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

SAP Certified Associate - Data Analyst - SAP Analytics Cloud
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SAP

SAP Certified Associate - Data Analyst - SAP Analytics Cloud Exam Questions: 60
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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.

A.

INC

A.

INC

Answers
B.

AST

B.

AST

Answers
C.

EXP

C.

EXP

Answers
D.

LEQ

D.

LEQ

Answers
Suggested answer: A, C
asked 31/10/2024
Wojciech Romaldowski
43 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?

A.

You must create a new dataset.

A.

You must create a new dataset.

Answers
B.

You must manually reimport the data.

B.

You must manually reimport the data.

Answers
C.

You must refresh the story that uses the dataset.

C.

You must refresh the story that uses the dataset.

Answers
D.

You can schedule the dataset to update on a regular basis.

D.

You can schedule the dataset to update on a regular basis.

Answers
Suggested answer: D

Explanation:

For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.

SAP Analytics Cloud Help Documentation: Scheduling Data Refresh

SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources

asked 31/10/2024
Bright Ngobeni
40 questions

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

What configuration option in the advanced formula must you use?

A.

Unbooked

A.

Unbooked

Answers
B.

Append

B.

Append

Answers
C.

Signflip

C.

Signflip

Answers
D.

Aggregate To

D.

Aggregate To

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

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

A.

Level-based hierarchy

A.

Level-based hierarchy

Answers
B.

Groups

B.

Groups

Answers
C.

Value driver tree

C.

Value driver tree

Answers
D.

Parent-child hierarchy

D.

Parent-child hierarchy

Answers
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
36 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?

A.

Account

A.

Account

Answers
B.

Date

B.

Date

Answers
C.

Organization

C.

Organization

Answers
D.

Entity

D.

Entity

Answers
Suggested answer: A

Explanation:

In SAP Analytics Cloud, the Account dimension can be used similarly to a measure. This dimension is specifically designed for financial data and can hold various types of financial metrics, such as revenues, expenses, assets, and liabilities. It allows for the application of financial calculations and aggregations, which is why it can function similarly to measures in the context of financial reporting and analysis.

SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures

SAP Analytics Cloud User Guide: Working with Account Dimensions

asked 31/10/2024
David Vicente Martinez
33 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.

A.

Allow model import

A.

Allow model import

Answers
B.

Refresh the story

B.

Refresh the story

Answers
C.

Refresh the import job

C.

Refresh the import job

Answers
D.

Schedule the import

D.

Schedule the import

Answers
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
33 questions