1Z0-1080-26の実際の試験をOracle購入し、スコアを提供したお客様から得られたデータは、1Z0-1080-26試験問題の高い合格率が98％〜100％であることを示しています。 これは、市場で見つけて比較するのが難しいです。 そして、MogiExam優秀なクライアントからの数多くの熱烈なフィードバックは、1Z0-1080-26の勉強の急流だけでなく、オンラインの誠実で役立つ24時間のカスタマーサービスにも高い評価を与えています。 これらはすべて、私たちがこのキャリアで最高のベンダーであり、1Z0-1080-26試験の最初の試行で成功を収める権限があることをOracle Planning + AI 2026 Implementation Professional証明しています。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Intelligent Performance Management and AI Features | 10% | - Configure IPM and predictive planning features - Leverage AI-driven planning and forecasting capabilities |
| Topic 2: Forms, Dashboards, and User Interface | 15% | - Build and configure dashboards and infolets - Design and maintain forms and templates - Manage navigation flows and user experience |
| Topic 3: Calculation Rules and Logic | 10% | - Implement Groovy rules and advanced calculations - Create and manage business rules and scripts |
| Topic 4: Reporting, Approval, and Maintenance | 5% | - Create and distribute reports and analytics - Set up and manage approval workflows - Perform system maintenance and updates |
| Topic 5: Planning Application Setup and Configuration | 20% | - Set up and administer security and access permissions - Manage dimensions, hierarchies, and metadata - Create and configure Planning applications |
| Topic 6: Business Process Configuration | 25% | - Configure Capital module - Configure Strategic Modeling - Configure Workforce module - Configure Projects module - Configure Financials module |
| Topic 7: Data Management and Integration | 15% | - Load, map, and validate data - Integrate with external sources and systems |
弊社のOracleの1Z0-1080-26勉強資料を利用したら、きっと試験を受けるための時間とお金を節約できます。MogiExamのOracleの1Z0-1080-26問題集を買う前に、一部の問題と解答を無料にダウンロードすることができます。PDFのバージョンとソフトウェアのバージョンがありますから、ソフトウェアのバージョンを必要としたら、弊社のカスタマーサービススタッフから取得してください。
質問 # 30
Which three types of revenue and expense assumptions drive data calculations in Projects?
正解：A、B、D
解説：
In Oracle Planning 2024's Projects module, revenue and expense calculations are driven by specific assumptions that influence project financials. The three types of assumptions that directly drive these calculations are Working days and hours, Standard rates, and Project rates:
A . Working days and hours: This assumption defines the available time for project execution (e.g., days per week, hours per day), directly impacting labor costs and revenue projections based on resource utilization.
C . Standard rates: These are predefined rates (e.g., hourly or daily rates for labor or equipment) applied across projects unless overridden, driving cost and revenue calculations consistently.
E . Project rates: These are project-specific rates that override standard rates when defined, allowing for tailored revenue and expense calculations based on unique project requirements.
B . Plan start year: This is incorrect because, while it sets the timeline for planning, it does not directly drive revenue or expense calculations-it's a temporal parameter, not an assumption affecting financial data.
D . Program mappings: This is incorrect because program mappings relate to integrating data across programs, not driving revenue or expense calculations within Projects.
Oracle Planning 2024 Implementation Study Guide: "Configuring Projects Assumptions" (docs.oracle.com, Published 2024-10-10).
Oracle EPM Cloud Documentation: "Revenue and Expense Planning in Projects" (docs.oracle.com, Published 2023-11-25, updated for 2024).
F). Discount rates: This is incorrect because discount rates are used for net present value (NPV) or financial analysis, not as a direct driver of revenue and expense assumptions in Projects.
質問 # 31
You want to work with Forms 2.0 to develop your forecast. Which two statements describe Forms 2.0?
正解：A、C
質問 # 32
Which three features would you need to enable in order to perform indirect cash flow statement planning?
正解：C、D、E
質問 # 33
You want to customize the business process interface. Which Planning feature enables you to customize the vertical and horizontal tabs that are displayed on a card?
正解：B
質問 # 34
With Machine Learning, which type of prediction would you define to predict using the same dimension, measure, and slice of data?
正解：A
質問 # 35
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