リアルSAP C_BCBDC_2505試験問題集には正解99問題と解答があります
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質問 # 13
Which of the following best describes the Data Flow feature in SAP Business Data Cloud?
Please choose the correct answer.
Response:
- A. A process for managing user security and compliance
- B. A graphical tool for designing ETL pipelines
- C. A predefined business content library
- D. A tool for visualizing dashboards in SAP Analytics Cloud
正解：B
質問 # 14
What are the types of datasets in SAP Analytics Cloud?
There are 2 correct answers to this question.
Response:
- A. Public
- B. Live
- C. Import
- D. Embedded
正解：A、D
質問 # 15
The Data Access Language option determines the preferred language for which areas of SAP Analytics Cloud?
There are 2 correct answers to this question.
Response:
- A. Text
- B. Live Data
- C. Help
- D. Imported Data
正解：A、B
質問 # 16
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. Data replication via CSV uploads
- D. Exporting data to Excel for distribution
- E. Remote table access to avoid duplication
正解：A、B、E
質問 # 17
What are some use cases for an SAP Datasphere task chain? Note: There are 3 correct answers to this question.
- A. Execute a Replication Flow and Transformation Flow in sequence
- B. Execute a data action for a planning function
- C. Run an Open SQL Schema Procedure
- D. Create or Refresh View Persistency
- E. Upload a CSV file into a local table
正解：A、C、D
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 # 18
Which of the following objects are generated during the installation of an Intelligent Application and can be copied as part of a scenario for customer-specific enhancements?
There are 2 correct answers to this question.
Response:
- A. SAP Datasphere Ingestion Space
- B. Databricks machine learning algorithm
- C. SAP Datasphere Intelligent Application Space with its artifacts
- D. An SAP Analytics Cloud Story
正解：C、D
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. Email data sharing
- B. Data Marketplace
- C. Role-based access control
- D. Public data repositories
- E. Data Catalog
正解：B、C、E
質問 # 20
Your users need a story where the pages adjust the size and location of the elements on the page depending on the device, or size of device, being used to view the story. What page type should you use?
Please choose the correct answer.
Response:
- A. Grid
- B. Responsive
- C. Canvas
正解：B
質問 # 21
What is the main storage type of the object store in SAP Business Data Cloud?
- A. SAP BW/4HANA DataStore objects (advanced)
- B. SAP HANA extended tables
- C. SAP BW/4HANA InfoObjects
- D. SAP HANA data lake files
正解：D
解説：
The primary storage type for the object store within the SAP Business Data Cloud (BDC) architecture is SAP HANA data lake files. SAP BDC is designed to handle vast amounts of diverse data, including semi-structured and unstructured data, which is efficiently stored in a data lake. The SAP HANA data lake, specifically its file storage component, provides a highly scalable and cost-effective solution for retaining raw, historical, and detailed data. This contrasts with traditional relational databases (like SAP HANA extended tables) or data warehousing constructs (like BW/4HANA DataStore objects or InfoObjects), which are optimized for structured, aggregated data and specific query patterns. The object store's reliance on data lake files in BDC underscores its capability to manage enterprise-wide data regardless of its structure, making it suitable for a wide range of analytical workloads, including those involving machine learning and advanced analytics where raw data access is crucial.
質問 # 22
Which capability allows combining SAP and non-SAP data without physical replication?
Please choose the correct answer.
Response:
- A. Flat File Upload
- B. Data Marketplace
- C. ETL Scheduling
- D. Remote Tables
正解：D
質問 # 23
What is the role of "Spaces" in SAP Business Data Cloud?
Please choose the correct answer.
Response:
- A. Define and isolate resources for specific teams or projects
- B. Store logs and audit information
- C. Manage user accounts across SAP applications
- D. Deploy machine learning models
正解：A
質問 # 24
For which purpose would you create a Graphical View?
Please choose the correct answer.
Response:
- A. To use fuzzy logic for finding the best matching value from an existing table
- B. To combine existing tables by unions and joins
- C. To define an SQL script that derives a result based on exiisting tables
- D. To upload data to an existing table
正解：C
質問 # 25
What are the benefits of using the Data Marketplace in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:
- A. Access to external data providers
- B. Automated data cleansing
- C. Built-in email marketing tools
- D. Enhanced data collaboration
正解：A、D
質問 # 26
What is a key benefit of using SAP Business Data Cloud for data governance?
Please choose the correct answer.
Response:
- A. Enhanced data security and compliance
- B. Real-time data visualization
- C. Reduced data storage costs
- D. Automated data entry
正解：A
質問 # 27
Which components support semantic enrichment of data in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:
- A. Business Builder
- B. Data Marketplace
- C. Calculated Measures
- D. Data Monitor
正解：A、C
質問 # 28
When scheduling a publication, what are the two file type options?
There are 2 correct answers to this question.
Response:
- A. .csv
- B. .txt
- C. .pptx
- D. .pdf
正解：C、D
質問 # 29
Which integration scenarios of SAP BW with SAP Business Data Cloud are supported?
There are 2 correct answers to this question.
Response:
- A. Provisioning Data Products from SAP BW/4HANA On-Premise Infoproviders.
- B. Onboarding SAP BW 7.5 Cloud, private edition queries as SAP Business Data Cloud Analytical Models.
- C. Using SAP BW/4HANA Cloud, private edition queries as source for SAP Business Data Cloud Intelligent Applications.
- D. Extract data from legacy ECC systems through SAP Datasphere, SAP BW bridge.
正解：B、D
質問 # 30
What are the working modes of a story?
There are 3 correct answers to this question.
Response:
- A. Data
- B. Presentation
- C. Story
- D. View
- E. Edit
正解：B、D、E
質問 # 31
What is a key function of the Business Catalog in SAP Business Data Cloud?
Please choose the correct answer.
Response:
- A. To store backups of all business data models
- B. To register, document, and reuse business entities and models
- C. To perform real-time analytics directly on operational systems
- D. To import legacy data from non-SAP systems
正解：B
質問 # 32
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. ABAP
- B. Wrangling Expression Language
- C. Python
- D. JavaScript
正解：D
解説：
JavaScript is the programming language utilized for scripting within an SAP Analytics Cloud (SAC) story. While SAC offers various functionalities through its intuitive user interface, scripting with JavaScript provides advanced capabilities for customizing the behavior and interactivity of a story. This allows developers and power users to create highly tailored analytical applications and dashboards that go beyond standard features. For instance, JavaScript can be used to dynamically change chart properties, implement complex filtering logic, trigger data actions, or integrate with external services. Unlike analytic applications, which typically offer more extensive scripting options, storytelling in SAC focuses on enabling business users to create interactive reports with a degree of customization through embedded scripts. The scripts are executed by the web browser, leveraging its built-in JavaScript execution engine, ensuring a flexible and widely understood development environment for enhancing story functionality.
質問 # 33
Which of the following is true about data access control in SAP Business Data Cloud?
Please choose the correct answer.
Response:
- A. Access is managed using roles and policies
- B. There is no support for data-level authorization
- C. Access can be assigned only at the workspace level
- D. All users have full read-write access by default
正解：A
質問 # 34
Which of the following activities does SAP Business Data Cloud cockpit support? Note: There are 2 correct answers to this question.
- A. Debug authorization issues
- B. Configure SAP Business Data Cloud
- C. Discover and activate data products
- D. Enhance Analytic Models
正解：B、C
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 # 35
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SAP C_BCBDC_2505認定リアル2025年最新の模擬試験：https://drive.google.com/open?id=1rqVQlGNDsrWBWbLjsbHt6vwmlWtVc2VY