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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q53-Q58):

NEW QUESTION # 53
What are the three primary access levels you can assign when sharing files?
There are 3 correct answers to this question.
Response:

A. Read Only
B. View
C. Full Control
D. Edit
E. Read/Write

Answer: B,C,D

NEW QUESTION # 54
In SAP Analytics Cloud, you have a story based on an import model. The transactional data in the model's data source changes. How can you update the data in the model?

A. Refresh the data source
B. Schedule the import
C. Refresh the story
D. Allow model import

Answer: B

Explanation:
When an SAP Analytics Cloud (SAC) story is based on an import model, the data is physically copied and stored within SAC. Therefore, simply refreshing the story (option A) will only update the visualization with the data already in the model and will not pull new data from the source. Similarly, "Allow model import" (option B) isn't a direct action for updating data, but rather a prerequisite for the import process itself. "Refresh the data source" (option C) is not an action performed within SAC for an import model. To update the data in the model when the transactional data in its source changes, you must schedule the import (option D) or manually re-run the import process. This process re-fetches the latest data from the original source system and updates the SAC import model, ensuring your story reflects the most current information. This scheduling can be set up to occur at regular intervals, keeping the model synchronized with the source data.

NEW QUESTION # 55
What are the primary purposes of SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

A. To provide mainly manual data integration scenarios.
B. To provide foundational services for data and analytics scenarios.
C. To act solely as a data storage solution without analytics capabilities.
D. To provide a homogeneous system landscape for data, functions, and use cases.

Answer: B,D

NEW QUESTION # 56
What are the prerequisites for loading data using Data Provisioning Agent (DP Agent) for SAP Datasphere? Note: There are 2 correct answers to this question.

A. The DP Agent is configured for a dedicated space in SAP Datasphere.
B. The Cloud Connector is installed on a local host.
C. The DP Agent is installed and configured on a local host.
D. The data provisioning adapter is installed.

Answer: C,D

Explanation:
To load data into SAP Datasphere using the Data Provisioning Agent (DP Agent), two crucial prerequisites must be met. Firstly, the DP Agent must be installed and configured on a local host (A). The DP Agent acts as a bridge between your on-premise data sources and SAP Datasphere in the cloud. It needs to be deployed on a server within your network that has access to the source systems you wish to connect. Secondly, the relevant data provisioning adapter must be installed (B) within the DP Agent framework. Adapters are specific software components that enable the DP Agent to connect to different types of source systems (e.g., SAP HANA, Oracle, Microsoft SQL Server, filesystems). Without the correct adapter, the DP Agent cannot communicate with and extract data from your chosen source. While the Cloud Connector (C) is often used for secure access to SAP backend systems in the cloud, it's not a direct prerequisite for the DP Agent itself for all data sources. Configuring the DP Agent for a specific space (D) is a step after the initial installation and adapter setup.

NEW QUESTION # 57
Which options do you have when using the remote table feature in SAP Datasphere? Note: There are 3 correct answers to this question.

A. Data can be loaded using advanced transformation capabilities.
B. Data access can be switched from virtual to persisted, but not the other way around.
C. Data can be accessed virtually by remote access to the source system.
D. Data can be persisted in SAP Datasphere by creating a snapshot (copy of data).
E. Data can be persisted by using real-time replication.

Answer: C,D,E

Explanation:
The remote table feature in SAP Datasphere offers significant flexibility in how data from external sources is consumed and managed. Firstly, data can be accessed virtually by remote access to the source system (E). This means Datasphere does not store a copy of the data; instead, it queries the source system in real-time when the data is requested. This ensures that users always work with the freshest data. Secondly, data can be persisted in SAP Datasphere by creating a snapshot (copy of data) (C). This allows users to explicitly load a copy of the remote table's data into Datasphere at a specific point in time, useful for performance or offline analysis. Lastly, data can be persisted by using real-time replication (D). For certain source systems and configurations, Datasphere supports continuous, real-time replication, ensuring that changes in the source system are immediately reflected in the persisted copy within Datasphere. Option A is incorrect as the access mode cannot be arbitrarily switched, and option B refers to data flow capabilities, not inherent remote table access options.

NEW QUESTION # 58
......

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