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C-BW4H-2505 Exam Experience, Latest C-BW4H-2505 Exam Discount

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SAP C-BW4H-2505 Exam Syllabus Topics:

Topic
Details

Topic 1

SAP BW
4HANA Modeling:This section targets the skills of Data Engineers in selecting appropriate modeling options and applying best practices like LSA++ within SAP BW
4HANA. It focuses on designing scalable, high-performing data models.

Topic 2

Fundamentals: This section of the exam measures the foundational understanding of SAP Consultants and covers essential terms and concepts related to SAP BW
4HANA and SAP Business Data Cloud. It focuses on the core framework and architecture necessary to navigate and work with these platforms.

Topic 3

Data Acquisition into SAP HANA: This section evaluates the capacity of SAP Consultants to integrate various data sources into SAP HANA. It assesses their ability to understand different ingestion techniques and ensure data accessibility for processing.

Topic 4

SAP BW
4HANA Project and the Modeling Process:This section of the exam assesses how Data Engineers guide and contribute to SAP BW
4HANA projects. It includes knowledge of modeling workflows, project lifecycle stages, and collaboration strategies within project teams.

Topic 5

SAP BW Query Design: This section of the exam assesses the ability of Data Engineers to create and run queries using SAP BW
4HANA. It evaluates how well candidates can work with query components to retrieve and structure data effectively for reporting and analysis.

Topic 6

SAP BW
4HANA Data Flow: This section of the exam measures the practical ability of SAP Consultants to load data within the SAP BW
4HANA environment. It assesses familiarity with data movement and transformation processes across different layers of the system.

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SAP Certified Associate - Data Engineer - SAP BW/4HANA Sample Questions (Q71-Q76):

NEW QUESTION # 71
Which solution enables advanced Al and machine learning models on combined SAP and third-party data?

A. SAP Analytics Cloud
B. SAP Databricks
C. SAP Datasphere
D. SAP Al Launchpad

Answer: B

NEW QUESTION # 72
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 correctanswers to this question.

A. SAP Data Services
B. SAP Lscape Transformation Replication Server
C. SAP Process Integration

Answer: A,C

NEW QUESTION # 73
You use a measure with semantic type "Amount with Currency Code" in your SAP HANA HDI calculation view.Which kind of currency reference can be assigned to the measure?Note: There are 2 correctanswers to this question.

A. Acolumn from another SAP HANA view
B. A fixed currency from table TCURC
C. A variable in the same SAP HANA view
D. Another column of the same SAP HANA view

Answer: C,D

NEW QUESTION # 74
What are the prerequisites for deleting business partner attribute master data in SAP BW/4HANA? Note:
There are 2 correct answers to this question.

A. There must be no transaction data in a DataStore Object (advanced) referring to business partner values that should be deleted.
B. In SAP BW/4HANA there must be no analysis authorizations related to business partner values that should be deleted
C. There must be no BW query as InfoProvider in SAP BW/4HANA that uses business partner as a free characteristic.
D. In SAP BW/4HANA there must be no hierarchy data related to business partner values that should be deleted.

Answer: A,B

Explanation:
Deleting master data in SAP BW/4HANA requires careful consideration of dependencies to ensure data integrity and system stability. Below is a detailed explanation of the prerequisites for deleting business partner attribute master data:
* Explanation: While it is important to ensure that queries do not rely on specific master data values, this is not a strict prerequisite for deleting master data. Queries using business partner as a free characteristic will not prevent the deletion of master data, as long as there are no active dependencies such as transaction data or authorizations tied to those values.
* SAP BW/4HANA allows master data deletion even if queries reference the characteristic, provided there are no underlying dependencies like transaction data or authorizations.
Option B: In SAP BW/4HANA there must be no hierarchy data related to business partner values that should be deletedExplanation: While hierarchy data can be associated with master data, the presence of hierarchies does not directly prevent the deletion of master data. Hierarchies can be adjusted or removed independently of the master data deletion process. Therefore, this is not a prerequisite.
Reference: SAP documentation does not list hierarchy data as a blocking factor for master data deletion unless the hierarchy itself has active dependencies.
Option C: There must be no transaction data in a DataStore Object (advanced) referring to business partner values that should be deletedExplanation: Transaction data in a DataStore Object (advanced) creates a dependency on the master data. If transaction data references specific business partner values, those values cannot be deleted until the transaction data is either archived or removed. This ensures data consistency and prevents orphaned records.
Reference: SAP BW/4HANA enforces this rule to maintain referential integrity between master data and transactional data. Deleting master data without addressing transaction data would lead to inconsistencies.
Option D: In SAP BW/4HANA there must be no analysis authorizations related to business partner values that should be deletedExplanation: Analysis authorizations define access restrictions based on master data values. If analysis authorizations are configured to restrict access using specific business partner values, those values cannot be deleted until the authorizations are updated or removed. This ensures that security settings remain valid and consistent.
Reference: SAP BW/4HANA checks for dependencies in analysis authorizations before allowing master data deletion. Failing to address these dependencies can result in authorization errors.

NEW QUESTION # 75
Your company manufactures products with country-specific serial numbers.
For this scenario you have created 3 custom characteristics with the technical names "PRODUCT"
"COUNTRY" "SERIAL_NO".
How do you need to model the characteristic "PRODUCT" to store different attribute values for serial numbers?

A. Use "COUNTRY" as a navigation attribute for "PRODUCT".
B. Use "SERIAL_NO" as a transitive attribute for "PRODUCT".
C. Use "SERIAL_NO" as a compounding characteristic for "PRODUCT".
D. Use "COUNTRY" as a compounding characteristic for "PRODUCT".

Answer: C

Explanation:
In this scenario, the company manufactures products with country-specific serial numbers, and you need to model the characteristic "PRODUCT" to store different attribute values for serial numbers. Let's analyze each option:
* Option A: Use "COUNTRY" as a navigation attribute for "PRODUCT".Navigation attributes are used to provide additional descriptive information about a characteristic. However, they do not allow for unique identification of specific values (like serial numbers) based on another characteristic. Navigation attributes are typically used for reporting purposes and do not fulfill the requirement of storing different attribute values for serial numbers.
* Option B: Use "SERIAL_NO" as a transitive attribute for "PRODUCT".Transitive attributes are derived attributes that depend on other attributes in the data model. They are not suitable for directly storing unique values like serial numbers. Transitive attributes are more about deriving values rather than uniquely identifying them.
* Option C: Use "COUNTRY" as a compounding characteristic for "PRODUCT".Compounding characteristics involve combining multiple characteristics into a single key. While this could theoretically work if "COUNTRY" were part of the key, it does not address the requirement of associating serial numbers with products. The primary focus here is on "SERIAL_NO," not
"COUNTRY."
* Option D: Use "SERIAL_NO" as a compounding characteristic for "PRODUCT".This is the correct approach. By defining "SERIAL_NO" as a compounding characteristic for "PRODUCT," you create a composite key that uniquely identifies each product instance based on its serial number. This ensures that different attribute values (e.g., country-specific details) can be stored for each serial number associated with a product.
References:SAP BW/4HANA Modeling Guide: Explains the concept of compounding characteristics and their use cases in modeling scenarios.
SAP Help Portal: Provides detailed documentation on how to define and use compounding characteristics in SAP BW/4HANA.
SAP Community Blogs: Experts often discuss practical examples of using compounding characteristics to handle complex data relationships.
By using "SERIAL_NO" as a compounding characteristic for "PRODUCT," you ensure that the data model supports the storage of unique attribute values for each serial number, meeting the business requirement effectively.

NEW QUESTION # 76
......

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