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Oracle 1Z0-1080-26 Exam Syllabus Topics:

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

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Oracle Planning + AI 2026 Implementation Professional Sample Questions (Q68-Q73):

NEW QUESTION # 68
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. Multivariate Prediction
C. Forecast Prediction
D. Source Prediction

Answer: B

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 # 69
A company wants to capitalize the expenses from their project initiatives. Which is NOT a capability in Projects or Capital to fulfill this business requirement?

A. In Projects, the ability to allocate project expenses to a single or multiple capital assets
B. In Projects, the ability to allocate project expenses either partially or in full
C. In Capital, the ability to change resource utilization by project and asset
D. In Capital, the ability to view capitalized asset values and associated depreciation

Answer: C

NEW QUESTION # 70
Which four statements are true about the Optimize Dimension feature?

A. You refresh the database and then back up the application and download the snapshot before you optimize dimension order.
B. You can optimize the dimension order only for Financials and Projects, and only for the provided BSO cubes that are created when you enable and configure.
C. The new optimized dimension order is maintained even if you enable additional features or other modules.
D. You can optimize the dimension order only for BSO cubes in Custom Planning applications.
E. You optimize dimension order first in your test environment before you optimize dimension order in the production environment.
F. You can optimize the dimension order only for Financials and Workforce, and only for the provided BSO cubes that are created when you enable and configure.

Answer: A,C,D,E

Explanation:
In Oracle Planning 2024, the Optimize Dimension feature enhances performance by reordering dimensions in BSO (Block Storage Option) cubes. Let's evaluate the six statements to determine the four that are true:
A . The new optimized dimension order is maintained even if you enable additional features or other modules: True. Once optimized, the dimension order remains intact even if new features or modules are enabled, unless explicitly re-optimized or manually altered. This ensures performance stability post-optimization.
B . You can optimize the dimension order only for BSO cubes in Custom Planning applications: True. The Optimize Dimension feature is exclusively available for BSO cubes in Custom Planning applications, not for ASO (Aggregate Storage Option) cubes or module-based applications (e.g., Financials, Workforce), due to their predefined structures.
C . You can optimize the dimension order only for Financials and Projects, and only for the provided BSO cubes that are created when you enable and configure: False. This statement is incorrect because the feature applies to Custom Planning applications, not specifically to Financials and Projects, which use predefined BSO cubes not eligible for user-driven dimension optimization.
D . You optimize dimension order first in your test environment before you optimize dimension order in the production environment: True. Oracle recommends testing dimension optimization in a test environment first as a best practice to assess performance impacts and avoid risks in production, making this a procedural truth.
E . You refresh the database and then back up the application and download the snapshot before you optimize dimension order: True. Before optimizing, Oracle advises refreshing the database to ensure data consistency, then backing up the application and downloading a snapshot to preserve a recovery point in case optimization causes issues.
F . You can optimize the dimension order only for Financials and Workforce, and only for the provided BSO cubes that are created when you enable and configure: False. Similar to C, this is incorrect; optimization is not restricted to Financials and Workforce module cubes-it's for Custom Planning BSO cubes, not predefined module-specific cubes.
From these, the four true statements are:
A - Persistence of the optimized order after feature/module changes.
B - Restriction to BSO cubes in Custom Planning applications.
D - Testing in a test environment first as a best practice.
E - Refreshing and backing up before optimization.
The false statements (C and F) incorrectly limit the feature to specific modules (Financials, Projects, Workforce), whereas it's designed for Custom Planning applications. The Oracle documentation supports A, B, D, and E as true, aligning with the feature's functionality and recommended practices.
Oracle Planning 2024 Implementation Study Guide: "Optimize Dimension Feature" (docs.oracle.com, Published 2024-09-25).
Oracle EPM Cloud Documentation: "BSO Dimension Optimization" (docs.oracle.com, Published 2023-12-20, updated for 2024).

NEW QUESTION # 71
You want to associate Insights with calendar events to associate with the insights so you can use the in IPM Insights, Auto Predict definitions, and Predictive Planning. Which two statements are true about incorporating events in IPM insights?

A. Events are typically one-off or recurring events that historically led to spikes or declines in data.
B. When you use events, spikes or falls in data are automatically normalized and distributed over the analysis period.
C. Using events helps you plan ahead for the events and take advantage of opportunities by allowing you to see anticipated spikes and falls in the insight data for specific events.
D. All events are taken into consideration during prediction regardless of active or inactive status.
E. After creating events, you cannot choose to skip the historical data spikes or falls, so that the data for the event is always included in the analysis.

Answer: A,C

NEW QUESTION # 72
Which two are use cases for Smart Push?

A. Allow the application to schedule when to synchronize data
B. Allow users to update data in reporting cube after saving data in the planning web form
C. Allow users to update data in another cube on demand
D. Allow users to run Smart Push in forms to move data from source aggregate storage cubes.

Answer: B,C

NEW QUESTION # 73
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