SAP E_HANABW_13 Online Practice Questions and Exam Preparation

SAP E_HANABW_13 Online Questions & Answers

• Question 11:

  Which applications are available in SAP Data Hub to run the solution? Note: There are 2 correct answers to this question.

  A. SAP Data Hub Metadata Explorer
  B. SAP Data Hub Connection Management.
  C. SAP HANA Data Management Suite.
  D. SAP BW/4HANA Web Administration cockpit.
  E. SAP BW/4HANA Process Chain Modeler.
  A. SAP Data Hub Metadata Explorer
  B. SAP Data Hub Connection Management.

• Question 12:

  On which of the following objects can you restrict a characteristic?

  A. Formula
  B. Exception
  C. Hierarchy node
  D. Condition
  C. Hierarchy node

• Question 13:

  Which of the following items are part of an InfoObject definition?

  A. Attributes
  B. Transaction codes
  C. Text Information
  D. Dimension
  E. Hierarchies
  A. Attributes
  C. Text Information
  E. Hierarchies

• Question 14:

  Is SAP Data Hub already generally available?

  A. No, SAP Data Hub is currently under development.
  B. SAP Data Hub will be available with SAP BW/4HANA 2.0, planned for Q2 2019
  C. Yes, SAP Data Hub is already generally available.
  D. No, SAP Data Hub is only available to SAP partners.
  C. Yes, SAP Data Hub is already generally available.

• Question 15:

  Which statement for field-based modeling in SAP BW/4HANA is true?

  A. Field-based modeling is only available for SAP sources.
  B. Field-based modeling cannot leverage the SAP BW/4HANA authorization concept.
  C. Field-based modeling complements InfoObject modeling and is fully integrated with existing SAP BW/4HANA objects/models and SAP BW/4HANA authorizations.
  D. Field-based modeling is not recommended for mass data loads.
  C. Field-based modeling complements InfoObject modeling and is fully integrated with existing SAP BW/4HANA objects/models and SAP BW/4HANA authorizations.

• Question 16:

  How many dimension tables can the SAP BW system administrator create per Infocube?

  A. 16
  B. 233
  C. 13
  D. 248
  A. 16

• Question 17:

  For which scenario do you recommend an InfoSource?

  A. Allow the creation of delta records.
  B. Use it as a source for the data transfer process.
  C. Connect multiple sources and targets.
  D. Store intermediate results
  C. Connect multiple sources and targets.

• Question 18:

  For what kind of tasks is SAP Data Hub designed? Note: There are 2 correct answers to this question.

  A. For connecting all types of data sources (enterprise systems, data lakes, etc.)
  B. For building a data warehouse and persisting the data.
  C. For orchestrating Big Data landscapes.
  D. For replicating data from operational systems.
  A. For connecting all types of data sources (enterprise systems, data lakes, etc.)
  C. For orchestrating Big Data landscapes.

• Question 19:

  Which of the following is required to perform currency conversion in an SAP HANA information model?

  A. An innerjoin is required between the Open ODS View measures and the exchange rate table
  B. Setting a semantic type to a measure so the amount always includes a currency
  C. Storing the currency and the exchange rate on the day of the transaction will improve performance
  D. An interface to define how the currency conversion should be processed
  E. A set of technical tables are required to store currencies and exchange rate types and rates
  B. Setting a semantic type to a measure so the amount always includes a currency
  D. An interface to define how the currency conversion should be processed
  E. A set of technical tables are required to store currencies and exchange rate types and rates

• Question 20:

  Why are DataStore Objects so important? Choose the correct answer(s).

  A. They can overwrite data.
  B. They allow for raw uncleansed data to be stored for 3 months.
  C. They easily integrate in the data flow.
  D. They store detailed data leaving Infocubes to store aggregated data.
  A. They can overwrite data.
  C. They easily integrate in the data flow.
  D. They store detailed data leaving Infocubes to store aggregated data.