Latest [Feb 10, 2026] C_BCBDC_2505 Exam Dumps - Valid and Updated Dumps
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SAP C_BCBDC_2505 Exam Syllabus Topics:
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NEW QUESTION # 22
If you schedule a publication, what management options do you have for the schedule?
There are 2 correct answers to this question.
Response:
- A. Define
- B. Modify
- C. Discontinue
- D. Reschedule
Answer: B,C
NEW QUESTION # 23
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. Manual creation of artifacts across all involved components
- C. AI-based suggestions for intelligent applications in the SAP Business Data Cloud Cockpit
- D. Automated data provisioning from business application to dashboard
Answer: A,D
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 # 24
Which benefits does SAP Business Data Cloud provide for ensuring data transparency?
There are 2 correct answers to this question.
Response:
- A. Manual SQL scripts only
- B. Version history of data artifacts
- C. Data Lineage
- D. Role-based visualizations
Answer: B,C
NEW QUESTION # 25
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. Organization
- D. Version
Answer: B,D
Explanation:
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.
NEW QUESTION # 26
What can help prevent data input for invalid member combinations across dimensions?
Please choose the correct answer.
Response:
- A. Data Locking
- B. Data Actions
- C. Validation Rules
Answer: C
NEW QUESTION # 27
You created a story and want to share it with an external agent, who does not have SAP Analytics Cloud. You decide to export the story as a file. Which file type can be used?
Please choose the correct answer.
Response:
- A. .html
- B. .pdf
- C. .csv
- D. .xlsx
Answer: B
NEW QUESTION # 28
What are the styles of models?
There are 2 correct answers to this question.
Response:
- A. On-premise
- B. Live
- C. Analytic
- D. Planning
Answer: C,D
NEW QUESTION # 29
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. JavaScript
- B. Wrangling Expression Language
- C. ABAP
- D. Python
Answer: A
Explanation:
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.
NEW QUESTION # 30
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. Exporting data to Excel for distribution
- B. Business Builder for semantic modeling
- C. Remote table access to avoid duplication
- D. Role-based access management
- E. Data replication via CSV uploads
Answer: B,C,D
NEW QUESTION # 31
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. Canvas
- B. Grid
- C. Responsive
Answer: C
NEW QUESTION # 32
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 Cloud Connector is installed on a local host.
- B. The DP Agent is configured for a dedicated space in SAP Datasphere.
- C. The DP Agent is installed and configured on a local host.
- D. The data provisioning adapter is installed.
Answer: C,D
Explanation:
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.
NEW QUESTION # 33
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 explores the available Intelligent Application in SAP Business Data Cloud Catalog.
- C. He reviews the details and installs the Intelligent Application.
- D. He shares the Data Product with SAP Databricks.
Answer: B
NEW QUESTION # 34
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. An SAP Analytics Cloud Story
- B. Databricks machine learning algorithm
- C. SAP Datasphere Ingestion Space
- D. SAP Datasphere Intelligent Application Space with its artifacts
Answer: A,D
NEW QUESTION # 35
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 a persistent snapshot of a view
- B. By adding an output of a data flow
- C. By creating an intelligent lookup
- D. By importing a CSV file
Answer: B,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 # 36
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 Monitor
- C. Calculated Measures
- D. Data Marketplace
Answer: A,C
NEW QUESTION # 37
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. SAP Analytics Cloud Models
- F. Microsoft Excel files
Answer: A,C,D,E
NEW QUESTION # 38
What are some use cases for an SAP Datasphere task chain? Note: There are 3 correct answers to this question.
- A. Create or Refresh View Persistency
- B. Execute a Replication Flow and Transformation Flow in sequence
- C. Upload a CSV file into a local table
- D. Run an Open SQL Schema Procedure
- E. Execute a data action for a planning function
Answer: A,B,D
Explanation:
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.
NEW QUESTION # 39
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. Chatbot
- B. Videos
- C. Live chat with experts
- D. Guided help tutorials
Answer: B,D
NEW QUESTION # 40
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
Answer: A
NEW QUESTION # 41
Which use cases are addressed by SAP Business Data Cloud's Data Catalog?
There are 2 correct answers to this question.
Response:
- A. Metadata discovery
- B. Data classification and tagging
- C. API publishing
- D. Transaction processing
Answer: A,B
NEW QUESTION # 42
For a model in SAP Analytics Cloud you are using a live connection. Where is the data stored?
- A. Embedded dataset
- B. Source system
- C. SAP Analytics Cloud model
- D. Public dataset
Answer: B
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 # 43
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. Manual data entry forms
- B. Real-time data replication
- C. Batch data processing
- D. Email data import
Answer: B,C
NEW QUESTION # 44
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