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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q59-Q64):

NEW QUESTION # 59
Which capabilities does SAP Analytics Cloud provide in the context of an SAP Business Data Cloud Intelligent Application?
There are 2 correct answers to this question.
Response:

A. Data modeling
B. Data storage
C. Planning
D. Visualization of insights

Answer: C,D

NEW QUESTION # 60
Which of the following activities does SAP Business Data Cloud cockpit support? Note: There are 2 correct answers to this question.

A. Configure SAP Business Data Cloud
B. Enhance Analytic Models
C. Discover and activate data products
D. Debug authorization issues

Answer: A,C

Explanation:
The SAP Business Data Cloud (BDC) Cockpit serves as the central administrative and operational interface for managing the BDC environment. Among its core functionalities, it directly supports the ability to configure SAP Business Data Cloud. This includes setting up connections, managing spaces, configuring system parameters, and generally overseeing the platform's infrastructure. It provides administrators with the necessary tools to tailor the BDC environment to specific organizational needs. Additionally, the cockpit is instrumental in allowing users to discover and activate data products. Data products are pre-built, semantically rich data assets that encapsulate business logic and data from various sources, offered within the BDC ecosystem. The cockpit acts as a marketplace or catalog where users can find relevant data products, understand their content, and activate them for use in their analytics and applications. While "Enhance Analytic Models" is done in tools like SAP Datasphere's Data Builder and debugging authorization issues might involve various tools, direct configuration and data product management are key features of the BDC Cockpit.

NEW QUESTION # 61
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 Cloud Connector is installed on a local host.
B. The DP Agent is installed and configured on a local host.
C. The DP Agent is configured for a dedicated space in SAP Datasphere.
D. The data provisioning adapter is installed.

Answer: B,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 # 62
Which automatically created dimension type can you delete from an SAP Analytics Cloud analytic data model?

A. Date
B. Generic
C. Version
D. Organization

Answer: B

Explanation:
In an SAP Analytics Cloud (SAC) analytic data model, you typically have a degree of flexibility in managing dimensions. Among the automatically created dimension types, the Generic dimension can often be deleted if it's not relevant or desired for your analysis. Generic dimensions are often generated by the system based on identified data patterns but might not always align with specific business requirements or be redundant. In contrast, Date, Version, and Organization dimensions are fundamental and often system-critical, especially for planning models (Version, Organization) or time-based analysis (Date). These core dimensions are usually not freely deletable or are required by the system for specific functionalities. Therefore, for tailoring your analytic model to specific business needs, the ability to remove generic dimensions provides greater control and simplification.

NEW QUESTION # 63
How many characters are comments limited to in SAP Analytics Cloud?
Please choose the correct answer.
Response:

A. 0
B. 10,000
C. 1
D. 2

Answer: B

NEW QUESTION # 64
......

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Alan Smith Alan Smith

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