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[General] Quiz SAP - C-BCBDC-2505 - Trustable Reliable SAP Certified Associate - SAP Busin

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【General】 Quiz SAP - C-BCBDC-2505 - Trustable Reliable SAP Certified Associate - SAP Busin

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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 (Q23-Q28):NEW QUESTION # 23
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 Datasphere
  • C. SAP Business Warehouse (BW)
Answer: B

NEW QUESTION # 24
What are the key characteristics of SAP Datasphere?
Please select all the correct answers that apply.
Response:
  • A. Collaboration: Enablement of both enterprise IT users and line of business users
  • B. End-to-end Integration: Consumption of data from any source in SAP Analytics Cloud
  • C. Elasticity: A 'pay for what you use' concept
  • 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 # 25
Which of the following statements about SAP Analytics Cloud compass are true?
There are 2 correct answers to this question.
Response:
  • A. Compass simulations provide answers when you what to know the probable impact if there are uncertainties to driver performance.
  • B. Compass simulations require historical data to analyze trends.
  • C. Compass simulations provide answers when you want to know what will happen in the future if the current trend persists.
  • D. You can use time series forecasts and compass simulations together.
Answer: A,D

NEW QUESTION # 26
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 story
  • B. Allow model import
  • C. Refresh the data source
  • D. Schedule the import
Answer: D
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 # 27
What is required to use version management in an SAP Analytics Cloud story?
  • A. Optimized mode
  • B. Classic mode
  • C. Planning model
  • D. Analytic model
Answer: C
Explanation:
To leverage version management capabilities within an SAP Analytics Cloud (SAC) story, it is a fundamental requirement that the story is built on a planning model. Version management is a core feature specifically designed for planning functionalities. It enables users to create, manage, and compare different scenarios or iterations of data, such as "Actual," "Budget," "Forecast," or various planning versions. This is critical for budgeting, forecasting, and what-if analysis, allowing planners to work on different data sets concurrently and track changes over time. While analytic models are used for general reporting and analysis, they do not inherently support the robust version management features that are integral to planning processes. Therefore, if you intend to utilize version management to compare different data scenarios or manage planning cycles, your SAC story must be connected to a planning model.

NEW QUESTION # 28
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