最新1Z0-1080-26題庫資源 & 1Z0-1080-26信息資訊

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Oracle 1Z0-1080-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Calculation Rules and Logic10%- Create and manage business rules and scripts
- Implement Groovy rules and advanced calculations
Topic 2: Intelligent Performance Management and AI Features10%- Configure IPM and predictive planning features
- Leverage AI-driven planning and forecasting capabilities
Topic 3: Data Management and Integration15%- Load, map, and validate data
- Integrate with external sources and systems
Topic 4: Reporting, Approval, and Maintenance5%- Perform system maintenance and updates
- Create and distribute reports and analytics
- Set up and manage approval workflows
Topic 5: Business Process Configuration25%- Configure Projects module
- Configure Financials module
- Configure Workforce module
- Configure Strategic Modeling
- Configure Capital module
Topic 6: Planning Application Setup and Configuration20%- Set up and administer security and access permissions
- Manage dimensions, hierarchies, and metadata
- Create and configure Planning applications
Topic 7: Forms, Dashboards, and User Interface15%- Manage navigation flows and user experience
- Design and maintain forms and templates
- Build and configure dashboards and infolets

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最新的 Oracle Cloud 1Z0-1080-26 免費考試真題 (Q30-Q35):

問題 #30
Which three sources of data can you use in Dashboards 2.0?

答案:B,D


問題 #31
Which two are use cases for Smart Push?

答案:B,C


問題 #32
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?

答案:A

解題說明:
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).


問題 #33
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?

答案:C


問題 #34
You want to copy data between two Planning instances. Which three tasks must you complete so you can copy the data?

答案:A,C,E


問題 #35
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1Z0-1080-26信息資訊: https://www.vcesoft.com/1Z0-1080-26-pdf.html