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New 2025 C_BCBDC_2505 Sample Questions Reliable C_BCBDC_2505 Test Engine

NEW QUESTION # 29
What are some use cases for an SAP Datasphere task chain? Note: There are 3 correct answers to this question.

• A. Execute a data action for a planning function
• B. Upload a CSV file into a local table
• C. Run an Open SQL Schema Procedure
• D. Execute a Replication Flow and Transformation Flow in sequence
• E. Create or Refresh View Persistency

Answer: C,D,E

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 # 30
What is the role of "Spaces" in SAP Business Data Cloud?
Please choose the correct answer.
Response:

• A. Deploy machine learning models
• B. Store logs and audit information
• C. Define and isolate resources for specific teams or projects
• D. Manage user accounts across SAP applications

Answer: C

NEW QUESTION # 31
In the SAP Analytics Cloud Catalog, what access do you have to the files?
Please choose the correct answer.
Response:

• A. Edit
• B. View
• C. Read/Write

Answer: B

NEW QUESTION # 32
In SAP Business Data Cloud, what is the function of the Connection Management feature?
Please choose the correct answer.
Response:

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

Answer: C

NEW QUESTION # 33
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 # 34
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. Analytic Model
• B. Intelligent Lookup
• C. Entity Relationship Model
• D. Graphical View

Answer: B

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 # 35
What can help prevent data input for invalid member combinations across dimensions?
Please choose the correct answer.
Response:

• A. Data Locking
• B. Validation Rules
• C. Data Actions

Answer: B

NEW QUESTION # 36
Which tasks can be performed using the Data Builder in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

• A. Build graphical views
• B. Configure remote table access
• C. Manage user licenses
• D. Create data flows for ETL

Answer: A,D

NEW QUESTION # 37
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. Responsive
• B. Grid
• C. Canvas

Answer: A

NEW QUESTION # 38
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 access can be switched from virtual to persisted, but not the other way around.
• D. Data can be persisted by using real-time replication.
• E. Data can be persisted in SAP Datasphere by creating a snapshot (copy of data).

Answer: A,D,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 # 39
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 predefined business content library
• C. A tool for visualizing dashboards in SAP Analytics Cloud
• D. A graphical tool for designing ETL pipelines

Answer: D

NEW QUESTION # 40
Which of the following SAP Datasphere objects can you create in the Data Builder? Note: There are 3 correct answers to this question.

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

Answer: A,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 # 41
What is the result of activating a Data Package in the SAP Business Data Cloud cockpit?
Please choose the correct answer.
Response:

• A. The deployment of a new SAP Datasphere model.
• B. The availability of the corresponding Data Products.
• C. The creation of a new Intelligent Application.
• D. The removal of an existing Data Package.

Answer: B

NEW QUESTION # 42
What is the role of SAP Databricks in SAP Business Data Cloud?
Please choose the correct answer.
Response:

• A. To enhance intelligent applications by adding planning functions
• B. To enrich data products with Al and machine learning
• C. To provide a graphical interface for the business user who will develop data models
• D. To integrate ABAP function modules for data type conversions in SAP-based data sources

Answer: B

NEW QUESTION # 43
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. Schedule the import
• D. Refresh the story

Answer: C

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 # 44
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. Business Builder
• C. Calculated Measures
• D. Data Marketplace

Answer: B,C

NEW QUESTION # 45
Why would you choose the "Validate Remote Tables" feature in the SAP Datasphere repository explorer?

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

Answer: C

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 # 46
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. Modify
• C. Reschedule
• D. Define

Answer: A,B

NEW QUESTION # 47
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