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[General] Certificate C-BCBDC-2505 Exam | Test C-BCBDC-2505 Study Guide

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【General】 Certificate C-BCBDC-2505 Exam | Test C-BCBDC-2505 Study Guide

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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 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 3
  • 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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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q69-Q74):NEW QUESTION # 69
What is the result of activating a Data Package in the SAP Business Data Cloud cockpit?
Please choose the correct answer.
Response:
  • A. The creation of a new Intelligent Application.
  • B. The availability of the corresponding Data Products.
  • C. The deployment of a new SAP Datasphere model.
  • D. The removal of an existing Data Package.
Answer: B

NEW QUESTION # 70
For a model in SAP Analytics Cloud you are using a live connection. Where is the data stored?
  • A. Public dataset
  • B. SAP Analytics Cloud model
  • C. Source system
  • D. Embedded dataset
Answer: C
Explanation:
When an SAP Analytics Cloud (SAC) model utilizes a live connection, the data is not stored within SAP Analytics Cloud itself. Instead, the data resides entirely in the source system. This means that SAC directly queries the data from the connected system (e.g., SAP HANA, SAP BW, SAP S/4HANA, or SAP Datasphere) in real-time every time a user interacts with the story or application. Only metadata, such as dimension definitions and measure aggregations, is stored in SAC. This approach offers several significant advantages: it ensures that users always work with the most current data, eliminates the need for data replication, and often addresses data privacy and security concerns by keeping sensitive data within the customer's secure landscape. The "live" nature means that any changes in the source system are immediately reflected in SAC.

NEW QUESTION # 71
What features does the SAP Analytics Cloud calendar provide?
Please choose the correct answer.
Response:
  • A. Create a project plan
  • B. Collaborate
  • C. Assign Reviewer
  • D. Schedule a file
Answer: B

NEW QUESTION # 72
Which of the following data source objects can be used for an SAP Datasphere Replication Flow? Note: There are 2 correct answers to this question.
  • A. Google Big Query dataset
  • B. MS Azure SQL table
  • C. ABAP CDS view
  • D. Oracle database table
Answer: C,D
Explanation:
SAP Datasphere Replication Flows are designed for efficient and continuous data transfer from source systems into Datasphere. For these flows, specific types of data source objects are supported to ensure robust and reliable replication. Two common and highly supported data source objects are an ABAP CDS view (Core Data Services view) and an Oracle database table. ABAP CDS views are particularly relevant for replicating data from SAP source systems (like SAP S/4HANA or SAP ERP), as they provide a semantically rich and optimized way to access business data. Oracle database tables represent a broad category of third-party relational databases from which data can be replicated. While Datasphere offers connectivity to various cloud data warehouses like Google BigQuery or MS Azure SQL for virtual access or snapshotting, Replication Flows are typically used for continuous, high-volume data ingestion from operational databases and SAP systems using their native database tables or views like CDS views.

NEW QUESTION # 73
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. Import a source as a remote table without taking any further action
  • D. Use a data flow to fill a target table
  • E. Use a replication flow to fill a local table
Answer: B,D,E

NEW QUESTION # 74
......
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