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SAP C-SAC-2501 Exam Syllabus Topics:
Topic
Details
Topic 1
- Connections and Data Preparation: This section targets Data Engineers and covers connections and data preparation, The focus is on connecting to data sources and preparing data for visualization.
Topic 2
- Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
Topic 3
- Performance, Troubleshooting, and Security Management: This section measures the skills of IT Administrators and covers performance, troubleshooting, and security management, making up less than 10% of the exam. It focuses on optimizing performance, resolving issues, and ensuring data security in data visualization environments.
Topic 4
- Story Design: This section of the exam measures the skills of Data Analysts and covers story design concepts, accounting for The focus on creating effective visualizations and narratives using data.
Topic 5
- Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q57-Q62):
NEW QUESTION # 57
Where can you create a blank planning version?
- A. In the version dimension
- B. In version management
- C. In the planning model
- D. In a data cell
Answer: B
Explanation:
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning
NEW QUESTION # 58
What source system can you connect to with a live connection?
- A. SAP ERP Central Component
- B. SAP Datasphere
- C. SAP SuccessFactors
- D. SAP Business ByDesign Analytics
Answer: B
Explanation:
SAP Analytics Cloud can establish a live connection with various source systems, including SAP Datasphere. This allows for real-time data access and analysis without the need to replicate data into the cloud, which is beneficial for scenarios where data privacy and security are paramount.
Reference:
SAP Analytics Cloud Connection Guide1
SAC Live and Import Connection Overview2
SAP Analytics Cloud: Expand Live Data Source Options3
Live connection in SAP Analytics Cloud: advantages and challenges4
Explaining Where the Data Comes From - SAP Learning5
NEW QUESTION # 59
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.
- A. Enable Keeping member names visible
- B. Freeze Up to column
- C. Enable Auto-Size And Page Table Vertically
- D. Freeze Up to row
Answer: B,D
NEW QUESTION # 60
You input new data for a private version in a story. What must you do to ensure the new data is added to the model?
- A. Save
- B. Publish
- C. Nothing
- D. Send
Answer: B
Explanation:
When inputting new data for a private version in a story in SAP Analytics Cloud, it is necessary to "Publish" the data to ensure it is added to the model. Publishing the private version commits the changes to the underlying model, making the new data visible and accessible to other users according to their permissions. This step is crucial for ensuring that the updated data is incorporated into the shared model for further analysis and decision-making.
Reference:
SAP Analytics Cloud Help Documentation: Private Versions and Publishing SAP Analytics Cloud User Guide: Working with Private Versions in Stories
NEW QUESTION # 61
You input new data for a private version in a story. What must you do to ensure the new data is added to the model?
- A. Save
- B. Publish
- C. Nothing
- D. Send
Answer: B
Explanation:
When inputting new data for a private version in a story in SAP Analytics Cloud, it is necessary to "Publish" the data to ensure it is added to the model. Publishing the private version commits the changes to the underlying model, making the new data visible and accessible to other users according to their permissions. This step is crucial for ensuring that the updated data is incorporated into the shared model for further analysis and decision-making.
Reference:
SAP Analytics Cloud Help Documentation: Private Versions and Publishing SAP Analytics Cloud User Guide: Working with Private Versions in Stories
NEW QUESTION # 62
......
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