リアルC_BCBDC_2505問題集でSAP正確な解答2026年最新版を試そう
SAP Certified Associate C_BCBDC_2505試験練習問題集
質問 # 43
Which capabilities does SAP Analytics Cloud provide in the context of an SAP Business Data Cloud Intelligent Application?
There are 2 correct answers to this question.
Response:
- A. Data modeling
- B. Planning
- C. Visualization of insights
- D. Data storage
正解：B、C
質問 # 44
What is required to use version management in an SAP Analytics Cloud story?
- A. Optimized mode
- B. Analytic model
- C. Planning model
- D. Classic mode
正解：C
解説：
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.
質問 # 45
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 develops a custom ML model.
- C. He explores the available Intelligent Application in SAP Business Data Cloud Catalog.
- D. He reviews the details and installs the Intelligent Application.
正解：C
質問 # 46
Which operation is implemented by the Foundation Services of SAP Business Data Cloud?
- A. Execution of machine learning algorithms to generate additional insights.
- B. Storage of raw data inside a CDS view.
- C. Generation of an analytic model by adding semantic information.
- D. Data transformation and enrichment to generate a data product.
正解：D
解説：
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.
質問 # 47
What do you use to write data from a local table in SAP Datasphere to an outbound target?
- A. CSN Export
- B. Replication Flow
- C. Transformation Flow
- D. Data Flow
正解：D
解説：
To write data from a local table in SAP Datasphere to an outbound target, you primarily use a Data Flow. A Data Flow in SAP Datasphere is a powerful tool designed for comprehensive data integration and transformation. It allows you to extract data from various sources (including local tables within Datasphere), perform various transformations (like joins, aggregations, filtering, scripting), and then load the processed data into a specified target. This target can be another local table, a remote table, or an outbound target like an external database or a file system. While a Replication Flow (C) is used for ingesting data into Datasphere, and a Transformation Flow (A) is not a standalone artifact for outbound writes (often part of a Data Flow), the Data Flow provides the complete framework for extracting, transforming, and loading data, including sending it to external destinations.
質問 # 48
What are some use cases for an SAP Datasphere task chain? Note: There are 3 correct answers to this question.
- A. Upload a CSV file into a local table
- B. Execute a data action for a planning function
- C. Execute a Replication Flow and Transformation Flow in sequence
- D. Create or Refresh View Persistency
- E. Run an Open SQL Schema Procedure
正解：C、D、E
解説：
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.
質問 # 49
Which of the following are features of SAP Business Data Cloud's data integration capabilities?
There are 2 correct answers to this question.
Response:
- A. Real-time data replication
- B. Batch data processing
- C. Email data import
- D. Manual data entry forms
正解：A、B
質問 # 50
A company wants to enable self-service data access for analysts while maintaining centralized control over source data. Which SAP Business Data Cloud capabilities help meet these requirements?
There are 3 correct answers to this question.
Response:
- A. Role-based access management
- B. Business Builder for semantic modeling
- C. Remote table access to avoid duplication
- D. Data replication via CSV uploads
- E. Exporting data to Excel for distribution
正解：A、B、C
質問 # 51
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. SAP Datasphere
- B. SAP Business Warehouse (BW)
- C. Microsoft SharePoint
正解：A
質問 # 52
Which of the following activities does SAP Business Data Cloud cockpit support? Note: There are 2 correct answers to this question.
- A. Enhance Analytic Models
- B. Debug authorization issues
- C. Discover and activate data products
- D. Configure SAP Business Data Cloud
正解：C、D
解説：
The SAP Business Data Cloud (BDC) Cockpit serves as the central administrative and operational interface for managing the BDC environment. Among its core functionalities, it directly supports the ability to configure SAP Business Data Cloud. This includes setting up connections, managing spaces, configuring system parameters, and generally overseeing the platform's infrastructure. It provides administrators with the necessary tools to tailor the BDC environment to specific organizational needs. Additionally, the cockpit is instrumental in allowing users to discover and activate data products. Data products are pre-built, semantically rich data assets that encapsulate business logic and data from various sources, offered within the BDC ecosystem. The cockpit acts as a marketplace or catalog where users can find relevant data products, understand their content, and activate them for use in their analytics and applications. While "Enhance Analytic Models" is done in tools like SAP Datasphere's Data Builder and debugging authorization issues might involve various tools, direct configuration and data product management are key features of the BDC Cockpit.
質問 # 53
How many characters are comments limited to in SAP Analytics Cloud?
Please choose the correct answer.
Response:
- A. 10,000
- B. 0
- C. 1
- D. 2
正解：A
質問 # 54
What are the some purposes of SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:
- A. To provide a homogeneous system landscape for data, functions, and use cases
- B. To provide mainly manual data integration scenarios
- C. To act solely as a data storage solution without analytics capabilities
- D. To provide foundational services for data and analytics scenarios
正解：A、D
質問 # 55
What is the purpose of SAP Datasphere in the context of SAP Business Data Cloud?
Please choose the correct answer.
Response:
- A. To store data to create a data warehouse
- B. To transfer data to SAP Databricks for machine learning processing
- C. To extract data from the SAP source systems
- D. To add semantically rich models to prepare data for analysis
正解：D
質問 # 56
What are the styles of models?
There are 2 correct answers to this question.
Response:
- A. Planning
- B. Live
- C. On-premise
- D. Analytic
正解：A、D
質問 # 57
An international bank wants to provide regional analysts with business-ready data models without granting direct access to raw data sources. What features should be implemented?
There are 3 correct answers to this question.
Response:
- A. Direct SQL access to source systems
- B. Role-based permissions to restrict access
- C. Business Content Import from SAP NetWeaver
- D. Business Builder to define and expose semantic views
- E. Data Catalog to organize and tag shared models
正解：B、D、E
質問 # 58
How can you join two existing artifacts in SAP Datasphere? Note: There are 2 correct answers to this question.
- A. Create a graphical view, drag an artifact to the canvas, and the second one on top of the first one.
- B. Create a graphical view and select the Join node icon.
- C. Create an Analytic Model based on the first artifact and add the second artifact as the Used in property.
- D. Create an SQL view with a JOIN operation.
正解：B、D
解説：
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.
質問 # 59
What elements make up the framework for viewing data in SAP Analytics Cloud?
There are 2 correct answers to this question.
Response:
- A. Dimensions
- B. Properties
- C. Measures
- D. Allocations
正解：A、C
質問 # 60
What is a Data Product in the context of SAP Business Data Cloud?
Please choose the correct answer.
Response:
- A. A data set with predefined and stable structure and interfaces.
- B. A software application that extracts and transforms data.
- C. A cloud-based data storage for large datasets.
- D. A machine learning algorithm for generating insights.
正解：A
質問 # 61
What source system can you connect to with an SAP Analytics Cloud live connection that is provided by SAP BDC?
- A. SAP SuccessFactors
- B. SAP Business ByDesign Analytics
- C. SAP Datasphere
- D. SAP ERP
正解：C
解説：
Within the context of SAP Business Data Cloud (BDC), the primary and most central source system for an SAP Analytics Cloud (SAC) live connection is SAP Datasphere. SAP Datasphere serves as the comprehensive data foundation for SAP's business data fabric, integrating data from various SAP and non-SAP sources, and providing a harmonized, semantically rich data layer. SAP BDC is built upon and extends the capabilities of SAP Datasphere, making it the strategic hub for analytics and data management. Therefore, to ensure data consistency, governance, and real-time access to the integrated and harmonized business data managed within the BDC ecosystem, SAP Datasphere is the recommended and primary live connection source for SAC. While SAC can connect to other SAP systems like S/4HANA or BW, within the specific architecture of SAP BDC, SAP Datasphere plays the pivotal role as the integrated data platform.
質問 # 62
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. Import a source as a remote table and schedule replication
- B. Use a replication flow to fill a local table
- C. Use a data flow to fill a target table
- D. Import a source as a remote table without taking any further action
- E. Create a graphical view based on a remote table for that source object and persist the view data
正解：A、B、C
質問 # 63
What is the result of activating a Data Package in the SAP Business Data Cloud cockpit?
Please choose the correct answer.
Response:
- A. The availability of the corresponding Data Products.
- B. The deployment of a new SAP Datasphere model.
- C. The removal of an existing Data Package.
- D. The creation of a new Intelligent Application.
正解：A
質問 # 64
What features does the SAP Analytics Cloud calendar provide?
Please choose the correct answer.
Response:
- A. Assign Reviewer
- B. Schedule a file
- C. Create a project plan
- D. Collaborate
正解：D
質問 # 65
For a model in SAP Analytics Cloud you are using a live connection. Where is the data stored?
- A. SAP Analytics Cloud model
- B. Public dataset
- C. Embedded dataset
- D. Source system
正解：D
解説：
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.
質問 # 66
You want to use the embedded help function in SAP Analytics Cloud to support you. What is offered by the embedded help?
There are 2 correct answers to this question.
Response:
- A. Guided help tutorials
- B. Live chat with experts
- C. Videos
- D. Chatbot
正解：A、C
質問 # 67
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