[Dec 05, 2025] Free SAP C_BCBDC_2505 Exam Questions & Answer [Q43-Q63]

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[Dec 05, 2025] Free SAP C_BCBDC_2505 Exam Questions and Answer

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NEW QUESTION # 43
Which components support semantic enrichment of data in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

  • A. Data Monitor
  • B. Data Marketplace
  • C. Calculated Measures
  • D. Business Builder

Answer: C,D


NEW QUESTION # 44
How can you create a local table with a custom name in SAP Datasphere? Note: There are 2 correct answers to this question.

  • A. By creating an intelligent lookup
  • B. By creating a persistent snapshot of a view
  • C. By importing a CSV file
  • D. By adding an output of a data flow

Answer: C,D

Explanation:
In SAP Datasphere, there are several ways to create a local table with a custom name, providing flexibility for data management. Two common methods are by importing a CSV file and by adding an output of a data flow. When you import a CSV file, Datasphere allows you to specify a custom name for the new local table that will store the imported data. This is a quick and straightforward way to bring external, flat-file data into Datasphere. Secondly, a data flow in Datasphere allows you to define a sequence of operations (e.g., transformations, aggregations) and write the processed data to a target. When configuring the output of a data flow, you can specify a new local table and provide it with a custom name. This method is ideal for creating structured tables as a result of complex data integration or transformation processes. These options ensure that users can create and name tables according to their specific data modeling and organizational requirements.


NEW QUESTION # 45
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. Automated data provisioning from business application to dashboard
  • B. Manual creation of artifacts across all involved components
  • C. Services for transforming and enriching data
  • D. AI-based suggestions for intelligent applications in the SAP Business Data Cloud Cockpit

Answer: A,C

Explanation:
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.


NEW QUESTION # 46
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. Remote Tables from SAP S/4HANA
  • B. Manual KPI calculation in spreadsheets
  • C. Data replication through CSV
  • D. Business Builder for semantic modeling
  • E. Role-based data access

Answer: A,D,E


NEW QUESTION # 47
What are the data sources for Data Analyzer?
Please select all the correct answers that apply.
Response:

  • A. SAP HANA Live Views
  • B. CSV files
  • C. SAP BW Queries
  • D. SAP Datasphere
  • E. Microsoft Excel files
  • F. SAP Analytics Cloud Models

Answer: A,C,D,F


NEW QUESTION # 48
You have created a story using a planning model and notice that a Value Driver Tree can be defined. Why do you use a Value Driver Tree?
There are 2 correct answers to this question.
Response:

  • A. To view a planning simulation graphically
  • B. To lock planning data
  • C. To track planning tasks
  • D. To leverage driver-based planning

Answer: A,D


NEW QUESTION # 49
In SAP Analytics Cloud, you have a story based on an import model. The transactional data in the model's data source changes. How can you update the data in the model?

  • A. Allow model import
  • B. Refresh the story
  • C. Refresh the data source
  • D. Schedule the import

Answer: D

Explanation:
When an SAP Analytics Cloud (SAC) story is based on an import model, the data is physically copied and stored within SAC. Therefore, simply refreshing the story (option A) will only update the visualization with the data already in the model and will not pull new data from the source. Similarly, "Allow model import" (option B) isn't a direct action for updating data, but rather a prerequisite for the import process itself. "Refresh the data source" (option C) is not an action performed within SAC for an import model. To update the data in the model when the transactional data in its source changes, you must schedule the import (option D) or manually re-run the import process. This process re-fetches the latest data from the original source system and updates the SAC import model, ensuring your story reflects the most current information. This scheduling can be set up to occur at regular intervals, keeping the model synchronized with the source data.


NEW QUESTION # 50
Which capability allows combining SAP and non-SAP data without physical replication?
Please choose the correct answer.
Response:

  • A. Remote Tables
  • B. Data Marketplace
  • C. ETL Scheduling
  • D. Flat File Upload

Answer: A


NEW QUESTION # 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 Business Warehouse (BW)
  • B. SAP Datasphere
  • C. Microsoft SharePoint

Answer: B


NEW QUESTION # 52
You want to combine external data with internal data via product ID. Although the data may be inconsistent, such as the external data contains the letter "O" where the internal data contains the digit 0, you still want to combine them. Which artifact should you use for matching?

  • A. Entity Relationship Model
  • B. Analytic Model
  • C. Intelligent Lookup
  • D. Graphical View

Answer: C

Explanation:
When faced with the challenge of combining data from different sources where the matching keys (like "Product ID") are inconsistent or contain variations (e.g., "O" vs. "0"), the recommended artifact in SAP Datasphere for such fuzzy or approximate matching scenarios is an Intelligent Lookup. An Intelligent Lookup (D) leverages machine learning capabilities to identify and map records that are semantically similar but not exact matches. Unlike standard joins in graphical views or SQL views which require precise key matches, Intelligent Lookups can handle data quality issues, typos, and variations, allowing you to successfully link disparate records that would otherwise be missed. This is particularly valuable when integrating data from external systems or legacy sources where perfect data standardization is not feasible, ensuring a more comprehensive and accurate combined dataset for analysis.


NEW QUESTION # 53
Which operation is implemented by the Foundation Services of SAP Business Data Cloud?

  • A. Execution of machine learning algorithms to generate additional insights.
  • B. Generation of an analytic model by adding semantic information.
  • C. Data transformation and enrichment to generate a data product.
  • D. Storage of raw data inside a CDS view.

Answer: C

Explanation:
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.


NEW QUESTION # 54
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. Manual logs in Excel
  • C. Change history view
  • D. Business Catalog publication
  • E. Lineage tracking

Answer: A,C,E


NEW QUESTION # 55
What are the types of datasets in SAP Analytics Cloud?
There are 2 correct answers to this question.
Response:

  • A. Import
  • B. Public
  • C. Embedded
  • D. Live

Answer: B,C


NEW QUESTION # 56
An enterprise wants to reuse data assets modeled by one team in another project without duplicating them. Which actions support this in SAP Business Data Cloud?
There are 3 correct answers to this question.
Response:

  • A. Publish models to Business Catalog
  • B. Export models as JSON files
  • C. Use role-based sharing permissions
  • D. Share data models between Spaces
  • E. Clone dashboards from SAP Analytics Cloud

Answer: A,C,D


NEW QUESTION # 57
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. Using SAP BW/4HANA Cloud, private edition queries as source for SAP Business Data Cloud Intelligent Applications.
  • C. Onboarding SAP BW 7.5 Cloud, private edition queries as SAP Business Data Cloud Analytical Models.
  • D. Extract data from legacy ECC systems through SAP Datasphere, SAP BW bridge.

Answer: C,D


NEW QUESTION # 58
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 removal of an existing Data Package.
  • D. The deployment of a new SAP Datasphere model.

Answer: B


NEW QUESTION # 59
Which options do you have when using the remote table feature in SAP Datasphere? Note: There are 3 correct answers to this question.

  • A. Data can be accessed virtually by remote access to the source system.
  • B. Data can be loaded using advanced transformation capabilities.
  • C. Data can be persisted in SAP Datasphere by creating a snapshot (copy of data).
  • D. Data access can be switched from virtual to persisted, but not the other way around.
  • E. Data can be persisted by using real-time replication.

Answer: A,C,E

Explanation:
The remote table feature in SAP Datasphere offers significant flexibility in how data from external sources is consumed and managed. Firstly, data can be accessed virtually by remote access to the source system (E). This means Datasphere does not store a copy of the data; instead, it queries the source system in real-time when the data is requested. This ensures that users always work with the freshest data. Secondly, data can be persisted in SAP Datasphere by creating a snapshot (copy of data) (C). This allows users to explicitly load a copy of the remote table's data into Datasphere at a specific point in time, useful for performance or offline analysis. Lastly, data can be persisted by using real-time replication (D). For certain source systems and configurations, Datasphere supports continuous, real-time replication, ensuring that changes in the source system are immediately reflected in the persisted copy within Datasphere. Option A is incorrect as the access mode cannot be arbitrarily switched, and option B refers to data flow capabilities, not inherent remote table access options.


NEW QUESTION # 60
What scripting language is used in the advanced story interface?
Please choose the correct answer.
Response:

  • A. JavaScript
  • B. Python
  • C. HTML5

Answer: A


NEW QUESTION # 61
Which of the following best describes the primary function of SAP Business Data Cloud?
Please choose the correct answer.
Response:

  • A. Data integration and management
  • B. Data storage and backup
  • C. Data visualization and reporting
  • D. Customer relationship management

Answer: A


NEW QUESTION # 62
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 explores the available Intelligent Application in SAP Business Data Cloud Catalog.
  • B. He shares the Data Product with SAP Databricks.
  • C. He reviews the details and installs the Intelligent Application.
  • D. He develops a custom ML model.

Answer: A


NEW QUESTION # 63
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