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質問 # 12
Where can you create a blank planning version?
- A. In the version dimension
- B. In a data cell
- C. In version management
- D. In the planning model
正解：C
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 # 13
You are creating a styling rule for a table. What is the context?
- A. The highest level in the table
- B. The table header
- C. The most granular level in the table
- D. The location of the cursor
正解：D
質問 # 14
Which features are available in the Optimized Design Experience? Note: There are 3 correct answers to this question.
- A. Composites
- B. Undo button
- C. Grid pages
- D. Linked widgets diagram
- E. Explorer
正解：A、B、D
質問 # 15
You are using a live connection for a model. Where is the data stored?
- A. Public dataset
- B. Embedded data set
- C. SAP Analytics Cloud model
- 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 # 16
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.
- A. Table
- B. Chart
- C. Composite
- D. Lane
正解：A、B
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 # 17
Which SAP Analytics Cloud feature uses natural language processing?
- A. Digital boardroom
- B. Data analyzer
- C. Smart insight
- D. Just Ask feature
正解：C
質問 # 18
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Live
- B. Import
- C. On-premise
- D. Cloud
正解：A、B
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 # 19
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. Embedded data sets
- B. Public datasets
- C. Source system
- D. Stories
正解：D
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 # 20
What can you do to reduce the data refresh time when opening a story? Note: There are 3 correct answers to this question.
- A. Use responsive pages
- B. Use conditional formatting
- C. Avaid prompts
- D. Avaid tables with more than 500 rows and 60 columns
- E. Load widgets in the background
正解：B、D、E
質問 # 21
Which automatically created dimension type can you delete from an analytic data model?
- A. Version
- B. Generic
- C. Date
- D. Organization
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 # 22
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.
- A. Version
- B. Date
- C. Organization
- D. Entity
正解：A、B
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 # 23
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 # 24
You want to use an input control to filter data appearing in a story. At what level is the filter applied?
- A. Calculation
- B. Page
- C. Component
- D. Story
正解：B
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 # 25
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. Save
- C. Publish
- D. Send
正解：C
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 # 26
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Standalone dataset
- B. Live data model
- C. Imported data model
- D. Data analyzer insight
- E. Embedded data set
正解：A、C、E
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 # 27
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. Signflip
- C. Aggregate To
- D. Append
正解：B
質問 # 28
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Difference From
- B. Restricted Measure
- C. Date Difference
- D. Aggregation
正解：A、B
質問 # 29
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
- A. Drill down on data
- B. Create cross-calculation
- C. Input data
- D. Filter data
正解：A、D
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 # 30
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