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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: Oracle Enterprise Performance Management (EPM) Cloud Overview	- EPM architecture and components 1. Data flow and integration concepts 2. Planning Cloud services overview - Security and user management 1. Roles and access control 2. Application security configuration
Topic 3: Planning Application Configuration	- Business rules and calculations 1. Calculation logic for planning scenarios 2. Rule creation and validation - Application design 1. Planning models setup 2. Metadata structure and dimensions
Topic 4: 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
Topic 5: 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

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Oracle Planning + AI 2026 Implementation Professional 認定 1Z0-1080-26 試験問題 (Q95-Q100):

質問 # 95
Which three are benefits of using Groovy rules?

A. You can use Groovy rules to dynamically generate calculations scripts at run time based on contexts defined in the Groovy script.
B. You can use Groovy rules to define member formulas that combine operators, calculations on members in Dimension Editor.
C. You can use Groovy rules to perform complex procedural calculations in memory before submitting the results to the database.
D. You can use Groovy rules to add validation checks for runtime prompt value before running calculations, add data validation checks before submitting data, and add error handling.
E. You can use Groovy rules to dynamically calculate data and add validation checks before saving data on custom composite forms.

正解：A、C、D

質問 # 96
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 future data, first run predictions in a test environment to ensure there is no impact on production data.
B. For future data, create a new insight by leveraging templates that include insight definitions.
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.
D. For historical data, there should be at least twice the amount of historical data as the number of prediction periods.

正解：A、D

解説：
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).

質問 # 97
In which two ways can you affect the promotional path of an approval unit hierarchy?

A. Use data rules to determine whether a change in the approval unit promotional paths is necessary.
B. Modify owners and reviewers for approval units and their descendants.
C. Create a task list with a task skip a user in the promotional path.
D. Use the Approval Audit feature to view the data tasks performed by users and freeze those tasks for the user.

正解：A、B

質問 # 98
Which three features would you need to enable in order to perform indirect cash flow statement planning?

A. Income Statement
B. Cash Flow Statement
C. Expense
D. Balance Sheet
E. Revenue

正解：A、B、D

質問 # 99
Which three types of revenue and expense assumptions drive data calculations in Projects?

A. Standard rates
B. Project rates
C. Discount rates
D. Working days and hours
E. Plan start year
F. Program mappings

正解：A、B、D

解説：
In Oracle Planning 2024's Projects module, revenue and expense calculations are driven by specific assumptions that influence project financials. The three types of assumptions that directly drive these calculations are Working days and hours, Standard rates, and Project rates:
A . Working days and hours: This assumption defines the available time for project execution (e.g., days per week, hours per day), directly impacting labor costs and revenue projections based on resource utilization.
C . Standard rates: These are predefined rates (e.g., hourly or daily rates for labor or equipment) applied across projects unless overridden, driving cost and revenue calculations consistently.
E . Project rates: These are project-specific rates that override standard rates when defined, allowing for tailored revenue and expense calculations based on unique project requirements.
B . Plan start year: This is incorrect because, while it sets the timeline for planning, it does not directly drive revenue or expense calculations-it's a temporal parameter, not an assumption affecting financial data.
D . Program mappings: This is incorrect because program mappings relate to integrating data across programs, not driving revenue or expense calculations within Projects.
Oracle Planning 2024 Implementation Study Guide: "Configuring Projects Assumptions" (docs.oracle.com, Published 2024-10-10).
Oracle EPM Cloud Documentation: "Revenue and Expense Planning in Projects" (docs.oracle.com, Published 2023-11-25, updated for 2024).
F). Discount rates: This is incorrect because discount rates are used for net present value (NPV) or financial analysis, not as a direct driver of revenue and expense assumptions in Projects.

質問 # 100
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