RELIABLE C_SAC_2501 EXAM TOPICS & STUDY C_SAC_2501 MATERIAL

Reliable C_SAC_2501 Exam Topics & Study C_SAC_2501 Material

Reliable C_SAC_2501 Exam Topics & Study C_SAC_2501 Material

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Tags: Reliable C_SAC_2501 Exam Topics, Study C_SAC_2501 Material, Examinations C_SAC_2501 Actual Questions, Reliable C_SAC_2501 Exam Cram, C_SAC_2501 Pass Rate

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q45-Q50):

NEW QUESTION # 45
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Dimensions
  • B. Measures
  • C. Calculations
  • D. Hierarchies

Answer: A,B

Explanation:
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models


NEW QUESTION # 46
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 # 47
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 parent-child hierarchy in the dataset.
  • C. Create a level-based hierarchy in the dataset.
  • D. Convert the embedded dataset to a model.

Answer: C

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 # 48
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.

  • A. Undo button
  • B. Linked widgets diagram
  • C. Grid pages
  • D. Explorer
  • E. Composites

Answer: A,B,E


NEW QUESTION # 49
What can you use to perform cell-based calculations in a story?

  • A. Calculated measures
  • B. Table formulas
  • C. Dimension formulas
  • D. Restricted measures

Answer: B

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 # 50
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