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Valid SAP C_BCBDC_2505 Practice Materials & Valid C_BCBDC_2505 Practice Questions

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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 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 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 (Q23-Q28):

NEW QUESTION # 23
You want to combine external data with internal data via product ID. Although the data may be inconsistent, such as the external data contains the letter "O" where the internal data contains the digit 0, you still want to combine them. Which artifact should you use for matching?

A. Graphical View
B. Analytic Model
C. Intelligent Lookup
D. Entity Relationship Model

Answer: C

Explanation:
When faced with the challenge of combining data from different sources where the matching keys (like "Product ID") are inconsistent or contain variations (e.g., "O" vs. "0"), the recommended artifact in SAP Datasphere for such fuzzy or approximate matching scenarios is an Intelligent Lookup. An Intelligent Lookup (D) leverages machine learning capabilities to identify and map records that are semantically similar but not exact matches. Unlike standard joins in graphical views or SQL views which require precise key matches, Intelligent Lookups can handle data quality issues, typos, and variations, allowing you to successfully link disparate records that would otherwise be missed. This is particularly valuable when integrating data from external systems or legacy sources where perfect data standardization is not feasible, ensuring a more comprehensive and accurate combined dataset for analysis.

NEW QUESTION # 24
What are the three primary access levels you can assign when sharing files?
There are 3 correct answers to this question.
Response:

A. Read Only
B. View
C. Read/Write
D. Full Control
E. Edit

Answer: B,D,E

NEW QUESTION # 25
What is the purpose of SAP Datasphere in the context of SAP Business Data Cloud?
Please choose the correct answer.
Response:

A. To extract data from the SAP source systems
B. To transfer data to SAP Databricks for machine learning processing
C. To store data to create a data warehouse
D. To add semantically rich models to prepare data for analysis

Answer: D

NEW QUESTION # 26
For which purpose would you create a Graphical View?
Please choose the correct answer.
Response:

A. To define an SQL script that derives a result based on exiisting tables
B. To use fuzzy logic for finding the best matching value from an existing table
C. To upload data to an existing table
D. To combine existing tables by unions and joins

Answer: A

NEW QUESTION # 27
In SAP Analytics Cloud, you have a story based on an import model. The transactional data in the model's data source changes. How can you update the data in the model?

A. Schedule the import
B. Allow model import
C. Refresh the story
D. Refresh the data source

Answer: A

Explanation:
When an SAP Analytics Cloud (SAC) story is based on an import model, the data is physically copied and stored within SAC. Therefore, simply refreshing the story (option A) will only update the visualization with the data already in the model and will not pull new data from the source. Similarly, "Allow model import" (option B) isn't a direct action for updating data, but rather a prerequisite for the import process itself. "Refresh the data source" (option C) is not an action performed within SAC for an import model. To update the data in the model when the transactional data in its source changes, you must schedule the import (option D) or manually re-run the import process. This process re-fetches the latest data from the original source system and updates the SAC import model, ensuring your story reflects the most current information. This scheduling can be set up to occur at regular intervals, keeping the model synchronized with the source data.

NEW QUESTION # 28
......

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