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SAP C_SAC_2415 Exam (page: 2)
SAP Certified Associate - Data Analyst - Analytics Cloud
Updated on: 12-Feb-2026

Viewing Page 2 of 13
C_SAC_2415 PDF 60 Questions

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



What are the available connection types in SAP Analytics Cloud?
Note: There are 2 correct answers to this question.

  1. Live
  2. On-premise
  3. Cloud
  4. Import

Answer(s): A,D

Explanation:

SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn't change frequently, or there's a need for data transformation and enrichment within SAP Analytics Cloud.


Reference:

SAP Analytics Cloud Help Documentation: Data Connections Overview SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios



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?

  1. Create a group that includes the dimensions.
  2. Create a level-based hierarchy in the dataset.
  3. Create a parent-child hierarchy in the dataset.
  4. Convert the embedded dataset to a model.

Answer(s): 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



Viewing Page 2 of 13



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