SAP C_BW4H_2505 - SAP Certified Associate - Data Engineer - SAP BW/4HANA

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Total 80 questions

Question # 1

For which reasons should you run an SAP HANA delta merge? Note: There are 2 correct answers to this question.

To decrease memory consumption

To combine the query cache from different executions

To move the most recent data from disk to memory

To improve the read performance of InfoProviders

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.

Question # 2

You have already loaded data from a non-SAP system into SAP Datasphere. You want to federate this data with data from an InfoCube of your SAP BW powered by SAP HANA.

What do you need to use to combine the data?

SAP ABAP Connection

SAP BW Shell Migration

SAP BW Remote Migration

SAP BW/4HANA Model Transfer

Explanation:

To federate data betweenSAP Datasphereand anInfoCubeinSAP BW powered by SAP HANA, you need to establish a connection that allows SAP Datasphere to access the data stored in the InfoCube. Below is an explanation of the options:

Explanation: This is the correct answer. AnSAP ABAP Connectionallows SAP Datasphere to connect to an SAP BW system and access its data objects, including InfoCubes. This connection leverages theABAP stackto enable seamless integration between SAP Datasphere and SAP BW.

[: SAP Datasphere supportsSAP BW connectionsvia the ABAP stack, enabling federated queries and data access. This is documented in SAP's integration guides for SAP Datasphere and SAP BW., , 2. SAP BW Shell MigrationExplanation: This option is incorrect.SAP BW Shell Migrationrefers to the process of migrating SAP BW objects (e.g., InfoCubes, DataStore Objects) to SAP BW/4HANA. It is not related to federating data between SAP Datasphere and SAP BW., Reference: Shell migration is a one-time activity focused on upgrading SAP BW systems to SAP BW/4HANA, as described in SAP's migration documentation., , 3. SAP BW Remote MigrationExplanation: This option is incorrect.SAP BW Remote Migrationinvolves moving data and objects from a remote SAP BW system to SAP BW/4HANA. Like Shell Migration, it is not relevant to federating data with SAP Datasphere., Reference: Remote migration is part of SAP's BW/4HANA transition strategy and does not address real-time data federation., , 4. SAP BW/4HANA Model TransferExplanation: This option is incorrect.SAP BW/4HANA Model Transferrefers to transferring BW models (e.g., InfoCubes, DataSources) to SAP BW/4HANA. It is unrelated to federating data between SAP Datasphere and SAP BW., Reference: Model transfer is a migration activity, not a mechanism for real-time data integration or federation., , ConclusionTo federate data from an InfoCube in SAP BW powered by SAP HANA with SAP Datasphere, you need to use anSAP ABAP Connection. This connection enables SAP Datasphere to access and query data from the InfoCube in real time, facilitating seamless integration between the two systems., ]

Question # 3

Which SAP solutions can leverage the Write Interface for DataStore objects (advanced) to push data into the inbound table of DataStore objects (advanced)? Note: There are 2 correct answers to this question.

SAP Process Integration

SAP Lscape Transformation Replication Server

SAP Data Services

SAP Datasphere

Explanation:

TheWrite Interface for DataStore objects (advanced)in SAP BW/4HANA enables external systems to push data directly into theinbound tableof a DataStore object (DSO). This interface is particularly useful for integrating data from various SAP solutions and third-party systems. Below is an explanation of the correct answers and why they are valid.

A. SAP Process Integration

SAP Process Integration (PI), now known asSAP Cloud Integration (CI), is a middleware solution that facilitates seamless integration between different systems. It can leverage the Write Interface to push data into the inbound table of a DataStore object (advanced).

SAP PI/CI supports various protocols and formats (e.g., IDoc, SOAP, REST) to transfer data, making it a versatile tool for integrating SAP BW/4HANA with other systems.

[: SAP PI/CI is widely used in enterprise landscapes to connect SAP BW/4HANA with external systems, including pushing data via the Write Interface., D. SAP Datasphere, SAP Datasphere(formerly known as SAP Data Warehouse Cloud) is a cloud-based data management solution that integrates seamlessly with SAP BW/4HANA. It can use the Write Interface to push data into the inbound table of a DataStore object (advanced)., SAP Datasphere is designed for hybrid and cloud-first architectures, enabling organizations to consolidate and harmonize data across on-premise and cloud environments., Reference: SAP Datasphere leverages the Write Interface to enable real-time or near-real-time data integration with SAP BW/4HANA, supporting modern data warehousing requirements., , Incorrect Options:B. SAP Lscape Transformation Replication Server, SAP Landscape Transformation Replication Server (SLT)is primarily used for real-time replication of data from SAP ERP systems to SAP HANA or other target systems. While SLT is a powerful tool for data replication, it does not directly use the Write Interface for DataStore objects (advanced)., Instead, SLT replicates data at the database level, bypassing the need for the Write Interface., Reference: SLT operates independently of the Write Interface and is not listed as a supported solution for pushing data into DSOs., C. SAP Data Services, SAP Data Servicesis an ETL (Extract, Transform, Load) tool used for data integration and transformation. While it can load data into SAP BW/4HANA, it does not use the Write Interface for DataStore objects (advanced)., Instead, SAP Data Services typically loads data into staging areas or directly into target objects using standard ETL processes., Reference: SAP Data Services is not designed to interact with the Write Interface, as it relies on its own mechanisms for data loading., , Conclusion:The correct answers areA. SAP Process IntegrationandD. SAP Datasphere, as these solutions are explicitly designed to leverage the Write Interface for DataStore objects (advanced) in SAP BW/4HANA. They enable seamless integration and data transfer between external systems and SAP BW/4HANA., ]

Question # 4

InfoObject "CITY" is defined as a display attribute for InfoObject "CUSTOMER" InfoObject "COUNTRY" is defined as a display attribute for InfoObject "CITY".In a master data report you want to display the "COUNTRY" of a "CUSTOMER".

Which options do you have to realize this scenario? Note: There are 3 correct answers to this question.

Include "CUSTOMER" to the rows in the BW Query on "CUSTOMER" activate the Universal Display Hierarchy setting.

Generate external views for "CUSTOMER" "CITY" "COUNTRY" join them in another calculation view.

Combine "CUSTOMER" "CITY" "COUNTRY" in a Composite Provider using a sequence of left outer join operators.

Add "COUNTRY" as a transitive attribute for "CUSTOMER" in InfoObject definition.

Combine "CUSTOMER" "CITY" "COUNTRY" in an Open ODS View using a sequence of associations.

Explanation:

To display the "COUNTRY" of a "CUSTOMER" in a master data report, you need to establish a relationship between these InfoObjects. Below is an explanation of the correct answers:

B. Generate external views for "CUSTOMER", "CITY", "COUNTRY" join them in another calculation viewThis approach leverages SAP HANA's native capabilities to model data relationships. By generating external views for each InfoObject ("CUSTOMER", "CITY", "COUNTRY"), you can create a calculation view that joins these views based on their relationships. This method is particularly useful for real-time reporting and ensures optimal performance by utilizing SAP HANA's in-memory processing.

[: The SAP BW/4HANA Modeling Guide highlights the ability to generate external HANA views for InfoObjects and combine them in calculation views for advanced reporting scenarios., , C. Combine "CUSTOMER", "CITY", "COUNTRY" in a Composite Provider using a sequence of left outer join operatorsAComposite Providercan be used to combine data from multiple InfoObjects or InfoProviders. By defining a sequence ofleft outer joins, you can link "CUSTOMER" to "CITY" and "CITY" to "COUNTRY". This approach is suitable for scenarios where the data resides in different InfoProviders or when you need to create a unified view for reporting., Reference: The SAP BW/4HANA Query Design Guide explains how Composite Providers can use join operators to combine data from multiple sources, enabling complex reporting scenarios., , D. Add "COUNTRY" as a transitive attribute for "CUSTOMER" in InfoObject definitionAtransitive attributeallows you to define indirect relationships between InfoObjects. By adding "COUNTRY" as a transitive attribute of "CUSTOMER", you can directly access "COUNTRY" in reports without explicitly modeling the intermediate relationship with "CITY". This simplifies the reporting process and ensures that the relationship is maintained automatically., Reference: The SAP BW/4HANA InfoObject Modeling Guide describes the concept of transitive attributes and their role in simplifying master data reporting., , Incorrect OptionsA. Include "CUSTOMER" to the rows in the BW Query on "CUSTOMER" activate the Universal Display Hierarchy settingTheUniversal Display Hierarchysetting is used to display hierarchical relationships in a query. However, it does not address the requirement to display "COUNTRY" as an attribute of "CUSTOMER". This option is irrelevant to the scenario., Reference: The SAP BW/4HANA Query Design Guide confirms that Universal Display Hierarchy is specific to hierarchical data and does not apply to attribute relationships., E. Combine "CUSTOMER", "CITY", "COUNTRY" in an Open ODS View using a sequence of associationsWhileOpen ODS Viewssupport associations to model relationships, they are not designed to handle complex attribute relationships like those required in this scenario. Open ODS Views are better suited for real-time reporting on raw data rather than master data attributes., Reference: The SAP BW/4HANA Modeling Guide states that Open ODS Views are limited in their ability to model complex attribute relationships., , ConclusionThe three correct options to realize the scenario of displaying the "COUNTRY" of a "CUSTOMER" in a master data report are:, Generate external views for "CUSTOMER", "CITY", "COUNTRY" and join them in another calculation view., Combine "CUSTOMER", "CITY", "COUNTRY" in a Composite Provider using a sequence of left outer join operators., Add "COUNTRY" as a transitive attribute for "CUSTOMER" in InfoObject definition., These approaches leverage the flexibility and power of SAP BW/4HANA and SAP HANA to model and report on complex master data relationships., ]

Question # 5

Which source systems are supported in SAP BW bridge? Note: There are 3 correct answers to this question.

SAP Ariba

SAP ECC

SAP Success Factors

SAP S/4HANA on-premise

SAP S/4HANA Cloud

Explanation:

SAP BW bridge is designed to integrate data from various source systems into SAP BW/4HANA or SAP Datasphere. Letâ€™s analyze each option:

Option A: SAP AribaSAP Ariba is a cloud-based procurement solution and is not directly supported as a source system in SAP BW bridge. While SAP Ariba data can be integrated into SAP systems, it typically requires intermediate tools like SAP Integration Suite or APIs for data extraction.

Option B: SAP ECCSAP ECC (ERP Central Component) is fully supported as a source system in SAP BW bridge. SAP BW bridge provides connectors and extractors to extract data from SAP ECC systems, enabling seamless integration into SAP BW/4HANA or SAP Datasphere.

Option C: SAP SuccessFactorsSAP SuccessFactors is a cloud-based human capital management (HCM) solution. It is not natively supported as a source system in SAP BW bridge. Similar to SAP Ariba, integrating data from SAP SuccessFactors typically involves using APIs or middleware solutions.

Option D: SAP S/4HANA on-premiseSAP S/4HANA on-premise is fully supported as a source system in SAP BW bridge. The bridge provides robust connectivity and extraction capabilities to integrate data from on-premise S/4HANA systems into SAP BW/4HANA or SAP Datasphere.

Option E: SAP S/4HANA CloudSAP S/4HANA Cloud is also supported as a source system in SAP BW bridge. The bridge leverages APIs and OData services to extract data from S/4HANA Cloud, ensuring compatibility with cloud-based deployments.

[References:SAP BW Bridge Documentation: Lists the supported source systems and their integration capabilities., SAP Help Portal: Provides detailed information on connecting SAP BW bridge to various source systems., SAP Integration Guides: Highlight best practices for integrating data from SAP ECC and S/4HANA systems., In summary, the supported source systems in SAP BW bridge areSAP ECC,SAP S/4HANA on-premise, andSAP S/4HANA Cloud., , ]

Question # 6

Which objects values can be affected by the key date in a BW query? Note: There are 3 correct answers to this question.

Display attributes

Basic key figures

Time characteristics

Hierarchies

Navigation attributes

Explanation:

In SAP BW (Business Warehouse), the key date is a critical parameter used in queries to determine the validity of data based on time-dependent objects. The key date allows users to retrieve data as it was valid on a specific date, which is particularly important for time-dependent master data and hierarchies. Below is a detailed explanation of how the key date affects different types of objects in a BW query:

Explanation: Display attributes are additional descriptive fields associated with characteristics in SAP BW. These attributes can be time-dependent, meaning their values may change over time. When a key date is specified in a BW query, the system retrieves the value of the display attribute that was valid on that specific date.

[: In SAP BW, display attributes are often derived from master data tables. If the master data is time-dependent (e.g., material descriptions or customer names that change over time), the key date ensures that the correct historical value is displayed in the query result., , 2. Basic Key FiguresExplanation: Basic key figures represent measurable quantities such as sales revenue, quantity sold, or costs. These values are typically stored in fact tables and are not directly affected by the key date. Instead, they are influenced by the time characteristics (e.g., fiscal year, calendar month) used in the query., Why Not Affected: Since basic key figures are numeric measures tied to transactional data, they do not depend on the validity of master data or hierarchies.Therefore, the key date does not impact their values., Reference: SAP BW documentation confirms that key figures are independent of the key date unless explicitly modeled with time-dependent logic., , 3. Time CharacteristicsExplanation: Time characteristics (e.g., fiscal year, calendar month, or posting date) are directly influenced by the key date. The key date determines the time period for which data is retrieved in the query. For example, if the key date is set to "01.01.2023," the query will fetch data relevant to that specific date or period., Reference: Time characteristics are integral to BW queries, and the key date serves as a filter to restrict data retrieval to a specific point in time. This functionality is well-documented in SAP BW query design guides., , 4. HierarchiesExplanation: Hierarchies in SAP BW are often time-dependent, meaning their structure or node assignments may change over time. The key date ensures that the hierarchy version valid on the specified date is used in the query. For example, an organizational hierarchy might change due to restructuring, and the key date determines which version of the hierarchy is applied., Reference: SAP BW supports time-dependent hierarchies, and the key date is a standard mechanism to manage these changes.This is extensively covered in SAP BW hierarchy management documentation., , 5. Navigation AttributesExplanation: Navigation attributes are similar to display attributes but are used for filtering or navigating data in queries. Like display attributes, navigation attributes can be time-dependent. However, the key date does not affect navigation attributes because they are primarily used for query navigation rather than displaying values., Why Not Affected: Navigation attributes are not directly displayed in query results, and their behavior is not influenced by the key date., Reference: SAP BW query modeling guidelines clarify that navigation attributes are not impacted by the key date., , ConclusionThe key date in a BW query affects objects that are time-dependent, such as display attributes, time characteristics, and hierarchies. It ensures that the correct historical values or structures are used in the query results. Basic key figures and navigation attributes are not directly influenced by the key date., By understanding these relationships, SAP Data Engineers can design robust queries that accurately reflect historical data as per business requirements.]

Question # 7

Which features of an SAP BW/4HANA InfoObject are intended to reduce physical data storage space? Note: There are 2 correct answers to this question.

Reference characteristic

Transitive attribute

Compounding characteristic

Enhanced master data update

Explanation:

In SAP BW/4HANA, InfoObjects are fundamental building blocks used to define characteristics (attributes) and key figures in data models. They play a critical role in organizing and managing master data and transactional data. Certain features of InfoObjects are specifically designed to optimize storage and reduce physical data redundancy. Below is a detailed explanation of the correct answers:

Explanation: A reference characteristic allows one characteristic to "reuse" the master data and attributes of another characteristic. Instead of duplicating the master data for the referencing characteristic, it simply points to the referenced characteristic's master data.This significantly reduces physical storage space by avoiding redundancy.

[: In SAP BW/4HANA, reference characteristics are commonly used when multiple characteristics share the same set of values (e.g., "Country" as a reference for "Shipping Country" and "Billing Country"). This feature aligns with SAP Data Engineer - Data Fabric principles of optimizing data storage and minimizing duplication., , Option B: Transitive attributeExplanation: A transitive attribute is an attribute that is derived from another characteristic rather than being stored directly in the master data table of the main characteristic. For example, if "City" has an attribute "Region," and "Region" has an attribute "Country," then "Country" can be defined as a transitive attribute of "City." This avoids storing the "Country" attribute redundantly in the "City" master data table, thereby reducing physical storage requirements., Reference: Transitive attributes are a key feature in SAP BW/4HANA for optimizing master data storage. By leveraging relationships between characteristics, they ensure that only necessary data is stored, adhering to the principles of efficient data management in SAP Data Engineer - Data Fabric., , Option C: Compounding characteristicExplanation: A compounding characteristic is used to create a hierarchical relationship between two characteristics, where one characteristic depends on another (e.g., "Street" compounded with "City"). While compounding helps organize data logically, it does not inherently reduce physical storage space.Instead, it defines how data is structured and queried., Reference: Compounding is primarily a modeling feature and does not contribute to storage optimization.Therefore, this option is incorrect., , Option D: Enhanced master data updateExplanation: The enhanced master data update mechanism improves the process of updating master data by enabling parallel processing and reducing update times. However, it does not directly reduce physical storage space. Its purpose is to enhance performance and efficiency during data updates, not to optimize storage., Reference: While enhanced master data update is a valuable feature in SAP BW/4HANA, it is unrelated to reducing physical storage space, making this option incorrect., , SummaryTo reduce physical data storage space in SAP BW/4HANA, the following features of InfoObjects are used:, Reference characteristic: Reuses master data from another characteristic, avoiding duplication., Transitive attribute: Derives attributes indirectly through relationships, minimizing redundant storage., These features align with the SAP Data Engineer - Data Fabric's focus on efficient data modeling and storage optimization., , , ]

Question # 8

What are some of the variable types in a BW query that can use the processing type SAP HANA Exit? Note: There are 2 correct answers to this question.

Hierarchy node

Formula

Text

Characteristic value

Explanation:

In SAP BW (Business Warehouse) queries, variables are placeholders that allow dynamic input for filtering or calculations at runtime. The processing type "SAP HANA Exit" is a specific variable processing option that leverages SAP HANA's in-memory capabilities to enhance query performance by pushing down the variable processing logic to the database layer. This ensures faster execution and optimized resource utilization.

Hierarchy Node (Option A)

Hierarchy nodes are used in BW queries to represent hierarchical structures (e.g., organizational hierarchies, product hierarchies).

When using the SAP HANA Exit processing type, the hierarchy node variable can be processed directly in the SAP HANA database. This allows for efficient handling of hierarchical data and improves query performance by leveraging HANA's advanced processing capabilities.

Characteristic Value (Option D)

Characteristic values are attributes associated with master data (e.g., customer IDs, product codes).

By using the SAP HANA Exit processing type, characteristic value variables can be resolved directly in the HANA database. This eliminates the need for additional processing in the application layer, resulting in faster query execution.

Formula (Option B):Formula variables are used to calculate values dynamically based on predefined formulas. These variables are typically processed in the application layer and cannot leverage the SAP HANA Exit processing type.

Text (Option C):Text variables are used to filter or display descriptive text associated with master data.Like formula variables, text variables are processed in the application layer and do not support the SAP HANA Exit processing type.

SAP BW/4HANA Query Design Guide:This guide explains how variables are processed in BW queries and highlights the benefits of using SAP HANA Exit for certain variable types.

Link:SAP BW/4HANA Documentation

SAP HANA Optimization Techniques:SAP HANA Exit is part of the broader optimization techniques recommended for SAP BW/4HANA implementations. It aligns with the Data Fabric concept of integrating and optimizing data across various layers.

[Reference: SAP Note 2296290 - Best Practices for SAP BW/4HANA Query Performance., By selectingHierarchy NodeandCharacteristic Value, you ensure that the query leverages SAP HANA's in-memory processing capabilities, which is a key aspect of modern data engineering in the SAP ecosystem., ]

Question # 9

You created an Open ODS View on an SAP HANA database table to virtually consume the data in SAP BW/4HANA. Real-time reporting requirements have now changed you are asked to persist the data in SAP BW/4HANA.

Which objects are created when using the "Generate Data Flow" function in the Open ODS View editor? Note: There are 3 correct answers to this question.

DataStore object (advanced)

SAP HANA calculation view

Transformation

Data source

CompositeProvider

Explanation:

Open ODS View: An Open ODS View in SAP BW/4HANA allows virtual consumption of data from external sources (e.g., SAP HANA tables). It does not persist data but provides real-time access to the underlying source.

Generate Data Flow Function: When using the "Generate Data Flow" function in the Open ODS View editor, SAP BW/4HANA creates objects to persist the data for reporting purposes. This involves transforming the virtual data into a persistent format within the BW system.

Generated Objects:

DataStore Object (Advanced): Used to persist the data extracted from the Open ODS View.

Transformation: Defines how data is transformed and loaded into the DataStore Object (Advanced).

Data Source: Represents the source of the data being persisted.

Key Concepts:Objects Created by "Generate Data Flow":When you use the "Generate Data Flow" function in the Open ODS View editor, the following objects are created:

DataStore Object (Advanced): This is the primary object where the data is persisted. It serves as the storage layer for the data extracted from the Open ODS View.

Transformation: A transformation is automatically generated to map the fields from the Open ODS View to the DataStore Object (Advanced). This ensures that the data is correctly structured and transformed during the loading process.

Data Source: A data source is created to represent the Open ODS View as the source of the data. This allows the BW system to extract data from the virtual view and load it into the DataStore Object (Advanced).

B. SAP HANA Calculation View: While Open ODS Views may be based on SAP HANA calculation views, the "Generate Data Flow" function does not create additional calculation views. It focuses on persisting data within the BW system.

E. CompositeProvider: A CompositeProvider is used to combine data from multiple sources for reporting. It is not automatically created by the "Generate Data Flow" function.

[References:SAP BW/4HANA Documentation on Open ODS Views: The official documentation explains the "Generate Data Flow" function and its role in persisting data., SAP Note on Open ODS Views: Notes such as 2608998 provide details on how Open ODS Views interact with persistent storage objects., SAP BW/4HANA Best Practices for Data Modeling: These guidelines recommend using transformations and DataStore Objects (Advanced) for persisting data from virtual sources., By using the "Generate Data Flow" function, you can seamlessly transition from virtual data consumption to persistent storage, ensuring compliance with real-time reporting requirements., ]

Question # 10

What are prerequisites for S-API Extractors to load data directly into SAP Datasphere core tenant using delta mode? Note: There are 2 correct answers to this question.

Real-time access needs to be enabled

A primary key needs to exist.

Extractor must be based on a function module

Operational Data Provisioning (ODP) must be enabled

Explanation:

To load data directly into SAP Datasphere (formerly known as SAP Data Warehouse Cloud) core tenant using delta mode via S-API Extractors, certain prerequisites must be met. Letâ€™s evaluate each option:

Option A: Real-time access needs to be enabled.Real-time access is not a prerequisite for delta mode loading. Delta mode focuses on incremental data extraction and loading, which does not necessarily require real-time capabilities. Real-time access is more relevant for scenarios where immediate data availability is critical.

Option B: A primary key needs to exist.A primary key is essential for delta mode loading because it uniquely identifies records in the source system. Without a primary key, the system cannot determine which records have changed or been added since the last extraction, making delta processing impossible.

Option C: Extractor must be based on a function module.While many S-API Extractors are based on function modules, this is not a strict requirement for delta mode loading. Extractors can also be based on other mechanisms, such as views or tables, as long as they support delta extraction.

Option D: Operational Data Provisioning (ODP) must be enabled.ODP is a critical prerequisite for delta mode loading. It provides the infrastructure for managing and extracting data incrementally from SAP source systems. Without ODP, the system cannot track changes or deltas effectively, making delta mode loading infeasible.

[References:SAP Datasphere Documentation: Outlines the prerequisites for integrating data from SAP source systems using delta mode., SAP Help Portal: Provides detailed information on S-API Extractors and their requirements for delta processing., SAP Best Practices for Data Integration: Highlights the importance of primary keys and ODP in enabling efficient delta extraction., In conclusion, the two prerequisites for S-API Extractors to load data into SAP Datasphere core tenant using delta mode are the existence of aprimary keyand the enabling ofOperational Data Provisioning (ODP)., , ]

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SAP C_BW4H_2505 - SAP Certified Associate - Data Engineer - SAP BW/4HANA

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