Reliable C-BW4H-2404 Test Topics, Dumps C-BW4H-2404 Cost

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SAP C-BW4H-2404 Exam Syllabus Topics:

Topic	Details
Topic 1	SAP BW Query Design: This portion encompasses the development and implementation of BW queries in the SAP BW 4HANA environment.
Topic 2	Fundamentals: This portion explores key terminologies, principles, and benefits of SAP BW 4HANA built on SAP HANA technology.
Topic 3	SAP BW 4HANA Project and the Modeling Process: This segment offers direction on orchestrating SAP BW 4HANA initiatives.
Topic 4	Data Acquisition into SAP BW 4HANA: This section addresses the incorporation of diverse data origins into SAP BW 4HANA and the methodologies for data ingestion.
Topic 5	SAP Datasphere: This part investigates the implementation of SAP Datasphere, encompassing its modeling components and the SAP BW bridge capabilities.
Topic 6	SAP BW4HANA Project and Modeling Process: In this topic, candidates learn about how to design and implement efficient data models within environment of the SAP BW 4HANA.
Topic 7	Data Governance, Security, and Authorization: This part concentrates on safeguarding assets and information within SAP BW 4HANA and SAP HANA ecosystems.

SAP Certified Associate - Data Engineer - Data Fabric Sample Questions (Q81-Q86):

NEW QUESTION # 81
Where can you use an authorization variable? Note: There are 2 correct answers to this question.

A. In the definition of a restricted key figure
B. In the definition of a query filter
C. In the definition of a characteristic value variable
D. In the definition of a calculated key figure

Answer: B,C

Explanation:
Authorization variables in SAP BW/4HANA are used to dynamically restrict data access based on user- specific criteria, such as organizational units or regions. These variables are particularly useful in query design and reporting. Below is a detailed explanation of why the correct answers are A and B:
* Correct: Authorization variables can be used in query filters to dynamically restrict the data displayed in a query. For example, you can use an authorization variable to filter sales data based on the user's assigned region. This ensures that users only see data relevant to their authorization profile.
Option A: In the definition of a query filter
* Correct: Authorization variables can also be used in characteristic value variables. These variables allow you to dynamically determine the values of characteristics (e.g., customer, product, or region) based on the user's authorization profile. This is particularly useful for creating flexible and secure reports.
Option B: In the definition of a characteristic value variable
* Incorrect: Authorization variables cannot be used in the definition of calculated key figures. Calculated key figures are mathematical expressions that operate on existing key figures and do not involve dynamic filtering based on user authorizations.
Option C: In the definition of a calculated key figure
* Incorrect: While restricted key figures allow you to filter data based on specific criteria, they do not support the use of authorization variables. Restricted key figures are static and predefined, whereas authorization variables are dynamic and user-specific.
Option D: In the definition of a restricted key figure
* SAP BW/4HANA Query Design Guide: Explains the use of authorization variables in query filters and characteristic value variables.
* SAP Help Portal: Provides detailed information on how authorization variables enhance data security in reporting.
* SAP Data Fabric Architecture: Emphasizes the role of dynamic filtering in ensuring compliance with data governance policies.
References to SAP Data Engineer - Data Fabric ConceptsBy leveraging authorization variables effectively, you can ensure that users only access data they are authorized to view, enhancing both security and usability in your SAP BW/4HANA environment.

NEW QUESTION # 82
Which recommendations should you follow to optimize BW query performance? Note: There are 3 correct answers to this question

A. Use exclude functions in the restricted key figures
B. Use include functions in the restricted key figures.
C. Use fewer drill-down characteristics in the initial view
D. Use characteristic filters that overlap
E. Use mandatory characteristic value variables

Answer: B,C,E

Explanation:
* A. Use fewer drill-down characteristics in the initial view: This can improve the query performance by reducing the amount of data that needs to be transferred and displayed at the start of the query execution. The user can drill down to more details later if needed1.
* D. Use mandatory characteristic value variables: This can improve the query performance by restricting the data selection to a smaller set of values that are relevant for the user. The user can also change the variable values later if needed1.
* E. Use include functions in the restricted key figures: This can improve the query performance by avoiding unnecessary calculations and aggregations that are done when using exclude functions.
Include functions are also more efficient than selections or restricted key figures when filtering data1.
Reference:
* 2 https://blogs.sap.com/2015/04/20/query-performance-optimisation-tips-in-bw-73/
* 1 https://blogs.sap.com/2022/02/02/query-performance-optimization-in-bw-few-tips/
* 3 https://help.sap.com/doc/00f68c2e08b941f081002fd3691d86a7/2022.12/en- us/0471d0ecea4e4677ba29d9ac1496c24c.html
* 4 https://blogs.sap.com/2021/06/02/sap-bw-4hana-performance-optimization-part-i/

NEW QUESTION # 83
You defined a condition in a BW query for the top 10 of 100 customers based on sales revenue.
Using key figure properties in the BW query which two scenarios regarding result presentation can be achieved? Note: There are 2 correct answers to this question.

A. One result row with the sales revenue sum of the top 10 customers
B. One result row with the sales revenue sum of all 100 customers
C. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of all 100 customers
D. One result row with the sales revenue sum of the top 10 customers a second result row with the sales revenue sum of the other 90 customers

Answer: A,D

NEW QUESTION # 84
What can you leverage using the live data connectyions of SAP Analytics Cloud with SAP BW/4HANA? Note: There are 2 correct answers to this question.

A. BW data models for planning scenarios
B. Existing authorization concepts
C. Process chain streaming functionally
D. BW data models for analysis

Answer: B,D

NEW QUESTION # 85
Which join types can you use in a Composite Provider? Note: There are 3 correct answers to this question.

A. Temporal hierarchy join
B. Full Outer join
C. Referential join
D. Inner join
E. Text join

Answer: B,C,D

NEW QUESTION # 86
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RELIABLE C-BW4H-2404 TEST TOPICS, DUMPS C-BW4H-2404 COST

Reliable C-BW4H-2404 Test Topics, Dumps C-BW4H-2404 Cost