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SAP C_BCBDC_2505 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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 (Q77-Q82):

NEW QUESTION # 77
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. .xlsx
C. .pdf
D. .csv

Answer: C

NEW QUESTION # 78
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. Guided help tutorials
C. Live chat with experts
D. Chatbot

Answer: A,B

NEW QUESTION # 79
When you are scheduling, to how many non-SAP Analytics Cloud recipients can you distribute?
Please choose the correct answer.
Response:

A. 0
B. 1
C. 2
D. 3

Answer: C

NEW QUESTION # 80
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. Connections
C. Task Chains
D. Replication Flows
E. Spaces

Answer: A,C,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 # 81
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 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 # 82
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