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【General】 Why Should You Start Preparation With DumpsMaterials 1z0-1080-25 Exam Dumps?

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Oracle 1z0-1080-25 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Set up and run data maps: This section of the exam measures the skills of a Planning Administrator and focuses on configuring and executing data maps to move data across plan types or applications.
Topic 2
  • Explain required and user-defined dimensions; how dimension hierarchies impact Planning
Topic 3
  • Describe Planning features: This section of the exam measures the skills of an EPM Consultant and focuses on recognizing key Planning features that help organizations manage and analyze financial data efficiently.
Topic 4
  • Manage Metadata and Data: This section of the exam measures the skills of a Planning Administrator and covers methods for loading and maintaining metadata and data in Planning.
Topic 5
  • This section of the exam measures the skills of a Planning Administrator and includes understanding how standard and custom dimensions are used, and how dimension hierarchies affect planning structure and outcomes.
Topic 6
  • Creating System Reports: This section of the exam measures the skills of a Planning Administrator and focuses on system-generated reports that provide insights into application activity.
Topic 7
  • Manage Rules: This section of the exam measures the skills of an EPM Consultant and covers designing and managing business logic using rules and rulesets to automate calculations.
Topic 8
  • Identify metadata and data load options: This section of the exam measures the skills of a Planning Administrator and introduces options available for importing and managing metadata and data within the system.
Topic 9
  • Manage Dimensions: This section of the exam measures the skills of a Planning Administrator and covers how to manage essential dimensions and hierarchies that organize planning data.
Topic 10
  • Create and manage navigation flows: This section of the exam measures the skills of an EPM Consultant and involves organizing navigation flows to simplify user interaction in Planning.
Topic 11
  • Build validation rules: This section of the exam measures the skills of an EPM Consultant and includes creating rules that validate data entry in forms.
Topic 12
  • Import and export data into Planning: This section of the exam measures the skills of a Planning Administrator and covers the process of moving planning data into and out of the system.
Topic 13
  • Introduction to Planning Modules: This section of the exam measures the skills of an EPM Consultant and introduces the available Planning modules, their integration, and use cases.
Topic 14
  • Assign access permissions to artifacts and cells in Planning: This section of the exam measures the skills of a Planning Administrator and involves granting permissions to users for accessing specific Planning objects and data.
Topic 15
  • Planning Overview: This section of the exam measures the skills of an EPM Consultant and covers the general features of Planning. It includes how Planning works, its core capabilities, and how it fits into enterprise performance management.

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Oracle Planning 2025 Implementation Professional Sample Questions (Q81-Q86):NEW QUESTION # 81
In which three ways can you create data maps that copy data using Smart Push?
  • A. From Tax Reporting Cloud to Planning
  • B. Between two Planning instances
  • C. From Planning to Financial Consolidation and Close
  • D. From Planning to Tax Reporting Cloud
  • E. From Financial Consolidation and Close to Planning
Answer: B,C,E
Explanation:
In Oracle Planning 2024, Smart Push is a feature within data maps that enables efficient, real-time data movement between Oracle EPM Cloud applications or instances. It copies data dynamically when triggered (e.
g., via forms or rules). The three supported ways to create data maps with Smart Push are:
* A. From Planning to Tax Reporting Cloud: Incorrect. Smart Push does not support direct data movement from Planning to Tax Reporting Cloud, as these modules lack a predefined integration path for this feature.
* B. From Tax Reporting Cloud to Planning: Incorrect. Similarly, Smart Push does not facilitate data movement from Tax Reporting Cloud to Planning.
* C. From Financial Consolidation and Close to Planning: Correct. Smart Push supports moving consolidated data (e.g., actuals) from Financial Consolidation and Close (FCC) to Planning for planning purposes.
* D. From Planning to Financial Consolidation and Close: Correct. Smart Push allows pushing planned data from Planning to FCC for consolidation or reporting.
* E. Between two Planning instances: Correct. Smart Push can move data between two Planning instances (e.g., test and production environments) to synchronize data.
These three options-C, D, and E-are explicitly supported by Smart Push in Oracle EPM Cloud, as per the documentation, enabling seamless data integration across these applications.
References:
Oracle Planning 2024 Implementation Study Guide: "Using Smart Push in Data Maps" (docs.oracle.com, Published 2024-09-30).
Oracle EPM Cloud Documentation: "Data Integration with Smart Push" (docs.oracle.com, Published 2023-12-
20, updated for 2024).

NEW QUESTION # 82
Which two can be used to push data between cubes?
  • A. Copy Data
  • B. Import Data
  • C. Data Integration
  • D. Data Maps
Answer: A,D
Explanation:
In Oracle Planning 2024, pushing data between cubes (e.g., from one cube to another within the same application) can be accomplished using specific tools. The two methods that facilitate this are:
* A. Data Integration: Incorrect. Data Integration is used to import data from external sources (e.g., files, other systems) into Planning, not to push data between cubes within the same application.
* B. Data Maps: Correct. Data Maps allow you to define mappings and push data between cubes (or applications) using Smart Push or manual execution. This is a primary method for intra-application data movement.
* C. Copy Data: Correct. The Copy Data feature enables administrators to copy data from one cube to another within the same Planning application, specifying dimensions and members to transfer.
* D. Import Data: Incorrect. Import Data is designed to bring external data into a cube from a file, not to push data between existing cubes.
Both Data Maps (with Smart Push for real-time updates) and Copy Data (for batch-style transfers) are explicitly supported for moving data between cubes, as per Oracle's documentation, making B and C the correct answers.
References:
Oracle Planning 2024 Implementation Study Guide: "Moving Data Between Cubes" (docs.oracle.com, Published 2024-09-05).
Oracle EPM Cloud Documentation: "Data Maps and Copy Data Features" (docs.oracle.com, Published 2023-
12-25, updated for 2024).

NEW QUESTION # 83
You want to share detailed benefits data from Workforce with Financials. Which set of steps must you perform?
  • A. Enable and configure Financials and Workforce. Then to capture Workforce expenses for employees, enable Standard Rates from Workforce. For the Compensation Data for Reporting data map, synchronize and then push the data.
  • B. Enable and configure Financials and Workforce. When enabling Financials, create a custom Benefits O dimension to which to map the data. On the Financials Integration Summary form, run Calculate Compensation to update the Workforce data.
  • C. Enable and configure Financials and Workforce. Then in Workforce Benefits and Taxes, select a financial account to which to map the benefit. For Compensation Data, synchronize and run the data map.
  • D. Enable and configure Financials and Workforce. When enabling Workforce, create a custom Benefits dimension to which to map the data. Then for the Financial Statement Integration data map, synchronize and push the data.
Answer: C

NEW QUESTION # 84
Which task must be completed before EPM administrators import a Machine Learning model into Planning?
  • A. Data Scientists create Groovy rules designed to evaluate historical data and identify patterns.
  • B. Data Scientists build and train the ML model in a data science tool and save it as a PMML file.
  • C. EPM Administrators create a data model and push data to it to generate a PMML file.
  • D. EPM Administrators create data maps and Groovy rules to move and process data.
Answer: B
Explanation:
Before an EPM (Enterprise Performance Management) administrator can import a Machine Learning (ML) model into Oracle Planning, a prerequisite task must be completed by data scientists. According to Oracle's
"Bring Your Own ML" feature in the Planning application, the process begins with data scientists gathering historical data related to a business problem, training an ML algorithm, and generating a Predictive Model Markup Language (PMML) file using a third-party data science tool or Oracle Data Science Cloud. This PMML file represents a fully trained ML model that can then be imported into the Planning application by an EPM administrator.
Option A is correct because it aligns with this prerequisite step: the ML model must be pretrained and saved as a PMML file before the import process can begin. Option B is incorrect because Groovy rules are not created by data scientists to evaluate historical data; instead, these rules are automatically generated by the Planning application during the import process to integrate the ML model with the application. Option C is also incorrect, as EPM administrators do not generate PMML files by creating data models and pushing data- instead, they import an existing PMML file. Finally, Option D is incorrect because while EPM administrators may create data maps and Groovy rules as part of the deployment process, this occurs after the PMML file is imported, not before.
The Oracle Planning 2024 Implementation documentation emphasizes that the "Bring Your Own ML" functionality relies on importing a prebuilt PMML file, making the data scientists' role in building and training the model a mandatory first step.
References:
Oracle Planning 2024 Implementation Study Guide: "Bring Your Own ML: About Machine Learning Model Import" (docs.oracle.com, Published 2024-09-04).
Oracle EPM Cloud Documentation: "Importing ML Models" (docs.oracle.com, Published 2022-06-17, updated for 2024).

NEW QUESTION # 85
Which three are benefits of using Groovy rules?
  • A. You can use Groovy rules to define member formulas that combine operators, calculations on members in Dimension Editor.
  • B. You can use Groovy rules to dynamically generate calculations scripts at run time based on contexts defined in the Groovy script.
  • 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 dynamically calculate data and add validation checks before saving data on custom composite forms.
  • E. 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.
Answer: B,C,E

NEW QUESTION # 86
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