C_BW4HANA_27 Exam Details

  • Exam Code
    :C_BW4HANA_27
  • Exam Name
    :SAP Certified Application Associate - Reporting Modeling and Data Acquisition with SAP BW/4HANA 2.x
  • Certification
    :SAP Certifications
  • Vendor
    :SAP
  • Total Questions
    :80 Q&As
  • Last Updated
    :May 24, 2026

SAP C_BW4HANA_27 Online Questions & Answers

  • Question 31:

    Which of the following methods supports the SAP HANA data virtualization approach with OBDC technology?

    A. SAP HANA smart data access
    B. SAP HANA smart data integration
    C. SAP Landscape Transformation Replication Server
    D. SAP Data Services

  • Question 32:

    You loaded a 5 MB table from a source system to SAP BW/4HAN

    A. How do you explain that the size of the table is reduced to 1 MB?
    B. The target is defined as column store and a delta merge job was executed.
    C. The target is defined as row store and a delta merge job was executed.
    D. The target is defined as row store without delta merge execution.
    E. The target is defined as coiumn store without delta merge execution.

  • Question 33:

    Which actions can you perform with an SAP HANA calculation view that has the DIMENSION data category assigned? Note: There are 2 correct answers to this question.

    A. Join serveral tables.
    B. Define text joins.
    C. Persist master data.
    D. Aggregate measures.

  • Question 34:

    You need to enable real-time streaming using SAP HANA smart data integration (SDI) to load data into a DataStore object (advanced). What are prerequisites for this requirement? Note: There are 2 correct answers to this question.

    A. The source system is pulling data into SAP BW/4HANA.
    B. The process chain is running in streaming mode.
    C. The data target is a DataStore object (advanced) of the InfoCube model template.
    D. The adapter is real-time enabled.

  • Question 35:

    Which SAP tool do you suggest to create a pixel-precise formatted report?

    A. SAP Lumira, discovery edition
    B. SAP Analysis for OLAP
    C. SAP Crystal Reports for Enterprise
    D. SAP Analytics Cloud

  • Question 36:

    Why do you define a custom table as a row store table? Note: There are 2 correct answers to this question.

    A. The table will be integrated into a native SAP HANA calculation view.
    B. Aggregation and fast search is required for query execution.
    C. When the table is accessed, all columns of a single record are processed.
    D. The values in the columns are different. Therefore, data compression would NOT have much effect.

  • Question 37:

    What can you create within the SAP BW data flow object? Note: There are 2 correct answers to this question.

    A. InfoAreas
    B. Key figures
    C. InfoProviders
    D. Transformations

  • Question 38:

    You define a new generic DataSource in SAP ERP with A time stamp as the delta characteristic A value for the Safety interval Lower Limit A new status for changed records.

    How does this impact how you model the data target in SAP BW/4HANA? Note: There are 2 correct answers to this question.

    A. The data target must be able to manage duplicate records.
    B. The data target can be a DataStore object (advanced) of the Standard DataStore Object model template.
    C. The data target can be a DataStore object (advanced) of the InfoCube model template.
    D. The data target must be modeled with a characteristic for the safety interval.

  • Question 39:

    You need to view the SAP HANA calculation views, SAP BW DataSources, and InfoAreas in the same SAP HANA studio perspective. What should you do?

    A. Attach an SAP BW project to an SAP HANA system.
    B. Attach an SAP HANA system to an SAP BW project.
    C. Attach an ABAP project to an SAP BW project.
    D. Attach an SAP BW project to an ABAP project.

  • Question 40:

    Which objects can you associate with a source field that is defined as a characteristic within an Open ODS view? Note: There are 2 correct answers to this question.

    A. SAP BW InfoObject
    B. Open ODS view type Master Data for Attributes
    C. Open ODS view type Facts
    D. Open ODS view type Master Data for Hierarchies

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