試験問題解答ブレーン問題集でC_SAC_2421試験問題集PDF問題
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SAP C_SAC_2421 認定試験の出題範囲：
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質問 # 19
What can you use to organize dimensions into logical categories in a live model?
- A. Value driver tree
- B. Parent-child hierarchy
- C. Groups
- 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 # 20
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 # 21
Which dimension type can you use like a measure?
- A. Date
- B. Account
- C. Entity
- D. Organization
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 # 22
What must you use to transform data in a dataset using if/then/else logic?
- A. Formula bar
- B. Custom expression editor
- C. Calculations editor
- D. Transform bar
正解：B
解説：
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation
質問 # 23
What type of predictive scenario can write back to a planning model?
- A. Value driver tree
- B. Time series forecast
- C. Classification
- 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 # 24
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.
- A. Many data sources
- B. Large calculation scope
- C. Many hyperlinks
- D. Many story filters
- E. Complex formatting
正解：A、D、E
質問 # 25
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Approve data
- B. Run allocation data actions
- C. Run allocation processes
- D. Import transaction data
正解：B、D
質問 # 26
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. Distribute
- B. Driver
- C. Redistribute
- D. Reference
正解：B
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 # 27
What source system can you connect to with a live connection?
- A. SAP Business ByDesign Analytics
- B. SAP SuccessFactors
- 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 # 28
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. Public datasets
- B. Stories
- C. Embedded data sets
- D. Source system
正解：B
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 # 29
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 parent-child hierarchy in the dataset.
- C. Create a group that includes the dimensions.
- D. Convert the embedded dataset to a model.
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 # 30
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Embedded data set
- B. Imported data model
- C. Data analyzer insight
- D. Standalone dataset
- E. Live data model
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 # 31
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.
- A. Composite
- B. Lane
- C. Chart
- D. Table
正解：C、D
解説：
In SAP Analytics Cloud stories, conditional formatting can be applied to Table and Chart elements. This feature allows users to visually highlight data points based on specific conditions, such as thresholds, ranges, or comparisons, making it easier to identify trends, outliers, or areas of interest within the data presented in tables and charts.
Reference:
SAP Analytics Cloud Help Documentation: Conditional Formatting
SAP Analytics Cloud User Guide: Applying Conditional Formatting to Tables and Charts
質問 # 32
You are using a live connection for a model. Where can you define data security?
- A. SAP Analytics Cloud role
- B. Source system
- C. SAP Analytics Cloud model
- 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 # 33
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 distribution
- C. Dis-able allocations
- D. Use two hierarchies
正解：D
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 # 34
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. Grid
- B. Canvas
- C. Responsive
- D. Composite
正解：C
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 # 35
You want to save your data analyzer result. What is it saved as?
- A. Model
- B. Dataset
- C. Story
- D. Insight
正解：D
質問 # 36
You are creating a script for an advanced data action. Which character designates a virtual variable member?
- A. /
- B. #
- C. %
- D. *
正解：A
質問 # 37
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Difference From
- B. Date Difference
- C. Aggregation
- D. Restricted Measure
正解：A、D
質問 # 38
Which automatically created dimension type can you delete from an analytic data model?
- A. Date
- B. Version
- C. Generic
- D. Organization
正解：C
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 # 39
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. Transform bar
- B. Formula bar
- C. Calculation editor
- D. Custom expression editor
正解：A、D
質問 # 40
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. Standalone
- B. Embedded
- C. Analytic
- D. Planning
正解：C、D
質問 # 41
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. ABAP
- B. Wrangling Expression Language
- C. Python
- D. JavaScript
正解：D
質問 # 42
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. Mass
- C. Single
正解：A
質問 # 43
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