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Oracle 1Z0-1080-26 Exam Syllabus Topics:

SectionObjectives
Topic 1: AI and Predictive Planning Features- Predictive forecasting
  • 1. Forecast generation and adjustment
    • 2. Trend-based planning models
      - AI-assisted planning insights
      • 1. Anomaly detection and recommendations
        • 2. Driver-based planning concepts
          Topic 2: Data Integration and Management- Data validation and transformation
          • 1. Mapping and transformation rules
            • 2. Data reconciliation techniques
              - Data loading methods
              • 1. Source system integration
                • 2. Data imports and exports
                  Topic 3: Oracle Enterprise Performance Management (EPM) Cloud Overview- EPM architecture and components
                  • 1. Planning Cloud services overview
                    • 2. Data flow and integration concepts
                      - Security and user management
                      • 1. Roles and access control
                        • 2. Application security configuration
                          Topic 4: Planning Application Configuration- Application design
                          • 1. Metadata structure and dimensions
                            • 2. Planning models setup
                              - Business rules and calculations
                              • 1. Calculation logic for planning scenarios
                                • 2. Rule creation and validation
                                  Topic 5: Reporting and Analysis- Analytics
                                  • 1. Performance monitoring
                                    • 2. Variance analysis
                                      - Financial reporting
                                      • 1. Dashboard configuration
                                        • 2. Report creation and customization

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                                          Oracle Planning + AI 2026 Implementation Professional Sample Questions (Q72-Q77):

                                          NEW QUESTION # 72
                                          You want to budget for future headcount and related personnel expenses such as salary, benefits, and taxes. Which module do you enable and configure to budget for these expenses?

                                          Answer: A

                                          Explanation:
                                          To budget for future headcount and related personnel expenses (e.g., salary, benefits, taxes) in Oracle Planning 2024, the Workforce module must be enabled and configured. This module is specifically designed for detailed employee planning, including:
                                          A . Financials: Incorrect. Financials focuses on revenue, expense, and financial statement planning at an aggregated level, not detailed headcount or personnel expenses like benefits and taxes.
                                          B . Strategic Modeling: Incorrect. Strategic Modeling is for high-level scenario analysis (e.g., mergers, long-term strategies), not granular headcount budgeting.
                                          C . Sales Planning: Incorrect. Sales Planning (if available as a custom module) targets sales forecasts and quotas, not employee-related expenses.
                                          D . Workforce: Correct. Workforce enables budgeting for headcount (e.g., hiring plans) and calculates associated costs-salaries, benefits (e.g., health insurance), and taxes (e.g., payroll taxes)-with predefined and customizable options.
                                          The Oracle documentation confirms that Workforce is the module tailored for headcount and personnel expense budgeting, making D the correct answer.
                                          Oracle Planning 2024 Implementation Study Guide: "Overview of Workforce Module" (docs.oracle.com, Published 2024-10-05).
                                          Oracle EPM Cloud Documentation: "Planning Personnel Expenses" (docs.oracle.com, Published 2023-11-25, updated for 2024).


                                          NEW QUESTION # 73
                                          Which three actions can you perform with Valid Intersections?

                                          Answer: A,B,D


                                          NEW QUESTION # 74
                                          With Machine Learning, which type of prediction would you define to predict revenue using several input variables such as price, promotions, industry market size, and climate?

                                          Answer: A

                                          Explanation:
                                          In Oracle Planning 2024's Machine Learning capabilities, particularly with the "Bring Your Own ML" feature, predictions can be defined based on the type of analysis required. To predict revenue using multiple input variables such as price, promotions, industry market size, and climate, the appropriate prediction type is:
                                          A . Dimension Prediction: Incorrect. This type is not a standard term in Oracle's ML framework for Planning; it suggests predicting across dimensions, which isn't specific to multi-variable revenue prediction.
                                          B . Source Prediction: Incorrect. This is not a defined prediction type in Oracle Planning's ML documentation; it might imply source data analysis, but it's not applicable here.
                                          C . Forecast Prediction: Incorrect. While forecasting involves predicting future values, "Forecast Prediction" is not a specific ML type in Oracle, and it doesn't emphasize the use of multiple variables.
                                          D . Multivariate Prediction: Correct. Multivariate prediction involves using multiple input variables (e.g., price, promotions, market size, climate) to predict an outcome (e.g., revenue). Oracle's ML integration supports importing PMML models that handle multivariate analysis, aligning with this scenario.
                                          The Oracle documentation confirms that Multivariate Prediction is the type suited for complex predictions with several input variables, making D the correct answer.
                                          Oracle Planning 2024 Implementation Study Guide: "Machine Learning Prediction Types" (docs.oracle.com, Published 2024-10-15).
                                          Oracle EPM Cloud Documentation: "Bring Your Own ML: Multivariate Models" (docs.oracle.com, Published 2023-11-20, updated for 2024).


                                          NEW QUESTION # 75
                                          In which two ways can you affect the promotional path of an approval unit hierarchy?

                                          Answer: B,D


                                          NEW QUESTION # 76
                                          Which is true about implementing access permissions in Planning?

                                          Answer: C


                                          NEW QUESTION # 77
                                          ......

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