has an attribute
"CITY" without the High Cardinality flag. What is the effect on SID values in this scenario?
  • A. SID values are not stored for InfoObject "ADDRESS".
  • B. SID values are generated when data for InfoObject "ADDRESS" is loaded.
  • C. SID values are generated when InfoObject "CITY" is activated.
  • D. SID values are generated when InfoObject "ADDRESS" is activated.
Answer: B
Explanation:
In SAP BW (Business Warehouse), the concept ofHigh Cardinalityplays a crucial role in determining how data is stored and managed for InfoObjects. Let's break down the scenario described in the question and analyze the effects on SID (Surrogate ID) values:
* InfoObject: An InfoObject is a basic building block in SAP BW, representing a business entity like
"ADDRESS" or "CITY".
* High Cardinality Flag: When this flag is set for an InfoObject, it indicates that the InfoObject has a very large number of distinct values (high cardinality). This affects how SIDs are generated and managed.
* SID (Surrogate ID): A unique identifier assigned to each distinct value of an InfoObject. SIDs are used to optimize query performance and reduce storage requirements.
* InfoObject "ADDRESS": The High Cardinality flag is set for this InfoObject. This means that the system expects a large number of distinct values for "ADDRESS". As a result, SID generation for
"ADDRESS" is deferred until actual data is loaded into the system. This approach avoids unnecessary overhead during activation and ensures efficient storage.
* Attribute "CITY": This attribute does not have the High Cardinality flag set. Therefore, SIDs for
"CITY" will be generated when the InfoObject is activated, as is typical for standard InfoObjects without high cardinality.
* ForInfoObject "ADDRESS", since the High Cardinality flag is set,SID values are NOT generated during activation. Instead, they are generated dynamicallywhen data for "ADDRESS" is loadedinto the system. This behavior aligns with the design principle of high cardinality objects to defer SID generation until runtime.
* Forattribute "CITY", SID values are generated during activation because it does not have the High Cardinality flag set.
Key Concepts:Scenario Analysis:Effects on SID Values:Why Option D is Correct:The correct answer isD.
SID values are generated when data for InfoObject "ADDRESS" is loaded. This is consistent with the behavior of high cardinality InfoObjects in SAP BW. SID generation is deferred until data loading to optimize performance and storage.
References:SAP BW Documentation on High Cardinality: SAP BW systems use the High Cardinality flag to manage large datasets efficiently. For high cardinality objects, SIDs are generated at runtime during data loading rather than during activation.
SAP Note on SID Generation: SAP notes related to SID generation (e.g., Note 2008578) explain the behavior of high cardinality objects and their impact on SID management.
SAP Data Fabric Best Practices: In scenarios involving high cardinality, deferring SID generation until data loading is recommended to ensure optimal performance and resource utilization.
By understanding the implications of the High Cardinality flag and its interaction with attributes, we can confidently conclude that SID values for "ADDRESS" are generated only when data is loaded.

NEW QUESTION # 79
......
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