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SAP C_BCBDC_2505 Exam Syllabus Topics:

Topic
Details

Topic 1

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.

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 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.

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SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q69-Q74):

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

A. Automated data cleansing
B. Built-in email marketing tools
C. Access to external data providers
D. Enhanced data collaboration

Answer: C,D

NEW QUESTION # 70
Why would you choose the "Validate Remote Tables" feature in the SAP Datasphere repository explorer?

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

Answer: D

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 # 71
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. Videos
B. Chatbot
C. Live chat with experts
D. Guided help tutorials

Answer: A,D

NEW QUESTION # 72
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. Public dataset
D. SAP Analytics Cloud model

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 # 73
What are the key characteristics of SAP Datasphere?
Please select all the correct answers that apply.
Response:

A. Performance: Leverage the power of SAP HANA Cloud
B. Elasticity: A 'pay for what you use' concept
C. Collaboration: Enablement of both enterprise IT users and line of business users
D. Deployment: Free choice between on premise or private cloud
E. End-to-end Integration: Consumption of data from any source in SAP Analytics Cloud

Answer: A,B,C,E

NEW QUESTION # 74
......

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