Latest SAP C_BCBDC_2505 Exam questions and answers [Q47-Q71]

Latest SAP C_BCBDC_2505 Exam questions and answers

ActualCollection C_BCBDC_2505 Exam Practice Test Questions (Updated 99 Questions)

NEW QUESTION # 47
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 # 48
If you schedule a publication, what management options do you have for the schedule?
There are 2 correct answers to this question.
Response:

A. Discontinue
B. Define
C. Modify
D. Reschedule

Answer: A,C

NEW QUESTION # 49
Which SAP Analytics Cloud feature uses natural language processing?

A. Just Ask feature
B. Smart insight
C. Digital boardroom
D. Data analyzer

Answer: A

Explanation:
The "Just Ask" feature in SAP Analytics Cloud (SAC) is a prime example of its integration with natural language processing (NLP). This innovative AI-powered capability allows users to interact with their data by simply typing questions in plain, everyday language, rather than needing to navigate complex menus or understand underlying data structures. For instance, a user might type "Show me sales by region for the last quarter," and "Just Ask" will interpret this query, identify relevant dimensions and measures, and automatically generate an appropriate visualization or insight. This significantly democratizes data analysis, making it accessible to a wider audience, including business users who may not have extensive technical skills. By leveraging NLP, "Just Ask" bridges the gap between human language and data queries, transforming how users discover and consume insights within SAC, ultimately accelerating decision-making.

NEW QUESTION # 50
Which security features are inherent in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

A. Data encryption at rest
B. Social media integration
C. Role-based access control
D. Built-in antivirus software

Answer: A,C

NEW QUESTION # 51
Why would you choose the "Validate Remote Tables" feature in the SAP Datasphere repository explorer?

A. To preview data of remote tables
B. To identify structure updates of the remote sources
C. To detect if remote tables are defined that are not used in Views
D. To test if data has been replicated completely

Answer: B

Explanation:
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.

NEW QUESTION # 52
What is a key benefit of using SAP Business Data Cloud for data governance?
Please choose the correct answer.
Response:

A. Reduced data storage costs
B. Real-time data visualization
C. Automated data entry
D. Enhanced data security and compliance

Answer: D

NEW QUESTION # 53
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. Organization
C. Date
D. Version

Answer: C,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 # 54
What are the styles of models?
There are 2 correct answers to this question.
Response:

A. Analytic
B. Planning
C. Live
D. On-premise

Answer: A,B

NEW QUESTION # 55
For which purposes would you use the SAP Business Data Cloud cockpit?
There are 3 correct answers to this question.
Response:

A. To install intelligent applications
B. To install the Foundation Services
C. To copy and enhance intelligent applications
D. To activate data packages
E. To discover intelligent applications and data packages

Answer: A,D,E

NEW QUESTION # 56
What features does the SAP Analytics Cloud calendar provide?
Please choose the correct answer.
Response:

A. Create a project plan
B. Assign Reviewer
C. Collaborate
D. Schedule a file

Answer: C

NEW QUESTION # 57
What features are supported by the SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.

A. Input controls
B. Linked dimensions
C. Conditional formatting
D. Calculated measures
E. Charts

Answer: A,C,D

Explanation:
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.

NEW QUESTION # 58
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. AI-based suggestions for intelligent applications in the SAP Business Data Cloud Cockpit
C. Services for transforming and enriching data
D. Manual creation of artifacts across all involved components

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 # 59
With an import model, when changes happen in the original data source, what happens in the SAP Analytic Model?
Please choose the correct answer.
Response:

A. Only the changes in the original data source are transferred to the model; unchanged data is not transferred.
B. All data in the original data source is transferred to the model, including unchanged data.
C. Nothing. The changes in the original data source are not reflected in the model.

Answer: C

NEW QUESTION # 60
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 installed and configured on a local host.
B. The Cloud Connector is installed on a local host.
C. The data provisioning adapter is installed.
D. The DP Agent is configured for a dedicated space in SAP Datasphere.

Answer: A,C

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 # 61
Which of the following is true about data access control in SAP Business Data Cloud?
Please choose the correct answer.
Response:

A. Access can be assigned only at the workspace level
B. Access is managed using roles and policies
C. There is no support for data-level authorization
D. All users have full read-write access by default

Answer: B

NEW QUESTION # 62
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 # 63
You need to export some data from your story into a .csv file. What do you do?
Please choose the correct answer.
Response:

A. From the File area of the menu bar, choose Save as and change the file type to CSV.
B. Choose a widget that displays data and use its More Actions menu.
C. From the File area of the menu bar, choose Export.

Answer: B

NEW QUESTION # 64
Which of the following SAP Datasphere objects can you create in the Data Builder? Note: There are 3 correct answers to this question.

A. Connections
B. Task Chains
C. Replication Flows
D. Spaces
E. Intelligent Lookups

Answer: B,C,E

Explanation:
The Data Builder in SAP Datasphere is the primary environment for data modeling and transformation activities. Within the Data Builder, users can create a variety of essential objects to build their data landscape. Among the options provided, you can create Intelligent Lookups (A), which are used for fuzzy matching and data cleansing operations to link disparate data sets. You can also create Task Chains (D), which are crucial for orchestrating and automating sequences of data integration and transformation processes, ensuring data pipelines run efficiently. Furthermore, Replication Flows (E) are designed and managed within the Data Builder, allowing you to configure and execute continuous or scheduled data replication from source systems into Datasphere. "Spaces" (B) and "Connections" (C) are typically managed at a higher administrative level within the SAP Datasphere tenant (e.g., in the System or Connection Management areas), not directly within the Data Builder itself, which focuses on data content and logic.

NEW QUESTION # 65
For a story element, what is similar to a context menu?
Please choose the correct answer.
Response:

A. More Actions button
B. Styling panel
C. Builder panel

Answer: A

NEW QUESTION # 66
In SAP Business Data Cloud, what is the function of the Connection Management feature?
Please choose the correct answer.
Response:

A. Control dashboard visualization access
B. Define connectivity to source systems
C. Establish data flows between widgets
D. Create backup jobs for storage

Answer: B

NEW QUESTION # 67
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. Refresh the data source
B. Allow model import
C. Refresh the story
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 # 68
What is a purpose of SAP Datasphere in the context of SAP Business Data Cloud?

A. To define a data product
B. To install an intelligent application
C. To maintain the system landscape for SAP Business Data Cloud
D. To provide analytic models for intelligent applications

Answer: D

Explanation:
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.

NEW QUESTION # 69
What are the advantages of using remote tables in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

A. Local caching of business rules
B. Automatic dashboard publishing
C. Minimized data latency
D. Real-time access to source data

Answer: C,D

NEW QUESTION # 70
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: