[2025年07月22日]C-SAC-2415試験問題集を試そう！ベストC-SAC-2415試験問題
検証済みのC-SAC-2415テスト問題集で正確な62問題と解答
質問 # 35
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 row
- C. Freeze Up to column
- D. Enable Auto-Size And Page Table Vertically
正解：B、C
質問 # 36
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. JavaScript
- B. ABAP
- C. Wrangling Expression Language
- D. Python
正解：A
質問 # 37
What can you use to perform cell-based calculations in a story?
- A. Calculated measures
- B. Table formulas
- C. Restricted measures
- D. Dimension formulas
正解：B
解説：
Table formulas in SAP Analytics Cloud are used to perform cell-based calculations within a story. These formulas can be applied directly to table cells, allowing for customized calculations that are specific to the data presented in the table. This feature is particularly useful for ad-hoc analysis and when specific calculations are needed that are not covered by predefined measures or dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Using Table Formulas
SAP Analytics Cloud User Guide: Cell-Based Calculations in Stories
質問 # 38
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Run allocation data actions
- B. Run allocation processes
- C. Import transaction data
- D. Approve data
正解：A、C
質問 # 39
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. Aggregate To
- B. Append
- C. Signflip
- D. Unbooked
正解：C
質問 # 40
What type of predictive scenario can write back to a planning model?
- A. Classification
- B. Time series forecast
- C. Value driver tree
- D. Regression
正解：B
解説：
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
質問 # 41
Which of the following data sources can you use in SAP Analytics Cloud data analyzer? Note: There are 3 correct answers to this question.
- A. SAP Datasphere model
- B. SAP BusinessObjects Universe
- C. SAP Analytics Cloud public dataset
- D. SAP Analytics Cloud analytic model
- E. SAP HANA view
正解：A、D、E
質問 # 42
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. Custom expression editor
- B. Calculation editor
- C. Formula bar
- D. Transform bar
正解：A、D
質問 # 43
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
- A. Implementing row-level and column-level security in a table
- B. Filtering data on a page
- C. Changing dimensions or measures displayed in a table
- D. Selecting an alternate data source
正解：B、C
解説：
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction
質問 # 44
You are creating an allocation step to distribute expenses from the HR cost center to your operating cost centers. Which dimension setting controls how much is distributed to each operating cost center?
- A. Redistribute
- B. Reference
- C. Distribute
- D. Driver
正解：D
解説：
In the context of creating an allocation step to distribute expenses from the HR cost center to operating cost centers in SAP Analytics Cloud, the "Driver" dimension setting is crucial. This setting determines the basis or criteria on which the distribution is calculated and applied to each operating cost center. For instance, the driver could be the number of employees, square footage, or any other relevant metric that justifies the distribution of costs. By defining a driver, you ensure that the allocation of expenses is proportional and fair based on the selected criteria.
Reference:
SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation
質問 # 45
You have a live data model with two dimensions: Firstname and Lastname. Users want a single dimension in the data model that displays the dimensions as Lastname, Firstname. What must you do?
- A. Create a calculated dimension in the story.
- B. Create the combined data in the source system.
- C. Group the Firstname and Lastname in the data model.
- D. Create a calculated dimension in the data model.
正解：D
解説：
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.
Reference:
SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices
質問 # 46
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.
- A. Version
- B. Date
- C. Entity
- D. Organization
正解：A、B
解説：
In a planning data model in SAP Analytics Cloud, the Date and Version dimensions are included by default. The Date dimension is essential for time-based planning and analysis, while the Version dimension allows for the creation and management of different data scenarios, such as budget, forecast, and actuals. These dimensions provide a foundational structure for planning activities within the model.
Reference:
SAP Analytics Cloud Help Documentation: Planning Data Model Basics
SAP Analytics Cloud User Guide: Understanding Default Dimensions in Planning Models
質問 # 47
What is required to use version management in a story?
- A. Optimized mode
- B. Analytic model
- C. Planning model
- D. Classic mode
正解：C
解説：
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning
質問 # 48
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Standalone dataset
- B. Data analyzer insight
- C. Imported data model
- D. Embedded data set
- E. Live data model
正解：A、C、D
解説：
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
質問 # 49
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Grid pages
- B. Undo button
- C. Composites
- D. Explorer
- E. Linked widgets diagram
正解：B、C、E
質問 # 50
You are using a live connection for a model. Where is the data stored?
- A. Public dataset
- B. Embedded data set
- C. SAP Analytics Cloud model
- D. Source system
正解：D
解説：
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.
質問 # 51
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?
- A. Dis-able allocations
- B. Use two hierarchies
- C. Use two properties
- D. Dis-able distribution
正解：B
解説：
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning
質問 # 52
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.
- A. Select fluid data entry mode in the story.
- B. Enable Optimize Recommended Planning Area in the model.
- C. Set Size Limits for Planning Performance in the model.
- D. Enable unbooked data in the story.
正解：A、B
質問 # 53
You are creating a script for an advanced data action. Which character designates a virtual variable member?
- A. %
- B. /
- C. *
- D. #
正解：B
質問 # 54
Your users need to analyze data in a story. What kinds of data models can you create? Note: There are 2 correct answers to this question.
- A. Planning
- B. Analytic
- C. Embedded
- D. Standalone
正解：A、B
質問 # 55
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