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Details |
| Topic 1 |
- SAP Business Data Cloud: This section of the exam measures the skills of Data Analysts and covers core concepts of the SAP Business Data Cloud. Candidates are expected to understand its key components, integration mechanisms, and how it functions as a foundation for unified data management across SAP and non-SAP environments. The focus is on enabling data connectivity and providing governed access to data across the enterprise.
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| Topic 2 |
- SAP Datasphere: This section of the exam measures the skills of Solution Consultants and covers a comprehensive understanding of SAP Datasphere. Candidates should demonstrate knowledge of data modeling, transformation, and harmonization using SAP Datasphere tools. It evaluates how well they can work with data layer structuring, semantic modeling, and integration to support real-time data access for various business applications.
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| Topic 3 |
- SAP Analytics Cloud: This section of the exam measures the skills of Data Analysts and covers the use of SAP Analytics Cloud in data visualization, story building, and dashboard creation. Candidates should be familiar with its planning and predictive capabilities, along with how to utilize data insights to drive business decision-making. It also includes managing user access and collaborating through shared analytics assets.
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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q77-Q82):
NEW QUESTION # 77
A company wants to enable self-service data access for analysts while maintaining centralized control over source data. Which SAP Business Data Cloud capabilities help meet these requirements?
There are 3 correct answers to this question.
Response:
- A. Data replication via CSV uploads
- B. Business Builder for semantic modeling
- C. Exporting data to Excel for distribution
- D. Remote table access to avoid duplication
- E. Role-based access management
Answer: B,D,E
NEW QUESTION # 78
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 configured for a dedicated space in SAP Datasphere.
- C. The data provisioning adapter is installed.
- D. The DP Agent is installed and configured on a local host.
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 # 79
Which data source does not require a model be created for it in SAP Analytics Cloud for use in stories?
Please choose the correct answer.
Response:
- A. Microsoft SharePoint
- B. SAP Business Warehouse (BW)
- C. SAP Datasphere
Answer: C
NEW QUESTION # 80
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. JavaScript
- B. Wrangling Expression Language
- C. Python
- D. ABAP
Answer: A
Explanation:
JavaScript is the programming language utilized for scripting within an SAP Analytics Cloud (SAC) story. While SAC offers various functionalities through its intuitive user interface, scripting with JavaScript provides advanced capabilities for customizing the behavior and interactivity of a story. This allows developers and power users to create highly tailored analytical applications and dashboards that go beyond standard features. For instance, JavaScript can be used to dynamically change chart properties, implement complex filtering logic, trigger data actions, or integrate with external services. Unlike analytic applications, which typically offer more extensive scripting options, storytelling in SAC focuses on enabling business users to create interactive reports with a degree of customization through embedded scripts. The scripts are executed by the web browser, leveraging its built-in JavaScript execution engine, ensuring a flexible and widely understood development environment for enhancing story functionality.
NEW QUESTION # 81
Which security features are inherent in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:
- A. Social media integration
- B. Data encryption at rest
- C. Role-based access control
- D. Built-in antivirus software
Answer: B,C
NEW QUESTION # 82
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