（PDF)SAP Certified Associate C_SAC_2415試験と認定テストエンジン
無料提供中のC_SAC_2415試験問題集で（2024年最新のPDF問題集）信頼度の高いC_SAC_2415テストエンジン
SAP C_SAC_2415 認定試験の出題範囲：
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質問 # 21
You are entering values for several expense accounts in a data table. Which data entry mode must you use to process the data with a delay defined in System Administration?
- A. Fluid
- B. Single
- C. Mass
正解：A
質問 # 22
What can you use to perform cell-based calculations in a story?
- A. Restricted measures
- B. Calculated measures
- C. Dimension formulas
- D. Table formulas
正解：D
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 # 23
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 a popup
- D. Add JavaScript to a button
正解：C、D
質問 # 24
You are using a live connection for a model. Where can you define data security?
- A. Source system
- B. SAP Analytics Cloud model
- C. Data access control
- D. SAP Analytics Cloud role
正解：A
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 # 25
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 level-based hierarchy in the dataset.
- B. Create a group that includes the dimensions.
- C. Convert the embedded dataset to a model.
- D. Create a parent-child hierarchy in the dataset.
正解：A
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 # 26
Which dimension type can you use like a measure?
- A. Organization
- B. Entity
- C. Date
- D. Account
正解：D
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 # 27
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. Publish
- B. Save
- C. Nothing
- D. Send
正解：A
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 # 28
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
- A. Selecting an alternate data source
- B. Changing dimensions or measures displayed in a table
- C. Filtering data on a page
- D. Implementing row-level and column-level security in a table
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 # 29
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Run allocation data actions
- B. Approve data
- C. Import transaction data
- D. Run allocation processes
正解：A、C
質問 # 30
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. Hierarchy
- C. Cardinality
- D. Granularity
正解：C
質問 # 31
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 hierarchies
- B. Use two properties
- C. Dis-able allocations
- D. Dis-able distribution
正解：A
質問 # 32
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 font size of the axis labels
- B. Select the Avoid Data Label Overlap checkbox
- C. Increase the overall size of the chart widget on the page
正解：B
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 # 33
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Embedded data set
- B. Standalone dataset
- C. Live data model
- D. Imported data model
- E. Data analyzer insight
正解：A、B、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 # 34
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 # 35
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.
- A. Forecast
- B. Budget
- C. Actual
- D. Predictive
正解：B、C
質問 # 36
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud interprets it as a measure. How can you ensure that it is treated as a calendar year?
- A. Change the Year measure to a dimension in the dataset.
- B. Insert a character into the Year measure using the transform bar.
- C. Includes the Year measure in a level-based time hierarchy in the dataset.
- D. Add the month as a suffix to the Year measure.
正解：A
解説：
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.
質問 # 37
Where can you create a blank planning version?
- A. In version management
- B. In a data cell
- C. In the version dimension
- D. In the planning model
正解：A
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 # 38
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?
- A. Create a Review task for the story
- B. Include the story in a Discussion
- C. Share with View access
- D. Add a Comment widget to the story
正解：D
質問 # 39
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. Linked widgets diagram
- E. Explorer
正解：B、C、D
質問 # 40
Which SAP Analytics Cloud feature uses natural language processing?
- A. Smart insight
- B. Data analyzer
- C. Just Ask feature
- D. Digital boardroom
正解：A
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 BusinessObjects Universe
- B. SAP Datasphere model
- C. SAP Analytics Cloud analytic model
- D. SAP HANA view
- E. SAP Analytics Cloud public dataset
正解：B、C、D
質問 # 42
You want to display differences between measures in a chart. What can you use?
- A. Restricted measure
- B. Variance
- C. Threshold
- D. Reference line
正解：B
解説：
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
Reference:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance
質問 # 43
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Calculations
- B. Measures
- C. Hierarchies
- D. Dimensions
正解：B、D
解説：
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models
質問 # 44
You are using a live connection for a model. Where is the data stored?
- A. Public dataset
- B. Source system
- C. Embedded data set
- D. SAP Analytics Cloud model
正解：B
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 # 45
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