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[General] SAP C_BCBDC_2505 Exam | C_BCBDC_2505 Exam Fees - High-quality C_BCBDC_2505 Unlim

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【General】 SAP C_BCBDC_2505 Exam | C_BCBDC_2505 Exam Fees - High-quality C_BCBDC_2505 Unlim

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SAP C_BCBDC_2505 Exam Syllabus Topics:
TopicDetails
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.
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.
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 (Q35-Q40):NEW QUESTION # 35
Which operation is implemented by the Foundation Services of SAP Business Data Cloud?
  • A. Storage of raw data inside a CDS view.
  • B. Data transformation and enrichment to generate a data product.
  • C. Generation of an analytic model by adding semantic information.
  • D. Execution of machine learning algorithms to generate additional insights.
Answer: B
Explanation:
The Foundation Services component of SAP Business Data Cloud (BDC) is responsible for orchestrating the fundamental processes of data preparation and productization. Specifically, a key operation implemented by Foundation Services is data transformation and enrichment to generate a data product. Foundation Services takes raw data ingested from various business applications and applies necessary transformations, cleanses it, and enriches it with additional context or calculated attributes. This process is crucial for creating high-quality, consumable data products, which are curated and semantically rich datasets designed for specific business use cases. While machine learning algorithms are executed by Intelligent Applications (which consume these data products), and analytic models are built in SAP Datasphere (which is part of the BDC ecosystem), Foundation Services focuses on the foundational work of preparing and productizing the data itself, ensuring it's ready for advanced analytics and consumption.

NEW QUESTION # 36
What are the some 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 a homogeneous system landscape for data, functions, and use cases
  • C. To provide foundational services for data and analytics scenarios
  • D. To act solely as a data storage solution without analytics capabilities
Answer: B,C

NEW QUESTION # 37
What scripting language is used in the advanced story interface?
Please choose the correct answer.
Response:
  • A. HTML5
  • B. Python
  • C. JavaScript
Answer: C

NEW QUESTION # 38
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 # 39
How can you join two existing artifacts in SAP Datasphere? Note: There are 2 correct answers to this question.
  • A. Create an SQL view with a JOIN operation.
  • B. Create a graphical view, drag an artifact to the canvas, and the second one on top of the first one.
  • C. Create an Analytic Model based on the first artifact and add the second artifact as the Used in property.
  • D. Create a graphical view and select the Join node icon.
Answer: A,D
Explanation:
In SAP Datasphere, there are distinct methods for joining two existing artifacts, enabling powerful data integration. One common and intuitive approach is to create a graphical view and select the Join node icon (B). In the graphical view editor, you can drag your source artifacts (tables or views) onto the canvas, and then use the dedicated "Join" node to define the join conditions between them, visually mapping the columns and selecting the join type (e.g., inner, left outer). This method is highly visual and user-friendly. Another powerful and flexible way to join artifacts is to create an SQL view with a JOIN operation (C). For users comfortable with SQL, an SQL view allows for direct coding of complex join conditions, including various join types and advanced filtering, offering fine-grained control over the data integration logic. Both methods achieve the goal of combining data from multiple artifacts into a single result set, tailored to different user preferences and complexity requirements.

NEW QUESTION # 40
......
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