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[General] SAP C-BCBDC-2505 Web-Based Practice Program

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【General】 SAP C-BCBDC-2505 Web-Based Practice Program

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SAP C-BCBDC-2505 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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.
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 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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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q92-Q97):NEW QUESTION # 92
Which steps are executed when an SAP Business Data Cloud Intelligent Application is installed? Note: There are 2 correct answers to this question.
  • A. Connection of SAP Datasphere with SAP Analytics Cloud
  • B. Execution of a machine-learning algorithm
  • C. Creation of a dashboard for visualization
  • D. Replication of data from the business applications to Foundation Services
Answer: A,D
Explanation:
When an SAP Business Data Cloud (BDC) Intelligent Application is installed, two key foundational steps are executed to ensure its operational readiness. Firstly, there is the connection of SAP Datasphere with SAP Analytics Cloud (SAC). This establishes the vital link that allows the intelligent application's analytical models, which reside and are managed within SAP Datasphere, to be consumed and visualized in SAC. SAC serves as the front-end for analytical consumption, enabling users to interact with the insights generated by the intelligent application. Secondly, the installation process involves the replication of data from the business applications to Foundation Services. Foundation Services act as the initial landing zone for raw business data within the BDC architecture. This data replication ensures that the intelligent application has access to the necessary operational data from source systems to perform its functions, whether it involves data processing, enrichment, or feeding machine learning models. These steps are crucial for the intelligent application to ingest, process, and ultimately present valuable business insights.

NEW QUESTION # 93
You want to combine external data with internal data via product ID. Although the data may be inconsistent, such as the external data contains the letter "O" where the internal data contains the digit 0, you still want to combine them. Which artifact should you use for matching?
  • A. Entity Relationship Model
  • B. Intelligent Lookup
  • C. Analytic Model
  • D. Graphical View
Answer: B
Explanation:
When faced with the challenge of combining data from different sources where the matching keys (like "Product ID") are inconsistent or contain variations (e.g., "O" vs. "0"), the recommended artifact in SAP Datasphere for such fuzzy or approximate matching scenarios is an Intelligent Lookup. An Intelligent Lookup (D) leverages machine learning capabilities to identify and map records that are semantically similar but not exact matches. Unlike standard joins in graphical views or SQL views which require precise key matches, Intelligent Lookups can handle data quality issues, typos, and variations, allowing you to successfully link disparate records that would otherwise be missed. This is particularly valuable when integrating data from external systems or legacy sources where perfect data standardization is not feasible, ensuring a more comprehensive and accurate combined dataset for analysis.

NEW QUESTION # 94
A healthcare organization is using SAP Business Data Cloud and needs to maintain an audit trail of all changes made to financial data models. Which features help achieve this?
There are 3 correct answers to this question.
Response:
  • A. Business Catalog publication
  • B. Lineage tracking
  • C. Version history
  • D. Manual logs in Excel
  • E. Change history view
Answer: B,C,E

NEW QUESTION # 95
What are the key characteristics of SAP Datasphere?
Please select all the correct answers that apply.
Response:
  • A. End-to-end Integration: Consumption of data from any source in SAP Analytics Cloud
  • B. Elasticity: A 'pay for what you use' concept
  • C. Collaboration: Enablement of both enterprise IT users and line of business users
  • D. Performance: Leverage the power of SAP HANA Cloud
  • E. Deployment: Free choice between on premise or private cloud
Answer: A,B,C,D

NEW QUESTION # 96
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 # 97
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