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C_SAC_2501 Practice Exam Pdf - C_SAC_2501 Examcollection
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SAP Certified Associate - Data Analyst - SAP Analytics Cloud Sample Questions (Q26-Q31):
NEW QUESTION # 26
How can you limit the refresh time of a story?
- A. Implement a value driver tree
- B. Use canvas pages
- C. Collapse the hierarchy
- D. Create calculated measures
Answer: C
Explanation:
Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance
NEW QUESTION # 27
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 data functions
- C. Use fewer IF statements
- D. Use fewer MEMBERSET statements
- E. Use fewer aggregation dimension functions
Answer: A,B,C
NEW QUESTION # 28
You are creating a script for an advanced data action. Which character designates a virtual variable member?
- A. *
- B. %
- C. /
- D. #
Answer: B
NEW QUESTION # 29
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.
- A. Allow model import
- B. Refresh the import job
- C. Schedule the import
- D. Refresh the story
Answer: C,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.
NEW QUESTION # 30
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Cloud
- B. On-premise
- C. Live
- D. Import
Answer: C,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
NEW QUESTION # 31
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