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VCE C_BCBDC_2505 Dumps - Certification C_BCBDC_2505 Test Questions

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SAP C_BCBDC_2505 Exam Syllabus Topics:

Topic
Details

Topic 1

SAP Datasphere: This section of the exam measures the skills of Solution Consultants and covers a comprehensive understanding of SAP Datasphere. Candidates should demonstrate knowledge of data modeling, transformation, and harmonization using SAP Datasphere tools. It evaluates how well they can work with data layer structuring, semantic modeling, and integration to support real-time data access for various business applications.

Topic 2

SAP Business Data Cloud: This section of the exam measures the skills of Data Analysts and covers core concepts of the SAP Business Data Cloud. Candidates are expected to understand its key components, integration mechanisms, and how it functions as a foundation for unified data management across SAP and non-SAP environments. The focus is on enabling data connectivity and providing governed access to data across the enterprise.

Topic 3

SAP Analytics Cloud: This section of the exam measures the skills of Data Analysts and covers the use of SAP Analytics Cloud in data visualization, story building, and dashboard creation. Candidates should be familiar with its planning and predictive capabilities, along with how to utilize data insights to drive business decision-making. It also includes managing user access and collaborating through shared analytics assets.

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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q88-Q93):

NEW QUESTION # 88
Which of the following SAP Datasphere objects can you create in the Data Builder? Note: There are 3 correct answers to this question.

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

Answer: A,B,D

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 # 89
Which security features are inherent in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

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

Answer: B,C

NEW QUESTION # 90
How can you join two existing artifacts in SAP Datasphere? Note: There are 2 correct answers to this question.

A. Create a graphical view, drag an artifact to the canvas, and the second one on top of the first one.
B. Create an Analytic Model based on the first artifact and add the second artifact as the Used in property.
C. Create an SQL view with a JOIN operation.
D. Create a graphical view and select the Join node icon.

Answer: C,D

Explanation:
In SAP Datasphere, there are distinct methods for joining two existing artifacts, enabling powerful data integration. One common and intuitive approach is to create a graphical view and select the Join node icon (B). In the graphical view editor, you can drag your source artifacts (tables or views) onto the canvas, and then use the dedicated "Join" node to define the join conditions between them, visually mapping the columns and selecting the join type (e.g., inner, left outer). This method is highly visual and user-friendly. Another powerful and flexible way to join artifacts is to create an SQL view with a JOIN operation (C). For users comfortable with SQL, an SQL view allows for direct coding of complex join conditions, including various join types and advanced filtering, offering fine-grained control over the data integration logic. Both methods achieve the goal of combining data from multiple artifacts into a single result set, tailored to different user preferences and complexity requirements.

NEW QUESTION # 91
What are the advantages of using remote tables in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

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

Answer: A,D

NEW QUESTION # 92
Which of the following options will duplicate data to SAP HANA cloud under SAP Datasphere, based on data from an external source object?
There are 3 correct answers to this question.
Response:

A. Import a source as a remote table without taking any further action
B. Import a source as a remote table and schedule replication
C. Create a graphical view based on a remote table for that source object and persist the view data
D. Use a data flow to fill a target table
E. Use a replication flow to fill a local table

Answer: B,D,E

NEW QUESTION # 93
......

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