[2026年03月] ベストな問題集を使おう SAP Certified Associate C-SAC-2501 専門試験問題 [Q30-Q54]

[2026年03月] ベストな問題集を使おうSAP Certified Associate C-SAC-2501専門試験問題

100%の合格率を試そう！更新されたのはC-SAC-2501試験問題 [2026]

質問 # 30
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.

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

正解：A、C

質問 # 31
What can you use to perform cell-based calculations in a story?

A. Restricted measures
B. Dimension formulas
C. Table formulas
D. Calculated measures

正解：C

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 # 32
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. Driver
B. Reference
C. Redistribute
D. Distribute

正解：A

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 # 33
What is required to use version management in a story?

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

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 # 34
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. Use two properties
B. Dis-able allocations
C. Use two hierarchies
D. Dis-able distribution

正解：C

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 # 35
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

A. Calculated measures
B. Linked dimensions
C. Conditional formatting
D. Input controls
E. Charts

正解：A、C、E

質問 # 36
What type of predictive scenario can write back to a planning model?

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

正解：D

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 # 37
What source system can you connect to with a live connection?

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

正解：C

解説：
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

質問 # 38
You are using a live connection for a model. Where can you define data security?

A. SAP Analytics Cloud model
B. Source system
C. SAP Analytics Cloud role
D. Data access control

正解：B

解説：
When using a live connection in SAP Analytics Cloud, data security is defined and managed within the source system. This approach leverages the existing security protocols and permissions set up in the source system, ensuring that data governance and access controls remain consistent and are centrally managed. Users accessing data through SAP Analytics Cloud with a live connection will be subject to the same security constraints and permissions as if they were accessing the data directly from the source system. This integration ensures a unified security model, simplifying administration and ensuring data security and compliance.

質問 # 39
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

A. Date
B. Organization
C. Entity
D. Version

正解：A、D

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 # 40
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

A. Many story filters
B. Many data sources
C. Many hyperlinks
D. Large calculation scope
E. Complex formatting

正解：A、B、E

質問 # 41
What account types use the average rate type? Note: There are 2 correct answers to this question.

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

正解：A、D

質問 # 42
You are designing a new story. You want the size and position of widgets to adjust dynamically for viewing on different devices and screen sizes. Which page type must you use?

A. Composite
B. Responsive
C. Grid
D. Canvas

正解：B

解説：
For designing a new story in SAP Analytics Cloud where the size and position of widgets need to adjust dynamically for different devices and screen sizes, the Responsive page type should be used. Responsive pages automatically adapt to the screen size of the device they are viewed on, providing an optimal viewing experience across desktops, tablets, and smartphones.
Reference:
SAP Analytics Cloud Help Documentation: Responsive Design in Stories
SAP Analytics Cloud User Guide: Building Responsive Pages

質問 # 43
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

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

正解：A、C

質問 # 44
The SAP Analytics Cloud (SAC) modeler has removed the first three characters from an SAP Analytics Cloud public dimension imported from a source system. What is impacted by this change?

A. Source system
B. Embedded data sets
C. Public datasets
D. Stories

正解：D

解説：
When the SAP Analytics Cloud (SAC) modeler removes the first three characters from a public dimension imported from a source system, this change impacts Stories that use this dimension. Specifically, any visualizations, calculations, or filters within those stories that rely on the original dimension values may need to be adjusted to account for the change. This modification does not affect the source system or public datasets directly, but it can impact how the data appears and behaves in stories that use the modified dimension.
Reference:
SAP Analytics Cloud Help Documentation: Modifying Dimensions
SAP Analytics Cloud User Guide: Impact of Dimension Changes on Stories

質問 # 45
Where can you create a blank planning version?

A. In the version dimension
B. In the planning model
C. In version management
D. In a data cell

正解：C

解説：
A blank planning version in SAP Analytics Cloud can be created within the Version Management feature. This area of the platform allows users to manage different versions of their data, such as budgets, forecasts, and what-if scenarios. Creating a blank version provides a clean slate for planning activities, without pre-existing data, enabling users to start fresh with their assumptions and inputs.
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Creating New Versions for Planning

質問 # 46
How can you limit the refresh time of a story?

A. Create calculated measures
B. Use canvas pages
C. Implement a value driver tree
D. Collapse the hierarchy

正解：D

解説：
Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance

質問 # 47
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. Analytic
B. Planning
C. Standalone
D. Embedded

正解：A、B

質問 # 48
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.

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

正解：B、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
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 manually reimport the data.
B. You must create a new dataset.
C. You must refresh the story that uses the dataset.
D. You can schedule the dataset to update on a regular basis.

正解：D

解説：
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

質問 # 50
You are creating a styling rule for a table with a hierarchy of Country, Region, and City. You want to apply the styling rule only to countries. Which level option must you use?

A. Self and Siblings
B. Self
C. Self and Descendants
D. Self and Children

正解：B

解説：
To apply a styling rule only to countries in a table with a hierarchy of Country, Region, and City in SAP Analytics Cloud, you must use the "Self" level option. This option ensures that the styling rule is applied specifically to the level of the hierarchy representing countries, without affecting the styling of regions, cities, or any other hierarchical levels.
Reference:
SAP Analytics Cloud Help Documentation: Styling Hierarchical Tables
SAP Analytics Cloud User Guide: Hierarchical Styling Options

質問 # 51
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. Group the Firstname and Lastname in the data model.
B. Create a calculated dimension in the story.
C. Create the combined data in the source system.
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 # 52
Which dimension type can you use like a measure?

A. Organization
B. Account
C. Entity
D. Date

正解：B

解説：
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.
Reference:
SAP Analytics Cloud Help Documentation: Understanding Dimensions and Measures SAP Analytics Cloud User Guide: Working with Account Dimensions

質問 # 53
Where can you change a data lock status? Note: There are 2 correct answers to this question.