SAP C_SAC_2501認定試験 & C_SAC_2501日本語版トレーリング
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SAP C_SAC_2501 認定試験の出題範囲：
| トピック |
出題範囲 |
| トピック 1 |
- Performance, Troubleshooting, and Security Management: This section measures the skills of IT Administrators and covers performance, troubleshooting, and security management, making up less than 10% of the exam. It focuses on optimizing performance, resolving issues, and ensuring data security in data visualization environments.
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| トピック 2 |
- Planning: This section evaluates the expertise of Business Intelligence Developers. The focus is on planning and strategic aspects of data visualization projects.
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| トピック 3 |
- Connections and Data Preparation: This section targets Data Engineers and covers connections and data preparation, The focus is on connecting to data sources and preparing data for visualization.
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| トピック 4 |
- Story Design: This section of the exam measures the skills of Data Analysts and covers story design concepts, accounting for The focus on creating effective visualizations and narratives using data.
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| トピック 5 |
- Data Modeling, Analysis, and Integration: This section assesses the skills of Data Architects and covers data modeling, analysis, and integration.
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SAP Certified Associate - Data Analyst - SAP Analytics Cloud 認定 C_SAC_2501 試験問題 (Q32-Q37):
質問 # 32
What must you use to transform data in a dataset using if/then/else logic?
- A. Custom expression editor
- B. Transform bar
- C. Formula bar
- D. Calculations editor
正解：A
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 # 33
Which tasks can you perform in data analyzer? Note: There are 2 correct answers to this question.
- A. Filter data
- B. Create cross-calculation
- C. Input data
- D. Drill down on 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 # 34
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 # 35
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. Load widgets in the background
- C. Avaid tables with more than 500 rows and 60 columns
- D. Use conditional formatting
- E. Avaid prompts
正解：B、C、D
質問 # 36
In which types of data source can you concatenate data? Note: There are 3 correct answers to this question.
- A. Embedded data set
- B. Data analyzer insight
- C. Standalone dataset
- D. Imported data model
- E. Live data model
正解：A、C、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 # 37
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C_SAC_2501日本語版トレーリング: https://www.goshiken.com/SAP/C_SAC_2501-mondaishu.html
