C-SAC-2421 VALID TEST REVIEW - C-SAC-2421 PREPARATION STORE

C-SAC-2421 Valid Test Review - C-SAC-2421 Preparation Store

C-SAC-2421 Valid Test Review - C-SAC-2421 Preparation Store

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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q56-Q61):

NEW QUESTION # 56
You are creating a styling rule for a table with a hierarchy of Country, Region, and City. You want to apply the styling rule only to countries. Which level option must you use?

  • A. Self and Descendants
  • B. Self and Siblings
  • C. Self and Children
  • D. Self

Answer: D

Explanation:
To apply a styling rule only to countries in a table with a hierarchy of Country, Region, and City in SAP Analytics Cloud, you must use the "Self" level option. This option ensures that the styling rule is applied specifically to the level of the hierarchy representing countries, without affecting the styling of regions, cities, or any other hierarchical levels.
Reference:
SAP Analytics Cloud Help Documentation: Styling Hierarchical Tables
SAP Analytics Cloud User Guide: Hierarchical Styling Options


NEW QUESTION # 57
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. Send
  • B. Publish
  • C. Save
  • D. Nothing

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 # 58
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Measures
  • B. Dimensions
  • 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 # 59
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.

  • A. Use fewer FOREACH functions
  • B. Use fewer MEMBERSET statements
  • C. Use fewer aggregation dimension functions
  • D. Use fewer data functions
  • E. Use fewer IF statements

Answer: A,D,E


NEW QUESTION # 60
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?

  • A. Add the month as a suffix to the Year measure.
  • B. Includes the Year measure in a level-based time hierarchy in the dataset.
  • C. Insert a character into the Year measure using the transform bar.
  • D. Change the Year measure to a dimension in the dataset.

Answer: D

Explanation:
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.


NEW QUESTION # 61
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