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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.

SAP Certified Associate - SAP Business Data Cloud Sample Questions (Q33-Q38):

NEW QUESTION # 33
In SAP Analytics Cloud, into which elements can you import data?
There are 3 correct answers to this question.
Response:

A. Models
B. Datasets
C. Stories
D. Dimensions

Answer: A,B,D

NEW QUESTION # 34
What are the advantages of using remote tables in SAP Business Data Cloud?
There are 2 correct answers to this question.
Response:

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

Answer: C,D

NEW QUESTION # 35
What do you use to write data from a local table in SAP Datasphere to an outbound target?

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

Answer: C

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 # 36
Which integration scenarios of SAP BW with SAP Business Data Cloud are supported?
There are 2 correct answers to this question.
Response:

A. Extract data from legacy ECC systems through SAP Datasphere, SAP BW bridge.
B. Provisioning Data Products from SAP BW/4HANA On-Premise Infoproviders.
C. Using SAP BW/4HANA Cloud, private edition queries as source for SAP Business Data Cloud Intelligent Applications.
D. Onboarding SAP BW 7.5 Cloud, private edition queries as SAP Business Data Cloud Analytical Models.

Answer: A,D

NEW QUESTION # 37
For a model in SAP Analytics Cloud you are using a live connection. Where is the data stored?

A. Public dataset
B. SAP Analytics Cloud model
C. Source system
D. Embedded dataset

Answer: C

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 # 38
......

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