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[General] Valid Dumps C-SAC-2501 Files | C-SAC-2501 Reliable Real Exam

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【General】 Valid Dumps C-SAC-2501 Files | C-SAC-2501 Reliable Real Exam

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q29-Q34):NEW QUESTION # 29
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
  • A. Filter data
  • B. Input data
  • C. Create cross-calculation
  • D. Drill down on data
Answer: A,D
Explanation:
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer

NEW QUESTION # 30
What is required to use version management in a story?
  • A. Planning model
  • B. Analytic model
  • C. Optimized mode
  • D. Classic mode
Answer: A
Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning

NEW QUESTION # 31
What can you use to perform cell-based calculations in a story?
  • A. Dimension formulas
  • B. Restricted measures
  • C. Calculated measures
  • D. Table formulas
Answer: D
Explanation:
Table formulas in SAP Analytics Cloud are used to perform cell-based calculations within a story. These formulas can be applied directly to table cells, allowing for customized calculations that are specific to the data presented in the table. This feature is particularly useful for ad-hoc analysis and when specific calculations are needed that are not covered by predefined measures or dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Using Table Formulas
SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories

NEW QUESTION # 32
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.
  • A. Enable unbooked data in the story.
  • B. Set Size Limits for Planning Performance in the model.
  • C. Enable Optimize Recommended Planning Area in the model.
  • D. Select fluid data entry mode in the story.
Answer: C,D

NEW QUESTION # 33
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 group that includes the dimensions.
  • B. Create a level-based hierarchy in the dataset.
  • C. Create a parent-child hierarchy in the dataset.
  • D. Convert the embedded dataset to a model.
Answer: B
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 # 34
......
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