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Oracle 1Z0-1080-26 Exam Syllabus Topics:

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

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                                          Oracle Planning + AI 2026 Implementation Professional Sample Questions (Q17-Q22):

                                          NEW QUESTION # 17
                                          Which three security design principles can help reduce overall security maintenance and troubleshooting?

                                          Answer: A,B,C


                                          NEW QUESTION # 18
                                          Which statement is true about the Currency dimension for Modules and Custom application types?

                                          Answer: A


                                          NEW QUESTION # 19
                                          Which two are primary use cases for an ASO reporting cube?

                                          Answer: A,C


                                          NEW QUESTION # 20
                                          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 # 21
                                          Your administrator creates a Pipeline definition to manage metadata, and data for your Planning application. Which statement about pipelines is true?

                                          Answer: B

                                          Explanation:
                                          In Oracle Planning 2024, a Pipeline is a feature that allows administrators to define and automate a sequence of jobs (e.g., data imports, metadata updates, calculations) as a single, coordinated process. Pipelines streamline the management of metadata and data by executing multiple tasks in a specified order, ensuring dependencies are met, and providing a repeatable workflow for maintaining the Planning application.
                                          A . Develop pipelines to guide you through the Planning process: Incorrect. Pipelines are not a planning guide; they are an automation tool for executing jobs, not a process framework.
                                          B . Use pipelines as a visible, automated, and repeatable system of record for running an application: Incorrect. While pipelines are automated and repeatable, they are not a "system of record" for running the entire application-they focus on specific job sequences.
                                          C . Use pipelines to coordinate the running of a series of jobs as a single process: Correct. This aligns with the Oracle definition of pipelines, which orchestrate multiple jobs (e.g., import data, refresh database) into one executable process.
                                          D . Quickly drill into data slices that are important to you with pipelines: Incorrect. Pipelines are not designed for data analysis or drilling into data slices; they are for job automation.
                                          The Oracle documentation emphasizes that pipelines are used to manage and execute a series of jobs efficiently, making C the true statement.
                                          Oracle Planning 2024 Implementation Study Guide: "Working with Pipelines" (docs.oracle.com, Published 2024-10-05).
                                          Oracle EPM Cloud Documentation: "Automating Tasks with Pipelines" (docs.oracle.com, Published 2023-11-30, updated for 2024).


                                          NEW QUESTION # 22
                                          ......

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