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Quiz 2025 Unparalleled SAP C-BCBDC-2505: Certification SAP Certified Associate - SAP Business Data Cloud Training
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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 (Q80-Q85):
NEW QUESTION # 80
A multinational corporation wants to integrate data from various sources, ensure data quality, and provide access to data analysts across departments. They also need to comply with data protection regulations.
Which SAP Business Data Cloud features should they utilize?
There are 3 correct answers to this question.
Response:
- A. Role-based access control
- B. Data Catalog
- C. Social media integration
- D. Data Marketplace
- E. Data Builder
Answer: A,B,E
NEW QUESTION # 81
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. Wrangling Expression Language
- B. Python
- C. ABAP
- D. JavaScript
Answer: D
Explanation:
JavaScript is the programming language utilized for scripting within an SAP Analytics Cloud (SAC) story. While SAC offers various functionalities through its intuitive user interface, scripting with JavaScript provides advanced capabilities for customizing the behavior and interactivity of a story. This allows developers and power users to create highly tailored analytical applications and dashboards that go beyond standard features. For instance, JavaScript can be used to dynamically change chart properties, implement complex filtering logic, trigger data actions, or integrate with external services. Unlike analytic applications, which typically offer more extensive scripting options, storytelling in SAC focuses on enabling business users to create interactive reports with a degree of customization through embedded scripts. The scripts are executed by the web browser, leveraging its built-in JavaScript execution engine, ensuring a flexible and widely understood development environment for enhancing story functionality.
NEW QUESTION # 82
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. Entity Relationship Model
- B. Analytic Model
- C. Intelligent Lookup
- D. Graphical View
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 # 83
In the SAP Analytics Cloud Catalog, what access do you have to the files?
Please choose the correct answer.
Response:
- A. Read/Write
- B. View
- C. Edit
Answer: B
NEW QUESTION # 84
Which of the following options will duplicate data to SAP HANA cloud under SAP Datasphere, based on data from an external source object?
There are 3 correct answers to this question.
Response:
- A. Use a replication flow to fill a local table
- B. Import a source as a remote table without taking any further action
- C. Use a data flow to fill a target table
- D. Import a source as a remote table and schedule replication
- E. Create a graphical view based on a remote table for that source object and persist the view data
Answer: A,C,D
NEW QUESTION # 85
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