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[General] Well-known C-BW4H-2505 Practice Engine Sends You the Best Training Dumps - VC

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【General】 Well-known C-BW4H-2505 Practice Engine Sends You the Best Training Dumps - VC

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SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q57-Q62):NEW QUESTION # 57
What is the request handling default setting for error handling in a data transfer process (DTP) in SAP BW
/4HANA?
  • A. Request is set to success, error stack is written, and valid records are updated.
  • B. Request is canceled, records are not tracked, and target is not updated.
  • C. Request is set to failed, error stack is written, and valid records are updated.
  • D. Request is canceled, first incorrect record is tracked, and target is not updated.
Answer: C

NEW QUESTION # 58
You define a remote subscription of type UPSERT in an SAP HANA Smart Data Integration (SDI) real-time update scenario.Which fields are added to the DataSource automatically?Note: There are 3 correctanswers to this question.
  • A. SDI_LENTITY_COUNTER
  • B. SDILCHANGE_TYPE
  • C. SDILCHANGE_TIME
  • D. SDILRECORD_MODE
  • E. SDILCHANGE_SEQUENCE
Answer: B,C,E

NEW QUESTION # 59
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.
  • A. Extractor must be based on a function module
  • B. Operational Data Provisioning (ODP) must be enabled
  • C. Real-time access needs to be enabled
  • D. A primary key needs to exist.
Answer: B,D
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. Let'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).

NEW QUESTION # 60
Why do you set Read Access Type to "SAP HANA View" in a BW InfoObject?
  • A. To enable parallel loading of master data texts
  • B. To generate an SAP HANA calculation view, data category Dimension
  • C. To use the InfoObject as an association within an Open ODS view
  • D. To report master data attributes which are defined in calculation views
Answer: D

NEW QUESTION # 61
You created an Open ODS view of type Facts.
With which object types can you associate a field in the Characteristics folder? Note: There are 2 correct answers to this question.
  • A. InfoObject of type Characteristic
  • B. Open ODS view of type Master Data
  • C. HDI Calculation View of data category Dimension
  • D. Open ODS view of type Facts
Answer: A,B
Explanation:
In SAP Data Engineer - Data Fabric, specifically within the context of Open ODS views, associating fields in the Characteristics folder is a critical task for data modeling. Let's break down the options and understand why A and B are the correct answers:
* Explanation: Open ODS views of type "Master Data" are designed to hold descriptive attributes or characteristics that provide context to transactional data (facts). When you create an Open ODS view of type "Facts," you can associate fields in the Characteristics folder with master data objects. This association allows the fact data to be enriched with descriptive attributes from the master data.
* In SAP BW/4HANA, Open ODS views of type Master Data are often used to model dimensions or attributes that describe the facts. For example, customer or product details can be modeled as master data and linked to fact data.
2. InfoObject of Type Characteristic (Option B)Explanation: An InfoObject of type "Characteristic" is a fundamental object in SAP BW/4HANA that represents a business attribute or property. These InfoObjects can be used to define characteristics in the Characteristics folder of an Open ODS view of type Facts. By associating a field with an InfoObject, you ensure consistency and reusability of metadata across the system.
Reference: InfoObjects are part of the SAP BW metadata repository and are widely used in modeling scenarios. They provide a standardized way to define and manage characteristics such as customer, product, or region.
3. Open ODS View of Type Facts (Option C)Explanation: Open ODS views of type "Facts" are designed to store transactional data (measures) rather than descriptive attributes. Fields in the Characteristics folder cannot be associated with another Open ODS view of type Facts because this would create redundancy and violate the separation of concerns between facts and characteristics.
Reference: The architecture of Open ODS views enforces a clear distinction between fact data (quantitative measures) and characteristic data (descriptive attributes).
4. HDI Calculation View of Data Category Dimension (Option D)Explanation: While HDI (HANA Deployment Infrastructure) Calculation Views of data category "Dimension" are used in SAP HANA to model dimensional data, they are not directly compatible with Open ODS views in SAP BW/4HANA. Open ODS views operate within the BW/4HANA framework and rely on BW-specific objects like InfoObjects or other Open ODS views for associations.
Reference: HDI Calculation Views are part of the native SAP HANA modeling environment and are not natively integrated with BW/4HANA Open ODS views. Therefore, they cannot be directly associated with fields in the Characteristics folder of an Open ODS view.
ConclusionThe correct answers areA (Open ODS view of type Master Data)andB (InfoObject of type Characteristic)because these are the only object types that align with the purpose of the Characteristics folder in an Open ODS view of type Facts. They enable the enrichment of transactional data with descriptive attributes while maintaining the integrity and structure of the data model.

NEW QUESTION # 62
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