SAP C_SAC_2415試験問題（更新されたのは2025年）100%リアル問題解答
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質問 # 30
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. Refresh the story
- B. Schedule the import
- C. Allow model import
- D. Refresh the import job
正解：A、B
解説：
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.
質問 # 31
You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?
- A. Level
- B. Granularity
- C. Hierarchy
- D. Cardinality
正解：D
質問 # 32
What source system can you connect to with a live connection?
- A. SAP SuccessFactors
- B. SAP Business ByDesign Analytics
- C. SAP Datasphere
- D. SAP ERP Central Component
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 # 33
You input new data for a private version in a story. What must you do to ensure the new data is added to the model?
- A. Nothing
- B. Save
- C. Send
- D. Publish
正解：D
解説：
When inputting new data for a private version in a story in SAP Analytics Cloud, it is necessary to "Publish" the data to ensure it is added to the model. Publishing the private version commits the changes to the underlying model, making the new data visible and accessible to other users according to their permissions. This step is crucial for ensuring that the updated data is incorporated into the shared model for further analysis and decision-making.
Reference:
SAP Analytics Cloud Help Documentation: Private Versions and Publishing SAP Analytics Cloud User Guide: Working with Private Versions in Stories
質問 # 34
How can you limit the refresh time of a story?
- A. Implement a value driver tree
- B. Create calculated measures
- C. Collapse the hierarchy
- D. Use canvas pages
正解：C
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 # 35
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. Select fluid data entry mode in the story.
- C. Enable unbooked data in the story.
- D. Set Size Limits for Planning Performance in the model.
正解：A、B
質問 # 36
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. Embedded
- D. Standalone
正解：A、B
質問 # 37
Your embedded dataset in SAP Analytics Cloud has columns for Country, Region, City, and Customer Name. You want to aggregate measures for these columns as a single column. What can you do?
- A. Create a group that includes the dimensions.
- B. Create a parent-child hierarchy in the dataset.
- C. Convert the embedded dataset to a model.
- D. Create a level-based hierarchy in the dataset.
正解：D
解説：
To aggregate measures for columns such as Country, Region, City, and Customer Name as a single column in an embedded dataset, creating a level-based hierarchy is the most effective approach. This type of hierarchy allows you to define a multi-level structure that represents the logical relationship between different geographical entities and customer names. By doing so, you can easily perform aggregations and analyze data at various levels of detail, from the broadest level (e.g., Country) down to the most specific one (e.g., Customer Name).
Reference:
SAP Analytics Cloud Help Documentation: Creating Hierarchies in Models
SAP Analytics Cloud User Guide: Data Modeling and Hierarchies
質問 # 38
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Explorer
- B. Undo button
- C. Composites
- D. Grid pages
- E. Linked widgets diagram
正解：B、C、E
質問 # 39
You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?
- A. Increase the overall size of the chart widget on the page
- B. Increase the font size of the axis labels
- C. Select the Avoid Data Label Overlap checkbox
正解：C
解説：
To ensure that labels are always visible on a column chart in a story, you should select the "Avoid Data Label Overlap" checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
Reference:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts
質問 # 40
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 BusinessObjects Universe
- B. SAP Analytics Cloud public dataset
- C. SAP Analytics Cloud analytic model
- D. SAP HANA view
- E. SAP Datasphere model
正解：C、D、E
質問 # 41
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 story calculated measure
- C. Use a model converted measure
- D. Use a dimension hierarchy
正解：A、D
質問 # 42
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 custom widget
- C. Add a layer to a geo map
- D. Add JavaScript to a button
正解：A、D
質問 # 43
Where can you change a data lock status? Note: There are 2 correct answers to this question.
- A. Calendar task
- B. Value lock management
- C. Data action
- D. Multi action
正解：A、D
質問 # 44
What can you use to organize dimensions into logical categories in a live model?
- A. Groups
- B. Parent-child hierarchy
- C. Value driver tree
- D. Level-based hierarchy
正解：B
解説：
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.
Reference:
SAP Analytics Cloud Help Documentation: Creating and Managing Hierarchies SAP Analytics Cloud User Guide: Working with Models
質問 # 45
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
- A. Input data
- B. Filter data
- C. Drill down on data
- D. Create cross-calculation
正解：B、C
解説：
In Data Analyzer, users can perform various tasks to analyze their data, including filtering data and drilling down on data. Filtering allows users to narrow down the dataset to focus on specific subsets of data, enhancing the analysis's relevancy. Drilling down provides the ability to explore data at a more granular level, revealing deeper insights into the data points and trends within the larger dataset.
Reference:
SAP Analytics Cloud Help Documentation: Data Analyzer Usage
SAP Analytics Cloud User Guide: Filtering and Drilling Down in Data Analyzer
質問 # 46
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
正解：B
質問 # 47
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
正解：A
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 # 48
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Date Difference
- B. Difference From
- C. Aggregation
- D. Restricted Measure
正解：B、D
質問 # 49
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Approve data
- B. Run allocation processes
- C. Run allocation data actions
- D. Import transaction data
正解：C、D
質問 # 50
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Linked dimensions
- B. Input controls
- C. Conditional formatting
- D. Calculated measures
- E. Charts
正解：C、D、E
質問 # 51
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 can schedule the dataset to update on a regular basis.
- C. You must refresh the story that uses the dataset.
- D. You must create a new dataset.
正解：B
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 # 52
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. EXP
- B. INC
- C. AST
- D. LEQ
正解：A、B
質問 # 53
You want to use an input control to filter data appearing in a story. At what level is the filter applied?
- A. Component
- B. Page
- C. Story
- D. Calculation
正解：B
解説：
When using an input control to filter data in a SAP Analytics Cloud story, the filter is applied at the Page level. This means that the selected filter criteria will affect all the components (tables, charts, etc.) on that particular page, allowing for a cohesive and consistent view of the data filtered according to the chosen parameters.
Reference:
SAP Analytics Cloud Help Documentation: Filtering Data with Input Controls SAP Analytics Cloud User Guide: Page-Level Filtering in Stories
質問 # 54
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