[2024年11月03日] 365日更新、有効なC-SAC-2415知能問題集
ベスト品質のC-SAC-2415試験問題集でSAPテスト高得点を目指そう
SAP C-SAC-2415 認定試験の出題範囲：
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質問 # 33
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. Add the month as a suffix to the Year measure.
- D. Includes the Year measure in a level-based time hierarchy in the dataset.
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 # 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. Dis-able distribution
- B. Dis-able allocations
- C. Use two hierarchies
- D. Use two properties
正解：C
質問 # 35
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Aggregation
- B. Date Difference
- C. Difference From
- D. Restricted Measure
正解：C、D
質問 # 36
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Live
- B. On-premise
- C. Cloud
- D. Import
正解：A、D
解説：
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn't change frequently, or there's a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios
質問 # 37
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
- A. Create cross-calculation
- B. Filter data
- C. Drill down on data
- D. Input data
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 # 38
What can you use to organize dimensions into logical categories in a live model?
- A. Groups
- B. Level-based hierarchy
- C. Value driver tree
- D. Parent-child hierarchy
正解：D
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 # 39
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 HANA view
- B. SAP Analytics Cloud public dataset
- C. SAP BusinessObjects Universe
- D. SAP Analytics Cloud analytic model
- E. SAP Datasphere model
正解：A、D、E
質問 # 40
What can you do with a multi action? Note: There are 2 correct answers to this question.
- A. Run allocation processes
- B. Approve data
- C. Import transaction data
- D. Run allocation data actions
正解：C、D
質問 # 41
Where can you change a data lock status? Note: There are 2 correct answers to this question.
- A. Multi action
- B. Data action
- C. Value lock management
- D. Calendar task
正解：A、D
質問 # 42
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 # 43
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.
- A. Lane
- B. Table
- C. Chart
- D. Composite
正解：B、C
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 # 44
You are using a live connection for a model. Where can you define data security?
- A. SAP Analytics Cloud model
- B. SAP Analytics Cloud role
- C. Data access control
- D. Source system
正解：D
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 # 45
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 # 46
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. Aggregate To
- B. Append
- C. Signflip
- D. Unbooked
正解：C
質問 # 47
In a data model, what can you use to further describe a dimension?
- A. Property
- B. Measure
- C. Data action
- D. Variable
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 # 48
Where can you create a blank planning version?
- A. In the version dimension
- B. In the planning model
- C. In a data cell
- D. In version management
正解：D
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 # 49
What account types use the average rate type? Note: There are 2 correct answers to this question.
- A. AST
- B. EXP
- C. INC
- D. LEQ
正解：B、C
質問 # 50
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. Dis-able distribution
- B. Dis-able allocations
- C. Use two hierarchies
- D. Use two properties
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 # 51
What can you use input controls for in a story? Note: There are 2 correct answers to this question.
- A. Implementing row-level and column-level security in a table
- B. Filtering data on a page
- C. Changing dimensions or measures displayed in a table
- D. Selecting an alternate data source
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 # 52
What must you use to transform data in a dataset using if/then/else logic?
- A. Formula bar
- B. Transform bar
- C. Custom expression editor
- D. Calculations editor
正解：C
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 # 53
You are using a live connection for a model. Where is the data stored?
- A. SAP Analytics Cloud model
- B. Public dataset
- C. Embedded data set
- D. Source system
正解：D
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 # 54
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. Canvas
- B. Responsive
- C. Grid
- D. Composite
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 # 55
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 dimension hierarchy
- C. Use a story calculated measure
- D. Use a model converted measure
正解：A、B
質問 # 56
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. Embedded
- B. Standalone
- C. Planning
- D. Analytic
正解：C、D
質問 # 57
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