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質問 # 11
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 # 12
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.
- A. Entity
- B. Version
- C. Organization
- D. Date
正解：B、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 # 13
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 # 14
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Calculated measures
- B. Charts
- C. Conditional formatting
- D. Input controls
- E. Linked dimensions
正解：A、B、C
質問 # 15
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 # 16
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. Responsive
- B. Canvas
- C. Grid
- D. Composite
正解：A
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 # 17
Which programming language is used for scripting in an SAP Analytics Cloud story?
- A. JavaScript
- B. ABAP
- C. Wrangling Expression Language
- D. Python
正解：A
質問 # 18
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 # 19
For which activities must you enable Advanced Mode in story design? Note: There are 2 correct answers to this question.
- A. Add JavaScript to a button
- B. Add a popup
- C. Add a custom widget
- D. Add a layer to a geo map
正解：A、B
質問 # 20
What type of predictive scenario can write back to a planning model?
- A. Time series forecast
- B. Classification
- C. Value driver tree
- D. Regression
正解：A
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 # 21
You have a dataset that extracts data from an SAP Business Warehouse (SAP BW) system. The data in the SAP BW system changes. How can you update the dataset?
- A. You must manually reimport the data.
- B. You can schedule the dataset to update on a regular basis.
- C. You must refresh the story that uses the dataset.
- D. You must create a new dataset.
正解：B
解説：
For datasets that extract data from external systems like SAP Business Warehouse (SAP BW), SAP Analytics Cloud provides the capability to schedule updates on a regular basis. This feature ensures that the dataset within SAP Analytics Cloud remains up-to-date with the latest changes from the SAP BW system, without the need for manual reimport or creating a new dataset. Scheduled updates can be configured to run at specific intervals, automating the data refresh process.
Reference:
SAP Analytics Cloud Help Documentation: Scheduling Data Refresh
SAP Analytics Cloud User Guide: Automating Dataset Updates from External Sources
質問 # 22
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 # 23
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Imported data model
- B. Standalone dataset
- C. Live data model
- D. Embedded data set
- 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 # 24
What must you use to transform data in a dataset using if/then/else logic?
- A. Formula bar
- B. Transform bar
- C. Calculations editor
- D. Custom expression editor
正解：D
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 # 25
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.
- A. Enable unbooked data in the story.
- B. Enable Optimize Recommended Planning Area in the model.
- C. Select fluid data entry mode in the story.
- D. Set Size Limits for Planning Performance in the model.
正解：B、C
質問 # 26
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 the combined data in the source system.
- B. Create a calculated dimension in the data model.
- C. Group the Firstname and Lastname in the data model.
- D. Create a calculated dimension in the story.
正解：B
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 # 27
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.
- A. Many story filters
- B. Large calculation scope
- C. Many data sources
- D. Many hyperlinks
- E. Complex formatting
正解：A、C、E
質問 # 28
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. Insert a character into the Year measure using the transform bar.
- B. Add the month as a suffix to the Year measure.
- C. Includes the Year measure in a level-based time hierarchy in the dataset.
- D. Change the Year measure to a dimension in the dataset.
正解：D
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 # 29
You want to use an input control to filter data appearing in a story. At what level is the filter applied?
- A. Story
- B. Calculation
- C. Component
- D. Page
正解：D
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 # 30
How can you limit the refresh time of a story?
- A. Create calculated measures
- B. Implement a value driver tree
- C. Use canvas pages
- D. Collapse the hierarchy
正解：D
解説：
Collapsing the hierarchy in a story can help limit the refresh time, as it reduces the amount of data that needs to be processed and displayed at any given time. By presenting data at a higher aggregation level initially, you can improve performance and allow users to expand specific sections of the hierarchy as needed for more detailed analysis.
Reference:
SAP Analytics Cloud Help Documentation: Improving Story Performance
SAP Analytics Cloud User Guide: Managing Data Hierarchy for Performance
質問 # 31
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. Embedded
- D. Analytic
正解：A、D
質問 # 32
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.
- A. Calculations
- B. Measures
- C. Dimensions
- D. Hierarchies
正解：B、C
解説：
In SAP Analytics Cloud, a data model must contain at least "Dimensions" and "Measures" to be functional. Dimensions are the qualitative aspects of the data (e.g., time, geography, product categories) that provide the context for analysis. Measures, on the other hand, are the quantitative data points (e.g., sales, costs, quantities) that are analyzed within the context provided by dimensions. Both are fundamental components of a data model, enabling structured data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Building Data Models
SAP Analytics Cloud User Guide: Understanding Dimensions and Measures in Models
質問 # 33
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