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| Section | Weight | Objectives |
|---|---|---|
| Planning Application Setup and Configuration | 20% | - Set up and administer security and access permissions - Manage dimensions, hierarchies, and metadata - Create and configure Planning applications |
| Forms, Dashboards, and User Interface | 15% | - Manage navigation flows and user experience - Build and configure dashboards and infolets - Design and maintain forms and templates |
| Reporting, Approval, and Maintenance | 5% | - Set up and manage approval workflows - Perform system maintenance and updates - Create and distribute reports and analytics |
| Business Process Configuration | 25% | - Configure Capital module - Configure Projects module - Configure Strategic Modeling - Configure Financials module - Configure Workforce module |
| Intelligent Performance Management and AI Features | 10% | - Leverage AI-driven planning and forecasting capabilities - Configure IPM and predictive planning features |
| Data Management and Integration | 15% | - Integrate with external sources and systems - Load, map, and validate data |
| Calculation Rules and Logic | 10% | - Create and manage business rules and scripts - Implement Groovy rules and advanced calculations |
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NEW QUESTION # 95
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?
Answer: E
Explanation:
In Oracle Planning 2024's Strategic Modeling simulations, selecting a probability distribution for scenarios with fixed minimum and maximum values and a known most likely value (e.g., sales estimates, inventory, marketing costs) points to:
A . Beta PERT: Incorrect. Beta PERT uses min, max, and most likely values but requires more data to shape the curve accurately, making it less ideal with limited data.
B . Uniform: Incorrect. Uniform assumes equal probability between min and max, ignoring the most likely value, which doesn't fit this scenario.
C . Triangular: Correct. The Triangular distribution uses minimum, maximum, and most likely values, making it simple and effective for limited data situations like sales or costs.
D . Normal: Incorrect. Normal requires mean and standard deviation, not just min, max, and most likely, and assumes more data availability.
E . Lognormal: Incorrect. Lognormal is skewed and suited for data with a positive range, requiring more statistical input than provided here.
The Oracle documentation recommends the Triangular distribution for its simplicity and suitability with limited data, making C the correct answer.
Oracle Planning 2024 Implementation Study Guide: "Probability Distributions in Strategic Modeling" (docs.oracle.com, Published 2024-10-25).
Oracle EPM Cloud Documentation: "Simulation Distributions" (docs.oracle.com, Published 2023-11-30, updated for 2024).
NEW QUESTION # 96
Which option describes Intelligent Performance Management (IPM) Insights?
Answer: A
NEW QUESTION # 97
Which three tasks can you perform on the Dimensions page to manage dimensions in a Custom Planning application?
Answer: A,B,D
Explanation:
In Oracle Planning 2024, the Dimensions page in a Custom Planning application allows administrators to manage dimensions. The three tasks you can perform are:
A . Set the order of precedence: Correct. This task adjusts the display order of dimensions in forms and reports, enhancing usability, and is manageable on the Dimensions page.
B . Delete dimensions: Correct. Administrators can delete custom dimensions from the application on the Dimensions page, provided they are not in use (e.g., no data or dependencies).
C . Clear dimension members: Incorrect. Clearing members (e.g., removing all members from a dimension) is not a task performed on the Dimensions page; it's typically done via metadata import with the "Clear Members" option or manual member deletion.
D . Select the dimension density: Incorrect. Dimension density (sparse/dense) is set during cube creation or in Cube Designer, not adjustable on the Dimensions page post-creation.
E . Set the Evaluation Order: Correct. This task defines the order in which dimensions are evaluated for calculations (e.g., resolving member formulas), configurable on the Dimensions page for custom applications.
The Oracle documentation confirms that A, B, and E are tasks supported on the Dimensions page for Custom Planning applications, making them the correct answers.
Oracle Planning 2024 Implementation Study Guide: "Managing Dimensions in Custom Applications" (docs.oracle.com, Published 2024-10-10).
Oracle EPM Cloud Documentation: "Dimensions Page Tasks" (docs.oracle.com, Published 2023-11-15, updated for 2024).
NEW QUESTION # 98
Which is true about implementing access permissions in Planning?
Answer: C
NEW QUESTION # 99
What two levels of workforce detail granularity would you need to perform Merit-Based Planning?
Answer: A,B
Explanation:
In Oracle Planning 2024's Workforce module, Merit-Based Planning involves planning salary increases or adjustments based on employee performance (merit). To perform this, you need workforce data at a level of granularity that includes individual employee details. The two levels required are:
A . Merit: Incorrect. "Merit" is not a granularity level; it's a planning concept or assumption applied to employee data, not a structural level of detail.
B . Employee and Job: Correct. This level combines employee-specific data (e.g., individual identity) with job-specific data (e.g., role, grade), enabling merit-based adjustments tailored to both the person and their position.
C . Job: Incorrect. Job-level granularity (e.g., aggregated data for a role) lacks individual employee details, which are necessary for merit-based planning.
D . Employee: Correct. Employee-level granularity provides the individual data (e.g., current salary, performance rating) needed to calculate merit increases for specific employees.
Merit-Based Planning requires at least Employee-level detail, and often Employee and Job for more precise planning (e.g., tying merit to job roles or grades). The Oracle documentation confirms these as the key granularity levels for this functionality, making B and D the correct answers.
Oracle Planning 2024 Implementation Study Guide: "Merit-Based Planning in Workforce" (docs.oracle.com, Published 2024-10-10).
Oracle EPM Cloud Documentation: "Workforce Granularity Levels" (docs.oracle.com, Published 2023-11-15, updated for 2024).
NEW QUESTION # 100
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