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[General] SAP C-BCBDC-2505 Free Practice - Exam C-BCBDC-2505 Course

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【General】 SAP C-BCBDC-2505 Free Practice - Exam C-BCBDC-2505 Course

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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 (Q79-Q84):NEW QUESTION # 79
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 # 80
Which of the following options will duplicate data to SAP HANA cloud under SAP Datasphere, based on data from an external source object?
There are 3 correct answers to this question.
Response:
  • A. Create a graphical view based on a remote table for that source object and persist the view data
  • B. Import a source as a remote table and schedule replication
  • C. Use a data flow to fill a target table
  • D. Use a replication flow to fill a local table
  • E. Import a source as a remote table without taking any further action
Answer: B,C,D

NEW QUESTION # 81
What is the first action Allen (Business Analyst) takes when Natalie (Chief Finance Officer) reaches out to him for insights on working capital?
Please choose the correct answer.
Response:
  • A. He shares the Data Product with SAP Databricks.
  • B. He explores the available Intelligent Application in SAP Business Data Cloud Catalog.
  • C. He reviews the details and installs the Intelligent Application.
  • D. He develops a custom ML model.
Answer: B

NEW QUESTION # 82
In the SAP Analytics Cloud Catalog, what access do you have to the files?
Please choose the correct answer.
Response:
  • A. View
  • B. Read/Write
  • C. Edit
Answer: A

NEW QUESTION # 83
What are some use cases for an SAP Datasphere task chain? Note: There are 3 correct answers to this question.
  • A. Create or Refresh View Persistency
  • B. Execute a Replication Flow and Transformation Flow in sequence
  • C. Upload a CSV file into a local table
  • D. Run an Open SQL Schema Procedure
  • E. Execute a data action for a planning function
Answer: A,B,D
Explanation:
SAP Datasphere task chains are powerful tools for orchestrating and automating sequences of operations, making them ideal for managing complex data pipelines and recurring processes. One key use case is to Create or Refresh View Persistency (A). If you have views for which you want to persist the data (materialize them into tables) for performance or specific analytical needs, a task chain can automate the scheduled recreation or refresh of these persistent views. Another common use case is to Execute a Replication Flow and Transformation Flow in sequence (C). This allows you to define a process where data is first replicated from a source system into Datasphere, and then immediately followed by transformation steps to cleanse, enrich, or aggregate that data, ensuring a fully automated end-to-end data preparation. Furthermore, task chains can be used to Run an Open SQL Schema Procedure (D). This provides flexibility to integrate custom SQL logic or stored procedures into an automated workflow, enabling advanced data manipulation or administrative tasks. Uploading a CSV file (B) is typically a manual import action, and executing a data action for a planning function (E) relates to planning models, not general Datasphere task chains.

NEW QUESTION # 84
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