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Free SAP C_SAC_2415 Exam Questions (page: 5)

Page 3 of 16
PDF with 60 Questions

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?

  1. Change the Year measure to a dimension in the dataset.
  2. Includes the Year measure in a level-based time hierarchy in the dataset.
  3. Insert a character into the Year measure using the transform bar.
  4. Add the month as a suffix to the Year measure.

Answer(s): A

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.



You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model?
Note: There are 2 correct answers to this question.

  1. Allow model import
  2. Refresh the story
  3. Refresh the import job
  4. Schedule the import

Answer(s): B,D

Explanation:

To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention. Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.



You need to delete characters from a column in a dataset.
What can you use?
Note: There are 2 correct answers to this question.

  1. Custom expression editor
  2. Formula bar
  3. Calculation editor
  4. Transform bar

Answer(s): A,D



What can you use to organize dimensions into logical categories in a live model?

  1. Level-based hierarchy
  2. Groups
  3. Value driver tree
  4. Parent-child hierarchy

Answer(s): D

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



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