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[Hardware] C-SAC-2501 Lead2pass & C-SAC-2501 Reliable Test Testking

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【Hardware】 C-SAC-2501 Lead2pass & C-SAC-2501 Reliable Test Testking

Posted at 1/10/2026 10:20:25      View：22 | Replies：0        Print      Only Author   [Copy Link] 1#
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SAP C-SAC-2501 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
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
  • 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.

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q13-Q18):NEW QUESTION # 13
Which SAP Analytics Cloud feature uses natural language processing?
  • A. Smart insight
  • B. Just Ask feature
  • C. Digital boardroom
  • D. Data analyzer
Answer: B

NEW QUESTION # 14
How can you limit the refresh time of a story?
  • A. Use canvas pages
  • B. Create calculated measures
  • C. Collapse the hierarchy
  • D. Implement a value driver tree
Answer: C
Explanation:
Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance

NEW QUESTION # 15
What can you use to organize dimensions into logical categories in a live model?
  • A. Value driver tree
  • B. Parent-child hierarchy
  • C. Level-based hierarchy
  • D. Groups
Answer: B
Explanation:
In a live model within SAP Analytics Cloud, dimensions can be organized into logical categories using either level-based hierarchies or parent-child hierarchies. Level-based hierarchies are used when the relationships between items are defined by distinct levels, such as Geography might be divided into Country, State, and City levels. Parent-child hierarchies, on the other hand, are useful when the data's hierarchy is not strictly defined by levels but by a parent relationship where a child member is associated with a parent member, which is common in organizational structures or product categories.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models

NEW QUESTION # 16
You are designing a new story. You want the size and position of widgets to adjust dynamically for viewing on different devices and screen sizes. Which page type must you use?
  • A. Responsive
  • B. Canvas
  • C. Composite
  • D. Grid
Answer: A
Explanation:
For designing a new story in SAP Analytics Cloud where the size and position of widgets need to adjust dynamically for different devices and screen sizes, the Responsive page type should be used. Responsive pages automatically adapt to the screen size of the device they are viewed on, providing an optimal viewing experience across desktops, tablets, and smartphones.
Reference:
SAP Analytics Cloud Help Documentation: Responsive Design in Stories
SAP Analytics Cloud User Guide: Building Responsive Pages

NEW QUESTION # 17
Which automatically created dimension type can you delete from an analytic data model?
  • A. Generic
  • B. Organization
  • C. Date
  • D. Version
Answer: A
Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models

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