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Oracle 1Z0-1080-26 Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Reporting and Analysis | - Analytics
- 1. Variance analysis
- 2. Performance monitoring
- Financial reporting
- 1. Dashboard configuration
- 2. Report creation and customization
|
| 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: Planning Application Configuration | - Application design
- 1. Metadata structure and dimensions
- 2. Planning models setup
- Business rules and calculations
- 1. Rule creation and validation
- 2. Calculation logic for planning scenarios
|
| Topic 4: 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. Application security configuration
- 2. Roles and access control
|
| Topic 5: AI and Predictive Planning Features | - AI-assisted planning insights
- 1. Anomaly detection and recommendations
- 2. Driver-based planning concepts
- Predictive forecasting
- 1. Forecast generation and adjustment
- 2. Trend-based planning models
|
Oracle Planning + AI 2026 Implementation Professional Sample Questions:
1. Which two statements describe tasks that need to be completed so that planners can use a Machine Learning (ML) model in Planning?
A) Administrators build a navigation flow to set up the ML model definition, and then set up a data map to map historical data to future data and push the actual data to the cube.
B) Administrators create an action menu to run the Groovy rule generated from the ML model definition, and then assign the action menu to a form.
C) Administrators build a task list to set up the ML model definition, and then run the Groovy rule to generate future data.
D) Administrators import the ML model into a Planning application and define how the input variables and the target variable map to dimension members or cell values in the Planning application.
2. A company would like to configure Financials, Workforce, and Projects. They would like to plan and forecast the Project dimension in Financials, as well as track employee utilization in Projects.
Which two actions must they take to ensure that the Project dimension is shared and the data integrated correctly across all three modules? (Choose two.)
A) In Financials, rename one of the custom dimensions to "Project" and enable it
B) In Workforce, rename one of the custom dimensions to "Project" and enable it
C) In Projects, ensure that the Employee driver-based expense is enabled
D) In Workforce, ensure that the granularity is at Employee or Employee and Job
3. 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?
A) Dimension Prediction
B) Forecast Prediction
C) Multivariate Prediction
D) Source Prediction
4. Which three principles of assigning permissions to artifacts, rules and folders are valid?
A) Users and Power Users can work only with members to which they have permissions.
B) Users and Power Users can design artifacts.
C) Users and Power Users have Write permissions to all dimension members and to all artifacts.
D) Users who are assigned permissions to a folder can access the items in that folder, unless they are assigned.
5. You want to select a probability distribution for your Strategic Modeling simul-ation. The minimum and maximum are fixed, and you know the most likely values.
Which probability distribution is useful with limited data in situations such as sales estimates, inventory numbers, and marketing costs in Strategic Modeling simul-ations?
A) Triangular
B) Uniform
C) Lognormal
D) Normal
E) Beta PERT
Solutions:
Question # 1 Answer: B,D | Question # 2 Answer: B,D | Question # 3 Answer: C | Question # 4 Answer: A,B,D | Question # 5 Answer: A |