Question 1:
Which component is primarily responsible for orchestrating and managing the big data landscape in a Big Data Warehouse architecture?
A) SAP BW/4HANAB) SAP Data Hub
C) SAP Vora
D) Hadoop File System (HDFS)
Correct Answer: B) SAP Data Hub
Explanation:
SAP Data Hub is the central orchestrator in Big Data
Warehouse architecture. It manages, processes, and integrates both structured
and unstructured data by linking core systems (like SAP BW/4HANA) with
big data platforms such as Hadoop. This orchestration ensures streamlined
data flow, improved governance, and enhanced pipeline automation.
Question 2:
What is the purpose of the "Start SAP Data Hub Graph" process type in SAP BW/4HANA?
A) To transfer data to SAP VoraB) To start data workflows that end after a specific time
C) To manage metadata connections
D) To distribute data to HDFS
Correct Answer: B) To start data workflows that end after a specific time
Explanation:
This process type triggers graphs (data workflows) that
begin within SAP BW/4HANA and complete after a defined duration. It enables
automation in data integration and pipeline execution, aligning with SAP
Data Hub’s orchestration capabilities.
Question 3:
Which of the following is a valid method for transferring data from SAP BW/4HANA to SAP Vora or cloud storage?
A) Using the Metadata ExplorerB) Using the Data Transfer Operator in SAP Data Hub
C) Using the SPARK SQL Adapter
D) Using the Start SAP Data Hub Graph process
Correct Answer: B) Using the Data Transfer Operator in SAP Data Hub
Explanation:
The Data Transfer Operator is a key feature of SAP Data
Hub that enables secure and structured transfer of data from SAP BW/4HANA
to SAP Vora or other cloud environments. It ensures that enterprise data
reaches analytical platforms without data loss or transformation issues.
Question 4:
What is the role of the Open Hub Destination with HDFS File storage location in SAP BW/4HANA?
A) To start process chains in SAP Data HubB) To distribute data from SAP BW/4HANA to Hadoop File System
C) To connect SAP BW/4HANA with Metadata Explorer
D) To execute SPARK SQL queries
Correct Answer: B) To distribute data from SAP BW/4HANA to Hadoop File System
Explanation:
This setup allows users to export data from SAP BW/4HANA
into HDFS, enabling the use of Hadoop’s scalable storage and processing
power. It serves as a bridge for hybrid data warehousing models.
Question 5:
Which SAP Data Hub feature allows users to connect SAP BW/4HANA with the Metadata Explorer?
A) Data Transfer OperatorB) Process Orchestration
C) Metadata Governance
D) Big Data Source System
Correct Answer: C) Metadata Governance
Explanation:
Metadata Governance connects SAP BW/4HANA to SAP Data
Hub’s Metadata Explorer, giving users access to lineage, profiling, and
metadata management capabilities. This feature ensures regulatory compliance
and data transparency.
