準備できるC_SAC_2421問題解答は無料更新されて100%試験合格保証 [2025]
問題集リアルなSAP C_SAC_2421試験問題 [更新されたのは2025年]
SAP C_SAC_2421 認定試験の出題範囲：
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質問 # 31
In a data model, what can you use to further describe a dimension?
- A. Property
- B. Variable
- C. Data action
- D. Measure
正解：A
解説：
In a data model within SAP Analytics Cloud, Properties are used to further describe dimensions. Properties provide additional context or metadata for dimension members, such as descriptions, classifications, or other attributes that help to better understand and analyze the data within the dimension. This makes properties essential for detailed data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Dimension Properties
SAP Analytics Cloud User Guide: Enhancing Dimensions with Properties
質問 # 32
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. Single
- B. Mass
- C. Fluid
正解：C
質問 # 33
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. Standalone
- C. Analytic
- D. Embedded
正解：A、C
質問 # 34
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 HANA view
- C. SAP Analytics Cloud analytic model
- D. SAP BusinessObjects Universe
- E. SAP Analytics Cloud public dataset
正解：A、B、C
質問 # 35
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Grid pages
- B. Composites
- C. Undo button
- D. Linked widgets diagram
- E. Explorer
正解：B、C、D
質問 # 36
You want to use an input control to filter data appearing in a story. At what level is the filter applied?
- A. Story
- B. Component
- C. Page
- D. Calculation
正解：C
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 # 37
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. Imported data model
- D. Live data model
- E. Data analyzer insight
正解：A、B、C
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 # 38
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.
- A. Complex formatting
- B. Many hyperlinks
- C. Large calculation scope
- D. Many data sources
- E. Many story filters
正解：A、D、E
質問 # 39
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 # 40
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. Stories
- B. Source system
- C. Embedded data sets
- D. Public datasets
正解：A
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 # 41
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Date Difference
- B. Aggregation
- C. Restricted Measure
- D. Difference From
正解：C、D
質問 # 42
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
正解：D
質問 # 43
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.
- A. Forecast
- B. Actual
- C. Budget
- D. Predictive
正解：B、C
質問 # 44
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. LEQ
- B. INC
- C. AST
- D. EXP
正解：B、D
質問 # 45
Which dimension type can you use like a measure?
- A. Date
- B. Entity
- C. Organization
- 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 # 46
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. Calculation editor
- B. Formula bar
- C. Transform bar
- D. Custom expression editor
正解：C、D
質問 # 47
How can you improve the performance of advanced data actions? Note: There are 3 correct answers to this question.
- A. Use fewer MEMBERSET statements
- B. Use fewer IF statements
- C. Use fewer aggregation dimension functions
- D. Use fewer FOREACH functions
- E. Use fewer data functions
正解：B、D、E
質問 # 48
What source system can you connect to with a live connection?
- A. SAP SuccessFactors
- B. SAP Business ByDesign Analytics
- C. SAP ERP Central Component
- D. SAP Datasphere
正解：D
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 # 49
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. Includes the Year measure in a level-based time hierarchy in the dataset.
- B. Change the Year measure to a dimension in the dataset.
- C. Insert a character into the Year measure using the transform bar.
- D. Add the month as a suffix to the Year measure.
正解：B
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 # 50
You are using a live connection for a model. Where can you define data security?
- A. SAP Analytics Cloud role
- B. Source system
- C. Data access control
- D. SAP Analytics Cloud model
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 # 51
Which automatically created dimension type can you delete from an analytic data model?
- A. Date
- B. Generic
- C. Organization
- D. Version
正解：B
解説：
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
質問 # 52
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.
- A. Avaid prompts
- B. Load widgets in the background
- C. Use responsive pages
- D. Avaid tables with more than 500 rows and 60 columns
- E. Use conditional formatting
正解：B、D、E
質問 # 53
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