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Oracle 1Z0-1080-26 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Integration and Management	- Data validation and transformation 1. Data reconciliation techniques 2. Mapping and transformation rules - Data loading methods 1. Source system integration 2. Data imports and exports
Topic 2: Reporting and Analysis	- Financial reporting 1. Report creation and customization 2. Dashboard configuration - Analytics 1. Variance analysis 2. Performance monitoring
Topic 3: 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. Planning Cloud services overview 2. Data flow and integration concepts
Topic 4: AI and Predictive Planning Features	- AI-assisted planning insights 1. Driver-based planning concepts 2. Anomaly detection and recommendations - Predictive forecasting 1. Forecast generation and adjustment 2. Trend-based planning models
Topic 5: 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

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Oracle Planning + AI 2026 Implementation Professional Sample Questions (Q62-Q67):

NEW QUESTION # 62
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. 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.
B. Events are typically one-off or recurring events that historically led to spikes or declines in data.
C. All events are taken into consideration during prediction regardless of active or inactive status.
D. 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.
E. When you use events, spikes or falls in data are automatically normalized and distributed over the analysis period.

Answer: B,D

NEW QUESTION # 63
You want to analyze past data and predicted data to help you find patterns and insights into data that you might not have found on your own. To accomplish this, you configure Insights with Auto Predict.
Which two are Oracle EPM guidelines for implementing Insights and Auto Predict?

A. For historical data, create the Insights job using the lowest level of Period members possible so that the greatest amount of historical data can be used.
B. For future data, first run predictions in a test environment to ensure there is no impact on production data.
C. For historical data, there should be at least twice the amount of historical data as the number of prediction periods.
D. For future data, create a new insight by leveraging templates that include insight definitions.

Answer: B,C

Explanation:
In Oracle Planning 2024, configuring Insights with Auto Predict allows users to analyze past and predicted data to uncover patterns and insights. Oracle provides specific guidelines to ensure effective implementation:
A . For future data, create a new insight by leveraging templates that include insight definitions: Incorrect. While templates can be used to set up Insights, this is not a specific Oracle guideline for implementing Auto Predict. Auto Predict relies on historical data and predictive algorithms, not predefined insight templates for future data.
B . For historical data, there should be at least twice the amount of historical data as the number of prediction periods: Correct. Oracle recommends having sufficient historical data-specifically, at least twice the number of periods you intend to predict-to ensure the accuracy of Auto Predict's machine learning algorithms. For example, predicting 12 months requires at least 24 months of historical data.
C . For historical data, create the Insights job using the lowest level of Period members possible so that the greatest amount of historical data can be used: Incorrect. While granularity matters, Oracle does not mandate using the lowest level of Period members (e.g., days instead of months) as a guideline. The focus is on the quantity of historical data, not necessarily the lowest level of aggregation.
D . For future data, first run predictions in a test environment to ensure there is no impact on production data: Correct. Oracle advises testing Auto Predict in a non-production environment to validate results and avoid unintended impacts on live data, aligning with best practices for predictive analytics deployment.
The two guidelines-B and D-are explicitly outlined in Oracle's documentation for Insights and Auto Predict to ensure reliable predictions and safe implementation.
Oracle Planning 2024 Implementation Study Guide: "Configuring Insights and Auto Predict" (docs.oracle.com, Published 2024-10-15).

NEW QUESTION # 64
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 run Smart Push in forms to move data from source aggregate storage cubes.
D. Allow users to update data in another cube on demand

Answer: B,D

NEW QUESTION # 65
Which three are use cases for data maps?

A. To integrate data between Planning modules
B. To create a replicated partition between cubes
C. To push data from a planning cube to a reporting cube
D. To integrate data between custom plan types and Planning modules
E. To allow users to drill back to the data in a different cube

Answer: A,C

NEW QUESTION # 66
Which two are benefits of enabling Use Database Suppression in Smart Push?

A. It eliminates the impact on query threshold and improves wait times.
B. It suppresses rows or columns, or both that contain no Data (Missing of Zero, but not both.
C. It automatically merges comments, attachments, and supporting detail when mapping a database for reporting.
D. It allows you to load large amounts of data from an aggregate storage cube without using the missing block and row suppression options.
E. It enables you to apply row suppression at the database level instead of the application level.

Answer: A,E

NEW QUESTION # 67
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