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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 (Q87-Q92):

NEW QUESTION # 87
What do you use to write data from a local table in SAP Datasphere to an outbound target?

A. Replication Flow
B. CSN Export
C. Transformation Flow
D. Data Flow

Answer: D

Explanation:
To write data from a local table in SAP Datasphere to an outbound target, you primarily use a Data Flow. A Data Flow in SAP Datasphere is a powerful tool designed for comprehensive data integration and transformation. It allows you to extract data from various sources (including local tables within Datasphere), perform various transformations (like joins, aggregations, filtering, scripting), and then load the processed data into a specified target. This target can be another local table, a remote table, or an outbound target like an external database or a file system. While a Replication Flow (C) is used for ingesting data into Datasphere, and a Transformation Flow (A) is not a standalone artifact for outbound writes (often part of a Data Flow), the Data Flow provides the complete framework for extracting, transforming, and loading data, including sending it to external destinations.

NEW QUESTION # 88
Which components support semantic enrichment of data in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

A. Business Builder
B. Data Marketplace
C. Calculated Measures
D. Data Monitor

Answer: A,C

NEW QUESTION # 89
Which of the following can you do with an SAP Datasphere Data Flow? Note: There are 3 correct answers to this question.

A. Fill different target tables in parallel.
B. Use a Python script for data transformation.
C. Write data to a table in a different SAP Datasphere tenant.
D. Delete records from a target table.
E. Integrate data from different sources into one table.

Answer: A,B,E

Explanation:
An SAP Datasphere Data Flow is a highly versatile and powerful tool for data integration, transformation, and loading. With a Data Flow, you can effectively integrate data from different sources into one table (B). This is a fundamental capability, allowing you to combine data from various tables, views, or even external connections, apply transformations, and consolidate it into a single target table. Another advanced capability is to fill different target tables in parallel (D). Data Flows are designed to handle complex scenarios efficiently, and this parallelism optimizes performance when you need to populate multiple destination tables simultaneously from a single flow. Furthermore, Data Flows support extensibility, allowing you to use a Python script for data transformation (E). This enables advanced, custom data manipulation logic that might not be available through standard graphical operations, providing immense flexibility for complex business rules. Writing data to a different Datasphere tenant (A) is not a direct capability of a Data Flow, and deleting records from a target table (C) is typically handled via specific operations within the target table's management or through SQL scripts rather than a standard data flow write operation.

NEW QUESTION # 90
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 Export.
B. From the File area of the menu bar, choose Save as and change the file type to CSV.
C. Choose a widget that displays data and use its More Actions menu.

Answer: C

NEW QUESTION # 91
What lets you create 1 or more models that learn from your historical data?
Please choose the correct answer.
Response:

A. Smart Insights
B. Predictive Forecast
C. Smart Predict

Answer: C

NEW QUESTION # 92
......

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