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質問 # 14
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?
- A. Add a Comment widget to the story
- B. Create a Review task for the story
- C. Include the story in a Discussion
- D. Share with View access
正解：A
質問 # 15
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.
- A. Restricted Measure
- B. Date Difference
- C. Aggregation
- D. Difference From
正解：A、D
質問 # 16
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 # 17
What must you use to transform data in a dataset using if/then/else logic?
- A. Transform bar
- B. Custom expression editor
- C. Calculations editor
- D. Formula 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 # 18
What source system can you connect to with a live connection?
- A. SAP Business ByDesign Analytics
- B. SAP ERP Central Component
- C. SAP SuccessFactors
- 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 # 19
You are using a live connection for a model. Where is the data stored?
- A. Source system
- B. Public dataset
- C. SAP Analytics Cloud model
- D. Embedded data set
正解：A
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 # 20
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.
- A. Complex formatting
- B. Many hyperlinks
- C. Large calculation scope
- D. Many story filters
- E. Many data sources
正解：A、D、E
質問 # 21
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. Append
- B. Signflip
- C. Unbooked
- D. Aggregate To
正解：B
質問 # 22
Where can you change a data lock status? Note: There are 2 correct answers to this question.
- A. Multi action
- B. Value lock management
- C. Calendar task
- D. Data action
正解：A、C
質問 # 23
You are creating a new public version. Which categories can you use? Note: There are 2 correct answers to this question.
- A. Predictive
- B. Forecast
- C. Actual
- D. Budget
正解：C、D
質問 # 24
What can you use to organize dimensions into logical categories in a live model?
- A. Parent-child hierarchy
- B. Value driver tree
- C. Groups
- D. Level-based hierarchy
正解：A
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 # 25
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 create a new dataset.
- B. You must manually reimport the data.
- C. You can schedule the dataset to update on a regular basis.
- D. You must refresh the story that uses the dataset.
正解：C
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 # 26
What features are supported by data analyzer? Note: There are 3 correct answers to this question.
- A. Linked dimensions
- B. Calculated measures
- C. Charts
- D. Input controls
- E. Conditional formatting
正解：B、C、E
質問 # 27
You want to save your data analyzer result. What is it saved as?
- A. Dataset
- B. Model
- C. Insight
- D. Story
正解：C
質問 # 28
Which SAP Analytics Cloud feature uses natural language processing?
- A. Digital boardroom
- B. Just Ask feature
- C. Smart insight
- D. Data analyzer
正解：C
質問 # 29
You are creating a styling rule for a table. What is the context?
- A. The location of the cursor
- B. The table header
- C. The most granular level in the table
- D. The highest level in the table
正解：A
質問 # 30
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SAP C_SAC_2421 認定試験の出題範囲：
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