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[General] Quiz 2026 SAP Reliable C_SAC_2501: SAP Certified Associate - Data Analyst - SAP

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【General】 Quiz 2026 SAP Reliable C_SAC_2501: SAP Certified Associate - Data Analyst - SAP

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SAP C_SAC_2501 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
Topic 3
  • 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 4
  • Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
Topic 5
  • 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.

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q28-Q33):NEW QUESTION # 28
Which SAP Analytics Cloud feature uses natural language processing?
  • A. Data analyzer
  • B. Digital boardroom
  • C. Smart insight
  • D. Just Ask feature
Answer: D

NEW QUESTION # 29
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.
  • A. Use a calculated member
  • B. Use a story calculated measure
  • C. Use a model converted measure
  • D. Use a dimension hierarchy
Answer: A,D

NEW QUESTION # 30
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?
  • A. Use two hierarchies
  • B. Dis-able distribution
  • C. Use two properties
  • D. Dis-able allocations
Answer: A
Explanation:
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning

NEW QUESTION # 31
You want to display differences between measures in a chart. What can you use?
  • A. Threshold
  • B. Restricted measure
  • C. Variance
  • D. Reference line
Answer: C
Explanation:
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
Reference:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance

NEW QUESTION # 32
Your embedded dataset in SAP Analytics Cloud has columns for Country, Region, City, and Customer Name. You want to aggregate measures for these columns as a single column. What can you do?
  • A. Create a level-based hierarchy in the dataset.
  • B. Create a parent-child hierarchy in the dataset.
  • C. Create a group that includes the dimensions.
  • D. Convert the embedded dataset to a model.
Answer: A
Explanation:
To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).
Reference:
SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
SAP Analytics Cloud User Guide: Data Modeling and Hierarchies

NEW QUESTION # 33
......
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