2025年最新のC-BCBDC-2505試験問題集で最近更新された99問題
SAP C-BCBDC-2505リアル2025年最新のブレーン問題集で模擬試験問題集
質問 # 14
Which entity can be used as a direct source of an SAP Datasphere analytic model?
- A. Business entities of semantic type Dimension
- B. Tables of semantic type Hierarchy
- C. Views of semantic type Fact
- D. Remote tables of semantic type Text
正解：C
解説：
An SAP Datasphere analytic model is specifically designed for multi-dimensional analysis, and as such, it requires a central entity that contains the measures (key figures) to be analyzed and links to descriptive dimensions. Therefore, a View of semantic type Fact (B) is the most appropriate and commonly used direct source for an analytic model. A "Fact" view typically represents transactional data, containing measures (e.g., sales amount, quantity) and foreign keys that link to dimension views (e.g., product, customer, date). While "Dimension" type entities (A) provide descriptive attributes and are linked to the analytic model, they are not the direct source of the model itself. Tables of semantic type Hierarchy (C) are used within dimensions, and remote tables of semantic type Text (D) typically provide text descriptions for master data, not the core fact data for an analytic model. The Fact view serves as the central point for an analytic model's measures and its connections to all relevant dimensions.
質問 # 15
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. Use a data flow to fill a target table
- C. Use a replication flow to fill a local table
- D. Import a source as a remote table and schedule replication
- E. Import a source as a remote table without taking any further action
正解：B、C、D
質問 # 16
Which of the following best describes the Data Flow feature in SAP Business Data Cloud?
Please choose the correct answer.
Response:
- A. A tool for visualizing dashboards in SAP Analytics Cloud
- B. A process for managing user security and compliance
- C. A predefined business content library
- D. A graphical tool for designing ETL pipelines
正解：D
質問 # 17
What are the key characteristics of SAP Datasphere?
Please select all the correct answers that apply.
Response:
- A. Performance: Leverage the power of SAP HANA Cloud
- B. Deployment: Free choice between on premise or private cloud
- C. End-to-end Integration: Consumption of data from any source in SAP Analytics Cloud
- D. Collaboration: Enablement of both enterprise IT users and line of business users
- E. Elasticity: A 'pay for what you use' concept
正解：A、C、D、E
質問 # 18
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 # 19
An organization aims to enhance data collaboration between departments and external partners while maintaining control over data access. Which SAP Business Data Cloud components should they leverage?
There are 3 correct answers to this question.
Response:
- A. Role-based access control
- B. Data Catalog
- C. Public data repositories
- D. Email data sharing
- E. Data Marketplace
正解：A、B、E
質問 # 20
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. Version history
- B. Lineage tracking
- C. Business Catalog publication
- D. Change history view
- E. Manual logs in Excel
正解：A、B、D
質問 # 21
What is a purpose of SAP Datasphere in the context of SAP Business Data Cloud?
- A. To provide analytic models for intelligent applications
- B. To define a data product
- C. To maintain the system landscape for SAP Business Data Cloud
- D. To install an intelligent application
正解：A
解説：
In the context of SAP Business Data Cloud (BDC), SAP Datasphere plays a pivotal role primarily to provide analytic models for intelligent applications. SAP Datasphere acts as the unified data fabric and central data layer within the BDC architecture. It is where data from various sources is integrated, harmonized, and semantically enriched. The analytical models, which are the foundation for reporting, dashboards, and machine learning initiatives within intelligent applications, are built and managed within SAP Datasphere. These models transform raw, integrated data into business-ready information, providing the necessary structure and context for consumption by SAP Analytics Cloud and other intelligent applications. While data products are defined using artifacts within Datasphere, and the overall system landscape is maintained through the BDC Cockpit, the core purpose of Datasphere in this ecosystem is its capability to deliver robust, high-quality analytical models to drive business insights for intelligent applications.
質問 # 22
What are some features of the out-of-the-box reporting with intelligent applications in SAP Business Data Cloud? Note: There are 2 correct answers to this question.
- A. Services for transforming and enriching data
- B. AI-based suggestions for intelligent applications in the SAP Business Data Cloud Cockpit
- C. Automated data provisioning from business application to dashboard
- D. Manual creation of artifacts across all involved components
正解：A、C
解説：
The out-of-the-box reporting capabilities with intelligent applications in SAP Business Data Cloud (BDC) are designed to streamline the analytical process and deliver immediate value. Two significant features include automated data provisioning from business application to dashboard. This means that intelligent applications handle the end-to-end flow of data, from its source in operational systems, through processing in BDC, and finally to visualization in dashboards, with minimal manual intervention. This automation ensures timely and consistent data delivery for reporting. Additionally, these intelligent applications leverage services for transforming and enriching data. As part of the pre-built logic within these applications, data is automatically transformed (e.g., aggregated, filtered) and enriched (e.g., adding calculated KPIs, combining with master data) to make it immediately suitable for reporting and analysis. This reduces the need for manual data manipulation by users, providing ready-to-consume insights.
質問 # 23
When you are scheduling, to how many non-SAP Analytics Cloud recipients can you distribute?
Please choose the correct answer.
Response:
- A. 0
- B. 1
- C. 2
- D. 3
正解：D
質問 # 24
What are the prerequisites for loading data using Data Provisioning Agent (DP Agent) for SAP Datasphere? Note: There are 2 correct answers to this question.
- A. The DP Agent is configured for a dedicated space in SAP Datasphere.
- B. The Cloud Connector is installed on a local host.
- C. The data provisioning adapter is installed.
- D. The DP Agent is installed and configured on a local host.
正解：C、D
解説：
To load data into SAP Datasphere using the Data Provisioning Agent (DP Agent), two crucial prerequisites must be met. Firstly, the DP Agent must be installed and configured on a local host (A). The DP Agent acts as a bridge between your on-premise data sources and SAP Datasphere in the cloud. It needs to be deployed on a server within your network that has access to the source systems you wish to connect. Secondly, the relevant data provisioning adapter must be installed (B) within the DP Agent framework. Adapters are specific software components that enable the DP Agent to connect to different types of source systems (e.g., SAP HANA, Oracle, Microsoft SQL Server, filesystems). Without the correct adapter, the DP Agent cannot communicate with and extract data from your chosen source. While the Cloud Connector (C) is often used for secure access to SAP backend systems in the cloud, it's not a direct prerequisite for the DP Agent itself for all data sources. Configuring the DP Agent for a specific space (D) is a step after the initial installation and adapter setup.
質問 # 25
Which of the following statements about SAP Analytics Cloud compass are true?
There are 2 correct answers to this question.
Response:
- A. You can use time series forecasts and compass simulations together.
- 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. Compass simulations provide answers when you what to know the probable impact if there are uncertainties to driver performance.
正解：A、D
質問 # 26
What are the benefits of using the Data Marketplace in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:
- A. Built-in email marketing tools
- B. Enhanced data collaboration
- C. Access to external data providers
- D. Automated data cleansing
正解：B、C
質問 # 27
What can help prevent data input for invalid member combinations across dimensions?
Please choose the correct answer.
Response:
- A. Data Actions
- B. Data Locking
- C. Validation Rules
正解：C
質問 # 28
What are the primary purposes of SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:
- A. To provide foundational services for data and analytics scenarios.
- B. To provide mainly manual data integration scenarios.
- C. To provide a homogeneous system landscape for data, functions, and use cases.
- D. To act solely as a data storage solution without analytics capabilities.
正解：A、C
質問 # 29
In an SAP Analytics Cloud planning data model, which dimensions are included by default? Note: There are 2 correct answers to this question.
- A. Entity
- B. Date
- C. Version
- D. Organization
正解：B、C
解説：
When creating a planning data model in SAP Analytics Cloud (SAC), certain dimensions are included by default to facilitate common planning scenarios. The two key dimensions automatically present are Version and Date. The Version dimension is crucial for distinguishing between different planning scenarios, such as "Actual," "Budget," "Forecast," or "Plan 2025," allowing users to compare and manage various iterations of their planning data. The Date dimension, on the other hand, is essential for time-based planning and analysis, enabling data entry, aggregation, and reporting across different time granularities like years, quarters, months, or days. These default dimensions provide a robust framework for financial and operational planning, serving as foundational elements around which planning activities are structured, and ensuring consistency and comparability across different planning versions and time periods.
質問 # 30
Which features of Business Builder enhance semantic modeling?
There are 2 correct answers to this question.
Response:
- A. Create calculated measures
- B. Load CSV files directly
- C. Define business entities
- D. Assign email notifications
正解：A、C
質問 # 31
What are the styles of models?
There are 2 correct answers to this question.
Response:
- A. Planning
- B. Analytic
- C. Live
- D. On-premise
正解：A、B
質問 # 32
What are the working modes of a story?
There are 3 correct answers to this question.
Response:
- A. View
- B. Presentation
- C. Story
- D. Edit
- E. Data
正解：A、B、D
質問 # 33
Which use cases are addressed by SAP Business Data Cloud's Data Catalog?
There are 2 correct answers to this question.
Response:
- A. Transaction processing
- B. Metadata discovery
- C. API publishing
- D. Data classification and tagging
正解：B、D
質問 # 34
A logistics company aims to integrate operational data from SAP S/4HANA and enrich it with supplier metrics. They want to avoid replicating the data and maintain live updates. Which combination of features should be used?
There are 3 correct answers to this question.
Response:
- A. Business Builder for semantic modeling
- B. Data replication through CSV
- C. Manual KPI calculation in spreadsheets
- D. Role-based data access
- E. Remote Tables from SAP S/4HANA
正解：A、D、E
質問 # 35
What features are supported by the SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
- A. Input controls
- B. Calculated measures
- C. Charts
- D. Conditional formatting
- E. Linked dimensions
正解：A、B、D
解説：
The SAP Analytics Cloud Data Analyzer is designed for ad-hoc data exploration and analysis, providing a focused environment for users to quickly derive insights. Among its key supported features are calculated measures, which allow users to create new metrics on the fly based on existing data, enabling deeper analysis without modifying the underlying model. Input controls are also supported, providing interactive filtering capabilities that allow users to dynamically adjust the data displayed based on specific criteria, enhancing the flexibility of their analysis. Furthermore, conditional formatting is a valuable feature that enables users to apply visual styling (e.g., colors, icons) to data points based on defined rules, making it easier to identify trends, outliers, or specific conditions at a glance. While charts and linked dimensions are integral to full stories, the Data Analyzer's strength lies in its immediate, flexible analytical capabilities for a single data source.
質問 # 36
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 develops a custom ML model.
- B. He shares the Data Product with SAP Databricks.
- C. He reviews the details and installs the Intelligent Application.
- D. He explores the available Intelligent Application in SAP Business Data Cloud Catalog.
正解：D
質問 # 37
Why would you choose the "Validate Remote Tables" feature in the SAP Datasphere repository explorer?
- A. To detect if remote tables are defined that are not used in Views
- B. To test if data has been replicated completely
- C. To identify structure updates of the remote sources
- D. To preview data of remote tables
正解：C
解説：
The "Validate Remote Tables" feature in the SAP Datasphere repository explorer is primarily used to identify structure updates of the remote sources. When a remote table is created in Datasphere, it establishes a metadata connection to a table or view in an external source system. Over time, the structure of the source object (e.g., column additions, deletions, data type changes) might change. The "Validate Remote Tables" function allows you to compare the metadata currently stored in Datasphere for the remote table with the actual, current metadata in the source system. If discrepancies are found, Datasphere can highlight these structural changes, prompting you to update the remote table's definition within Datasphere to match the source. This ensures that views and data flows built on these remote tables continue to function correctly and align with the underlying source structure, preventing data access issues or incorrect data interpretations.
質問 # 38
Which operation is implemented by the Foundation Services of SAP Business Data Cloud?
- A. Data transformation and enrichment to generate a data product.
- B. Storage of raw data inside a CDS view.
- C. Execution of machine learning algorithms to generate additional insights.
- D. Generation of an analytic model by adding semantic information.
正解：A
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 # 39
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SAP C-BCBDC-2505 認定試験の出題範囲：
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C-BCBDC-2505試験問題 リアルC-BCBDC-2505練習問題集：https://drive.google.com/open?id=1LDbKd-h03GXPTr2uTzamWATVp5E3JpnK