実践サンプルと問題集と指導には2024年最新のC_SAC_2415有効なテスト問題集 [Q28-Q48]

実践サンプルと問題集と指導には2024年最新のC_SAC_2415有効なテスト問題集

最新 [2024年12月23日] 100%合格率保証付きの素晴らしいC_SAC_2415試験問題PDF

SAP C_SAC_2415 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Planning: This section measures the proficiency of planning and financial analysts in utilizing SAP Analytics Cloud’s enterprise planning features. It covers working with planning models and stories, configuring data actions, managing versions, and conducting forecasting and simulations.
トピック 2	Performance, Troubleshooting, and Security Management: This section is designed for system administrators and security managers. It involves identifying performance issues, understanding their causes and solutions, and explaining the security model of SAP Analytics Cloud.
トピック 3	Data Modeling, Analysis, and Integration: This section evaluates the expertise of professionals in data modeling and analytics. It emphasizes the creation and configuration of models within SAP Analytics Cloud (SAC), detailing the role and functionalities of the Data Analyzer, and integrating SAC with external applications.
トピック 4	Story Design: This section assesses the skills of data analysts and report designers. It includes the design and presentation of stories within SAC, with a focus on configuring story elements such as pages, tables, charts, and widgets.
トピック 5	Connections and Data Preparation: This section targets data integration specialists and preparers. It involves identifying the various methods SAC employs to access data and understanding the appropriate use cases for each.

質問 # 28
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

A. Charts
B. Input controls
C. Calculated measures
D. Linked dimensions
E. Conditional formatting

正解：A、C、E

質問 # 29
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 # 30
In a data model, what can you use to further describe a dimension?

A. Data action
B. Property
C. Variable
D. Measure

正解：B

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 # 31
What is required to use version management in a story?

A. Planning model
B. Analytic model
C. Optimized mode
D. Classic mode

正解：A

解説：
Reference:
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning

質問 # 32
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. Analytic
C. Standalone
D. Embedded

正解：A、B

質問 # 33
How can you determine node relationships in a value driver tree? Note: There are 2 correct answers to this question.

A. Use a model converted measure
B. Use a calculated member
C. Use a dimension hierarchy
D. Use a story calculated measure

正解：B、C

質問 # 34
You are creating a script for an advanced data action. Which character designates a virtual variable member?

A. %
B. *
C. /
D. #

正解：C

質問 # 35
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 # 36
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 parent-child hierarchy in the dataset.
B. Create a group that includes the dimensions.
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 # 37
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 # 38
What type of predictive scenario can write back to a planning model?

A. Classification
B. Time series forecast
C. Value driver tree
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 # 39
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 import job
B. Allow model import
C. Refresh the story
D. Schedule the import

正解：C、D

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 # 40
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

A. Date Difference
B. Aggregation
C. Difference From
D. Restricted Measure

正解：C、D

質問 # 41
Where can you create a blank planning version?

A. In version management
B. In the planning model
C. In a data cell
D. In the version dimension

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 # 42
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. Publish
C. Send
D. Save

正解：B

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 # 43
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. Custom expression editor
C. Calculation editor
D. Formula bar

正解：A、B

質問 # 44
Which dimension type can you use like a measure?

A. Entity
B. Account
C. Organization
D. Date

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 # 45
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. Cardinality
D. Hierarchy

正解：C

質問 # 46
You want to display differences between measures in a chart. What can you use?

A. Threshold
B. Variance
C. Restricted measure
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 # 47
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

A. On-premise
B. Import
C. Cloud
D. Live

正解：B、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 # 48
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C_SAC_2415時間限定！無料アクセス：https://www.passtest.jp/SAP/C_SAC_2415-shiken.html

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