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C_SAC_2415: SAP Certified Associate - Data Analyst - SAP Analytics Cloud
Exam Number: C_SAC_2415
Exam Name: SAP Certified Associate - Data Analyst - SAP Analytics Cloud
Length of test: 120 mis
Exam Format: Multiple-choice, Drag and Drop, and HOTSPOT questions.
Exam Language: English
Number of questions in the actual exam: 60 questions
Passing Score: 70%
Topics Covered: Data Modeling, Analysis, and Integration: 21% - 30%, Story Design: 21% - 30%, Planning: 21% - 30%, Connections and Data Preparation: 11% - 20%, Performance, Troubleshooting, and Security Management: ≤ 10%.
This study guide should help you understand what to expect on the C_SAC_2415 exam and includes a summary of the topics the exam might cover and links to additional resources. The information and materials in this document should help you focus your studies as you prepare for the exam.
Related questions
What is required to use version management in a story?
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You want to use an input control to filter data appearing in a story. At what level is the filter applied?
What account types use the average rate type? Note: There are 2 correct answers to this question.
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?
You want to total several income and expense accounts using the account type property.
What configuration option in the advanced formula must you use?
What can you use to organize dimensions into logical categories in a live model?
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Which dimension type can you use like a 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.
Allow model import
Refresh the story
Refresh the import job
Schedule the import
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.
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