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C_SAC_2415: SAP Certified Associate - Data Analyst - SAP Analytics Cloud

Vendor:

SAP

Exam Questions:
60
 Learners
  2.370
Last Updated
March - 2025
Language
English
2 Quizzes
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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?

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What account types use the average rate type? Note: There are 2 correct answers to this question.

INC

INC

AST

AST

EXP

EXP

LEQ

LEQ

Suggested answer: A, C
asked 31/10/2024
Wojciech Romaldowski
48 questions

Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

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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?

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You want to total several income and expense accounts using the account type property.

What configuration option in the advanced formula must you use?

Unbooked

Unbooked

Append

Append

Signflip

Signflip

Aggregate To

Aggregate To

Suggested answer: C
asked 31/10/2024
claudine Nguepnang
48 questions

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

Level-based hierarchy

Level-based hierarchy

Groups

Groups

Value driver tree

Value driver tree

Parent-child hierarchy

Parent-child hierarchy

Suggested answer: 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.

SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies

SAP Analytics Cloud User Guide: Working with Models

asked 31/10/2024
Benito Gonzalez
40 questions

What can you use input controls for in a story? Note: There are 2 correct answers to this question.

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Which dimension type can you use like a measure?

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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

Allow model import

Refresh the story

Refresh the story

Refresh the import job

Refresh the import job

Schedule the import

Schedule the import

Suggested answer: 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.

asked 31/10/2024
Salman Hashmi
41 questions