SAP C_SAC_2421テストエンジン問題集トレーニングには62問あります [Q15-Q32]

Share

SAP C_SAC_2421テストエンジン問題集トレーニングには62問あります

C_SAC_2421問題一発合格させる問題集はSAP Certified Associate認定


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
  • 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。
トピック 2
  • 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 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
  • 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 5
  • 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。

 

質問 # 15
How can you limit the refresh time of a story?

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

正解:A

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 # 16
In a data model, what can you use to further describe a dimension?

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

正解:C

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 # 17
How can you help a user enter data faster in a planning story? Note: There are 2 correct answers to this question.

  • A. Select fluid data entry mode in the story.
  • B. Set Size Limits for Planning Performance in the model.
  • C. Enable Optimize Recommended Planning Area in the model.
  • D. Enable unbooked data in the story.

正解:A、C


質問 # 18
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. Include the story in a Discussion
  • C. Create a Review task for the story
  • D. Share with View access

正解:A


質問 # 19
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 can schedule the dataset to update on a regular basis.
  • B. You must refresh the story that uses the dataset.
  • C. You must manually reimport the data.
  • D. You must create a new dataset.

正解:A

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 # 20
What can you use input controls for in a story? Note: There are 2 correct answers to this question.

  • A. Implementing row-level and column-level security in a table
  • B. Changing dimensions or measures displayed in a table
  • C. Filtering data on a page
  • D. Selecting an alternate data source

正解:B、C

解説:
Input controls in a story in SAP Analytics Cloud can be used for changing dimensions or measures displayed in a table and for filtering data on a page. Input controls provide a way for users to interactively modify the view of the data, such as selecting which dimensions or measures to display, or filtering the entire page's content based on selected criteria, enhancing the interactivity and flexibility of data analysis within stories.
Reference:
SAP Analytics Cloud Help Documentation: Input Controls in Stories
SAP Analytics Cloud User Guide: Using Input Controls for Data Interaction


質問 # 21
Where can you create a blank planning version?

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

正解:C

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 # 22
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. Avaid tables with more than 500 rows and 60 columns
  • C. Load widgets in the background
  • D. Use conditional formatting
  • E. Avaid prompts

正解:B、C、D


質問 # 23
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 Children
  • D. Self and Descendants

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 # 24
You are creating an allocation step to distribute expenses from the HR cost center to your operating cost centers. Which dimension setting controls how much is distributed to each operating cost center?

  • A. Reference
  • B. Redistribute
  • C. Distribute
  • D. Driver

正解:D

解説:
In the context of creating an allocation step to distribute expenses from the HR cost center to operating cost centers in SAP Analytics Cloud, the "Driver" dimension setting is crucial. This setting determines the basis or criteria on which the distribution is calculated and applied to each operating cost center. For instance, the driver could be the number of employees, square footage, or any other relevant metric that justifies the distribution of costs. By defining a driver, you ensure that the allocation of expenses is proportional and fair based on the selected criteria.
Reference:
SAP Analytics Cloud Help Documentation: Allocation Steps in Planning
SAP Analytics Cloud User Guide: Using Drivers for Allocation


質問 # 25
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. Send
  • B. Save
  • C. Publish
  • D. Nothing

正解:C

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 # 26
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 overall size of the chart widget on the page
  • C. Increase the font size of the axis labels

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 # 27
Your story takes a long time to open. What could cause this? Note: There are 3 correct answers to this question.

  • A. Many hyperlinks
  • B. Complex formatting
  • C. Large calculation scope
  • D. Many story filters
  • E. Many data sources

正解:B、D、E


質問 # 28
What must a data model contain in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

  • A. Dimensions
  • B. Calculations
  • C. Hierarchies
  • D. Measures

正解:A、D

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 # 29
In a planning data model, what dimensions are included by default? Note: There are 2 correct Answers to this question.

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

正解:B、C

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 # 30
What account types use the average rate type? Note: There are 2 correct answers to this question.

  • A. INC
  • B. AST
  • C. EXP
  • D. LEQ

正解:A、C


質問 # 31
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 # 32
......

C_SAC_2421練習テストPDF試験材料:https://www.goshiken.com/SAP/C_SAC_2421-mondaishu.html

C_SAC_2421解答の無料サンプルには全てリアル試験に基づいています:https://drive.google.com/open?id=1O6Ff6Bsivn_RueY1HfczL94yDzvHaYWD