[May 20, 2025] C-SAC-2415 Exam Brain Dumps - Study Notes and Theory [Q25-Q44]

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[May 20, 2025] C-SAC-2415 Exam Brain Dumps - Study Notes and Theory

Pass SAP C-SAC-2415 Test Practice Test Questions Exam Dumps

NEW QUESTION # 25
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
  • B. Append
  • C. Aggregate To
  • D. Signflip

Answer: D


NEW QUESTION # 26
Where can you change a data lock status? Note: There are 2 correct answers to this question.

  • A. Value lock management
  • B. Data action
  • C. Calendar task
  • D. Multi action

Answer: C,D


NEW QUESTION # 27
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

  • A. Use a calculated member
  • B. Use a model converted measure
  • C. Use a dimension hierarchy
  • D. Use a story calculated measure

Answer: A,C


NEW QUESTION # 28
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

  • A. Set Size Limits for Planning Performance in the model.
  • B. Select fluid data entry mode in the story.
  • C. Enable unbooked data in the story.
  • D. Enable Optimize Recommended Planning Area in the model.

Answer: B,D


NEW QUESTION # 29
When scrolling down in a long table, how can you retain column headers? Note: There are 2 correct answers to this question.

  • A. Enable Keeping member names visible
  • B. Freeze Up to column
  • C. Enable Auto-Size And Page Table Vertically
  • D. Freeze Up to row

Answer: B,D


NEW QUESTION # 30
You are using a live connection for a model. Where is the data stored?

  • A. Source system
  • B. SAP Analytics Cloud model
  • C. Public dataset
  • D. Embedded data set

Answer: A

Explanation:
Connections and data preparation
When using a live connection in SAP Analytics Cloud, the data remains stored in the source system. This means that no data is imported or replicated into SAP Analytics Cloud; instead, it is accessed and analyzed in real-time directly from the source system. This approach ensures that the most current data is always used for analysis and that data governance and security policies of the source system remain in control.
Reference:
Live Data Connections to SAP S/4HANA | SAP Help Portal1
SAP Analytics Cloud Connection Guide2
SAP Analytics Cloud Data Connections - InsightCubes
In the context of SAP Analytics Cloud, when using a live connection to connect to a data source, the data remains stored in the source system. This setup means that SAP Analytics Cloud directly queries the data in its original location, without importing or copying it into the SAP Analytics Cloud environment. This approach is advantageous for several reasons, including maintaining a single source of truth, reducing data redundancy, and ensuring data is always up-to-date without the need for synchronization processes. Live connections are particularly useful for real-time or near-real-time data analysis and reporting, providing insights based on the most current data available without the overhead of data replication.
SAP Analytics Cloud documentation and user guides typically emphasize the benefits and use cases of live connections, highlighting how they maintain data in the source system to ensure real-time data access and analysis.
SAP training materials for Data Analysts using SAP Analytics Cloud, including study guides and official certification resources, explain the technical and practical aspects of live connections, including where data is stored and how it is accessed.
Best practice guides for SAP Analytics Cloud, often available through the SAP Community or SAP Knowledge Base, provide insights and recommendations on setting up and using live connections, reinforcing the concept that data stays in the source system.


NEW QUESTION # 31
What is required to use version management in a story?

  • A. Analytic model
  • B. Optimized mode
  • C. Planning model
  • D. Classic mode

Answer: C

Explanation:
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning


NEW QUESTION # 32
What type of predictive scenario can write back to a planning model?

  • A. Regression
  • B. Value driver tree
  • C. Classification
  • D. Time series forecast

Answer: D

Explanation:
In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
Reference:
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models


NEW QUESTION # 33
You need to delete characters from a column in a dataset. What can you use? Note: There are 2 correct answers to this question.

  • A. Transform bar
  • B. Formula bar
  • C. Custom expression editor
  • D. Calculation editor

Answer: A,C


NEW QUESTION # 34
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

  • A. Add a custom widget
  • B. Add a layer to a geo map
  • C. Add JavaScript to a button
  • D. Add a popup

Answer: C,D


NEW QUESTION # 35
Which automatically created dimension type can you delete from an analytic data model?

  • A. Version
  • B. Organization
  • C. Date
  • D. Generic

Answer: D

Explanation:
In an analytic data model within SAP Analytics Cloud, the automatically created dimension type that you can delete is the Generic dimension. This type of dimension is typically used for custom or ad-hoc categorizations and, unlike system-generated dimensions like Date or Version, can be modified or removed as per the specific needs of your data model and analysis requirements.
Reference:
SAP Analytics Cloud Help Documentation: Data Model Dimensions
SAP Analytics Cloud User Guide: Managing Dimensions in Analytic Models


NEW QUESTION # 36
What account types use the average rate type? Note: There are 2 correct answers to this question.

  • A. LEQ
  • B. EXP
  • C. INC
  • D. AST

Answer: B,C


NEW QUESTION # 37
You want to save your data analyzer result. What is it saved as?

  • A. Model
  • B. Insight
  • C. Dataset
  • D. Story

Answer: B


NEW QUESTION # 38
What must you use to transform data in a dataset using if/then/else logic?

  • A. Formula bar
  • B. Transform bar
  • C. Custom expression editor
  • D. Calculations editor

Answer: C

Explanation:
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation


NEW QUESTION # 39
What source system can you connect to with a live connection?

  • A. SAP Datasphere
  • B. SAP Business ByDesign Analytics
  • C. SAP SuccessFactors
  • D. SAP ERP Central Component

Answer: A

Explanation:
SAP Analytics Cloud can establish a live connection with various source systems, including SAP Datasphere. This allows for real-time data access and analysis without the need to replicate data into the cloud, which is beneficial for scenarios where data privacy and security are paramount.
Reference:
SAP Analytics Cloud Connection Guide1
SAC Live and Import Connection Overview2
SAP Analytics Cloud: Expand Live Data Source Options3
Live connection in SAP Analytics Cloud: advantages and challenges4
Explaining Where the Data Comes From - SAP Learning5


NEW QUESTION # 40
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 can schedule the dataset to update on a regular basis.
  • B. You must refresh the story that uses the dataset.
  • C. You must create a new dataset.
  • D. You must manually reimport the data.

Answer: A

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.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources


NEW QUESTION # 41
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

  • A. Include the story in a Discussion
  • B. Add a Comment widget to the story
  • C. Create a Review task for the story
  • D. Share with View access

Answer: B


NEW QUESTION # 42
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

  • A. Imported data model
  • B. Data analyzer insight
  • C. Standalone dataset
  • D. Live data model
  • E. Embedded data set

Answer: A,C,E

Explanation:
In SAP Analytics Cloud, data concatenation can be performed on Embedded datasets, Standalone datasets, and Imported data models. This process involves combining data from multiple sources or tables into a single dataset or model, providing a unified view of the data. This is particularly useful for analyses that require a comprehensive dataset compiled from various data sources.
Reference:
SAP Analytics Cloud Help Documentation: Working with Datasets
SAP Analytics Cloud User Guide: Concatenating Data in Models and Datasets


NEW QUESTION # 43
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.

  • A. Actual
  • B. Forecast
  • C. Predictive
  • D. Budget

Answer: A,D


NEW QUESTION # 44
......


SAP C-SAC-2415 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.
Topic 2
  • Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.
Topic 3
  • Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.
Topic 4
  • Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
Topic 5
  • Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.

 

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