[2025年03月] C_SAC_2421 問題集完全版解答 SAP Certified Associate 試験学習ガイド [Q37-Q55]

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[2025年03月]更新のC_SAC_2421問題集完全版解答でSAP Certified Associate試験学習ガイド

試験問題と解答C_SAC_2421学習ガイド

質問 # 37
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. Increase the font size of the axis labels
  • B. Select the Avoid Data Label Overlap checkbox
  • C. Increase the overall size of the chart widget on the page

正解:B

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 # 38
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. Mass
  • B. Fluid
  • C. Single

正解:B


質問 # 39
You have a story in My Files. You want your colleague to review and comment on the story. What must you do?

  • A. Share with View access
  • B. Include the story in a Discussion
  • C. Create a Review task for the story
  • D. Add a Comment widget to the story

正解:D


質問 # 40
You are creating a script for an advanced data action. Which character designates a virtual variable member?

  • A. #
  • B. /
  • C. *
  • D. %

正解:B


質問 # 41
You want to display differences between measures in a chart. What can you use?

  • A. Threshold
  • B. Variance
  • C. Restricted measure
  • D. Reference line

正解:B

解説:
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
Reference:
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance


質問 # 42
You are using a live connection for a model. Where is the data stored?

  • A. Embedded data set
  • B. Source system
  • C. Public dataset
  • D. SAP Analytics Cloud model

正解:B

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 # 43
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. Embedded
  • B. Analytic
  • C. Standalone
  • D. Planning

正解:B、D


質問 # 44
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 location of the cursor
  • D. The most granular level in the table

正解:C


質問 # 45
Which dimension type can you use like a measure?

  • A. Account
  • B. Organization
  • C. Entity
  • D. Date

正解:A

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 # 46
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. Save
  • B. Publish
  • C. Nothing
  • D. Send

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 # 47
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. Use two hierarchies
  • C. Dis-able allocations
  • D. Dis-able distribution

正解:B

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 # 48
You are creating a data action to copy data from one year to the next.In the parameter for the source year, which default setting must you change?

  • A. Level
  • B. Hierarchy
  • C. Cardinality
  • D. Granularity

正解:C


質問 # 49
Where can you create a blank planning version?

  • A. In the planning model
  • B. In version management
  • C. In a data cell
  • D. In the version dimension

正解:B

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 # 50
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. Canvas
  • B. Composite
  • C. Grid
  • D. Responsive

正解:D

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 # 51
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 refresh the story that uses the dataset.
  • B. You must manually reimport the data.
  • C. You can schedule the dataset to update on a regular basis.
  • D. You must create a new 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 # 52
You are creating a styling rule for a table with a hierarchy of Country, Region, and City. You want to apply the styling rule only to countries. Which level option must you use?

  • A. Self and Siblings
  • B. Self
  • C. Self and Descendants
  • D. Self and Children

正解:B

解説:
To apply a styling rule only to countries in a table with a hierarchy of Country, Region, and City in SAP Analytics Cloud, you must use the "Self" level option. This option ensures that the styling rule is applied specifically to the level of the hierarchy representing countries, without affecting the styling of regions, cities, or any other hierarchical levels.
Reference:
SAP Analytics Cloud Help Documentation: Styling Hierarchical Tables
SAP Analytics Cloud User Guide: Hierarchical Styling Options


質問 # 53
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. Formula bar
  • D. Calculation editor

正解:A、B


質問 # 54
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 # 55
......


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
  • 計画: SAP Analytics Cloud データアナリストは、SAP Analytics Cloud 環境内での計画に関する熟練度を示すことが求められます。この試験では、ディメンション、アカウント、バージョンの設定を含む計画モデルの作成と管理の能力を評価します。受験者は、計画入力フォームの作成と計画プロセスの実装に精通している必要があります。
トピック 2
  • パフォーマンス、トラブルシューティング、およびセキュリティ管理: このドメインでは、SAP Analytics Cloud 環境の維持と最適化の重要な側面をカバーします。パフォーマンスチューニング、一般的な問題のトラブルシューティング、セキュリティ対策の実装における SAP Analytics Cloud データアナリストの能力を評価します。
トピック 3
  • 接続とデータ準備: このドメインでは、データソースへの接続と分析用データの準備に関する基本的なスキルを扱います。SAP Analytics Cloud データアナリストは、オンプレミスおよびクラウドベースのシステムを含むさまざまなデータソースへの接続を確立する能力を示すことが求められます。
トピック 4
  • ストーリー設計: この試験セクションでは、SAP Analytics Cloud データアナリストのスキルを測定し、SAP Analytics Cloud のストーリー設計のさまざまな側面をカバーします。この試験では、効果的で視覚的に魅力的なストーリーを作成してデータの洞察を提示できる受験者の知識を評価します。これには、データの視覚化とユーザーエンゲージメントを強化するためのさまざまなチャートの種類、レイアウトオプション、インタラクティブな要素を理解することが含まれます。
トピック 5
  • データ モデリング、分析、および統合: このセクションでは、SAP Analytics Cloud のコア分析機能に焦点を当てます。SAP Analytics Cloud データ アナリストは、データ モデルの作成と管理、高度な分析の実行、さまざまなソースからのデータの統合に関する熟練度を証明する必要があります。この試験では、計算メジャーの作成、フィルターの適用、高度な分析機能の使用に関するスキルが評価されます。

 

SAP Certified Associate - Data Analyst - SAP Analytics Cloud無料で更新される100%試験高合格率保証:https://jp.fast2test.com/C_SAC_2421-premium-file.html


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