最新の2025年03月31日 C_SAC_2421問題集は学習ガイドは試験合格するための秘訣 [Q35-Q54]

最新の2025年03月31日 C_SAC_2421問題集は学習ガイドは試験合格するための秘訣

C_SAC_2421問題集の無料PDFをゲットせよ！最近更新された問題

SAP C_SAC_2421 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Data modeling, analysis, and integration: This section focuses on the core analytical capabilities of SAP Analytics Cloud. SAP Analytics Cloud Data Analysts should demonstrate proficiency in creating and managing data models, performing advanced analysis, and integrating data from various sources. The exam assesses skills in creating calculated measures, applying filters, and using advanced analytical functions.
トピック 2	Planning: SAP Analytics Cloud Data Analysts are expected to demonstrate proficiency in planning within the SAP Analytics Cloud environment. The exam evaluates the ability to create and manage planning models, including setting up dimensions, accounts, and versions. Candidates should be familiar with creating planning input forms and implementing planning processes.
トピック 3	Connections and data preparation: This domain covers the essential skills of connecting to data sources and preparing data for analysis. SAP Analytics Cloud Data Analysts are expected to show competence in establishing connections to various data sources, including on-premise and cloud-based systems.
トピック 4	Story Design: This section of the exam measures the skills of SAP Analytics Cloud Data Analysts and covers various aspects of story design in SAP Analytics Cloud. The exam assesses the knowledge of candidates who should be able to create effective and visually appealing stories to present data insights. This includes understanding different chart types, layout options, and interactive elements to enhance data visualization and user engagement.
トピック 5	Performance, troubleshooting, and security management: This domain covers critical aspects of maintaining and optimizing SAP Analytics Cloud environments. It assesses SAP Analytics Cloud Data Analysts' abilities in performance tuning, troubleshooting common issues, and implementing security measures.

 

質問 # 35
You have a dimension with members for product groups and products. Each product group has associated products. You want to plan by product group without disaggregating into the products. How can you do this?

• A. Use two properties
• B. Dis-able allocations
• C. Use two hierarchies
• D. Dis-able distribution

正解：C

解説：
When you have a dimension with members for product groups and associated products and want to plan by product group without disaggregating into the individual products, using two hierarchies is the best approach. One hierarchy can represent the product groups at a higher level, allowing for planning and analysis at the group level. The second hierarchy can include both the product groups and their associated individual products for more detailed analysis when needed. This approach provides flexibility in planning and analyzing data at different levels of detail without the necessity of disaggregating data at the product group level.
Reference:
SAP Analytics Cloud Help Documentation: Hierarchies in Planning
SAP Analytics Cloud User Guide: Managing Hierarchies for Planning

質問 # 36
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. Source system
• B. Embedded data sets
• C. Stories
• D. Public datasets

正解：C

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 # 37
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. Add the month as a suffix to the Year measure.
• B. Insert a character into the Year measure using the transform bar.
• C. Change the Year measure to a dimension in the dataset.
• D. Includes the Year measure in a level-based time hierarchy in the dataset.

正解：C

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 # 38
You want to save your data analyzer result. What is it saved as?

• A. Story
• B. Model
• C. Insight
• D. Dataset

正解：C

質問 # 39
How can you limit the refresh time of a story?

• A. Use canvas pages
• B. Implement a value driver tree
• C. Collapse the hierarchy
• D. Create calculated measures

正解：C

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 # 40
Which dimension type can you use like a measure?

• A. Organization
• B. Account
• C. Entity
• 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 # 41
What can you use to organize dimensions into logical categories in a live model?

• A. Parent-child hierarchy
• B. Groups
• C. Value driver tree
• 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 # 42
What is required to use version management in a story?

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

正解：D

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

質問 # 43
To which story elements can you apply conditional formatting? Note: There are 2 correct answers to this question.

• A. Lane
• B. Table
• C. Chart
• D. Composite

正解：B、C

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 # 44
Which SAP Analytics Cloud feature uses natural language processing?

• A. Just Ask feature
• B. Smart insight
• C. Data analyzer
• D. Digital boardroom

正解：B

質問 # 45
You have a column chart in a story. You notice some of the labels are missing until you mouse over the data point. How can you ensure that the labels are always visible?

• A. Select the Avoid Data Label Overlap checkbox
• B. Increase the font size of the axis labels
• C. Increase the overall size of the chart widget on the page

正解：A

解説：
To ensure that labels are always visible on a column chart in a story, you should select the "Avoid Data Label Overlap" checkbox in the chart's settings. This option adjusts the labels' positioning to prevent overlap, making them visible at all times without the need for mouse-over interaction.
Reference:
SAP Analytics Cloud Help Documentation: Chart Design and Label Management SAP Analytics Cloud User Guide: Enhancing Data Label Visibility in Charts

質問 # 46
Which calculation types include dynamic date options? Note: There are 2 correct answers to this Question.

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

正解：B、C

質問 # 47
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 # 48
You are creating a styling rule for a table. What is the context?

• A. The highest level in the table
• B. The most granular level in the table
• C. The location of the cursor
• D. The table header

正解：C

質問 # 49
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 # 50
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. Custom expression editor
• B. Transform bar
• C. Calculation editor
• D. Formula bar

正解：A、B

質問 # 51
What features are supported by data analyzer? Note: There are 3 correct answers to this question.

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

正解：A、C、D

質問 # 52
In a data model, what can you use to further describe a dimension?

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

正解：D

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 # 53
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 data sources
• C. Many hyperlinks
• D. Large calculation scope
• E. Many story filters

正解：A、B、E

質問 # 54
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