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Oracle 1z0-1080-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

Map data across applications: This section of the exam measures the skills of an EPM Consultant and includes how to map and align data structures between Planning and other connected applications.

Topic 3

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 4

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 5

Describe Planning modules: This section of the exam measures the skills of an EPM Consultant and includes identifying different modules like Financials, Workforce, Projects, and Capital.

Topic 6

Report on Planning Data: This section of the exam measures the skills of a Planning Administrator and focuses on generating reports to analyze and present Planning data effectively.

Topic 7

Create Reports: This section of the exam measures the skills of a Planning Administrator and involves creating reports that summarize planning activities and outcomes.

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

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 10

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 11

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 12

Design forms and dashboards: This section of the exam measures the skills of an EPM Consultant and covers designing planning input forms and visual dashboards to support decision-making.

Topic 13

Set up valid and invalid intersections and cell-level security: This section of the exam measures the skills of an EPM Consultant and focuses on defining valid data intersections and applying security controls to limit data access at the cell level.

Topic 14

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 15

Set Up Planning Security: This section of the exam measures the skills of a Planning Administrator and includes provisioning user roles and assigning appropriate access rights across Planning artifacts and data.

Topic 16

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 17

Explain the benefits of using Groovy Rules: This section of the exam measures the skills of an EPM Consultant and explains how Groovy scripting enhances rule flexibility and performance.

Topic 18

Provision users and groups. This section of the exam measures the skills of a Planning Administrator and covers how to manage user access by assigning them to appropriate roles and groups.

Topic 19

Explain required and user-defined dimensions; how dimension hierarchies impact Planning

Topic 20

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 21

Report on EPM data: This section of the exam measures the skills of a Planning Administrator and covers using reporting tools to analyze data stored in EPM applications.

Topic 22

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 23

Create and run data integrations: This section of the exam measures the skills of an EPM Consultant and involves building data integration flows between different data sources and Planning.

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Oracle Planning 2025 Implementation Professional Sample Questions (Q90-Q95):

NEW QUESTION # 90
Which two types of Groovy Rules are supported by Oracle?

A. Rules that dynamically calculate data and perform validation checks in tile charts and infolets
B. Rules that overwrite member formulas that combine operators and calculation functions, and perform calculations on members in Dimension Editor
C. Rules that can dynamically generate calculation scripts at run time based on contexts such as runtime prompts, the POV, the current grid, and so on
D. Pure Groovy rules that can perform data validations and cancel the operation if the data entered violates company policies

Answer: C,D

Explanation:
In Oracle Planning 2024, Groovy Rules enhance business logic flexibility. Oracle supports two main types of Groovy Rules:
* A. Rules that overwrite member formulas that combine operators and calculation functions, and perform calculations on members in Dimension Editor: Incorrect. Groovy Rules do not overwrite member formulas in the Dimension Editor; they operate at runtime and are defined in the Rules editor, not as static dimension overrides.
* B. Rules that can dynamically generate calculation scripts at run time based on contexts such as runtime prompts, the POV, the current grid, and so on: Correct. Oracle supports Groovy Rules that generate dynamic calc scripts based on runtime contexts (e.g., POV, grid data, prompts), enabling adaptive calculations.
* C. Pure Groovy rules that can perform data validations and cancel the operation if the data entered violates company policies: Correct. Pure Groovy Rules can validate data (e.g., checking ranges or policies) and cancel operations (e.g., via exceptions), a key feature for enforcing business rules.
* D. Rules that dynamically calculate data and perform validation checks in tile charts and infolets:
Incorrect. Groovy Rules operate on cubes and forms, not directly within tile charts or infolets, which are UI elements driven by underlying data, not rule execution points.
The Oracle documentation confirms B (dynamic script generation) and C (data validation) as supported Groovy Rule types, making them the correct answers.
References:
Oracle Planning 2024 Implementation Study Guide: "Groovy Rules in Planning" (docs.oracle.com, Published
2024-10-15).
Oracle EPM Cloud Documentation: "Supported Groovy Rule Types" (docs.oracle.com, Published 2023-11-
20, updated for 2024).

NEW QUESTION # 91
You are currently making modifications to loaded salary information using the Mass Update forms in Workforce. After making changes, which statements are true when working with Mass Update?

A. After making changes to salary information, you must run the Calculate Compensation business rule before saving data.
B. After making changes to salary information and saving the data on the form a Groovy rule runs to process the changeAfter data.
C. If an existing employee is not loaded from the load file, you won't be able to add their compensation information without first reloading a load file with the existing employee records.
D. After modifying salary, you can re-apply configured default assignments for benefits, additional earning and taxes

Answer: B,D

NEW QUESTION # 92
Which item CANNOT be pushed between cubes using data maps?

A. Attachments
B. Comments
C. Data change history
D. Supporting detail

Answer: C

Explanation:
In Oracle Planning 2024, data maps with Smart Push or manual execution can push various types of data between cubes within the same application or across applications. However, not all items can be transferred.
The item that cannot be pushed is:
* A. Comments: Incorrect. Comments (cell-level annotations) can be pushed between cubes using data maps, provided the mappings include the necessary dimensions.
* B. Attachments: Incorrect. Attachments linked to data cells can be transferred via data maps, as long as the target cube supports them and the mapping is configured correctly.
* C. Data change history: Correct. Data change history (audit trails tracking who changed what and when) is not transferable via data maps. It is metadata tied to the source cube's audit log, not a pushable data element.
* D. Supporting detail: Incorrect. Supporting detail (breakdowns of aggregated values) can be pushed between cubes if the target cube is configured to accept it and the mapping includes it.
The Oracle documentation specifies that data change history is excluded from data map transfers, as it's a system-maintained log, not a user-editable or movable data type, making C the correct answer.
References:
Oracle Planning 2024 Implementation Study Guide: "Data Maps and Pushable Items" (docs.oracle.com, Published 2024-10-05).
Oracle EPM Cloud Documentation: "Smart Push Capabilities" (docs.oracle.com, Published 2023-12-15, updated for 2024).

NEW QUESTION # 93
Your administrator creates a Pipeline definition to manage metadata, and data for your Planning application.
Which statement about pipelines is true?

A. Use pipelines to coordinate the running of a series of jobs as a single process.
B. Use pipelines as a visible, automated, and repeatable system of record for running an application.
C. Quickly drill into data slices that are important to you with pipelines.
D. Develop pipelines to guide you through the Planning process.

Answer: A

Explanation:
In Oracle Planning 2024, a Pipeline is a feature that allows administrators to define and automate a sequence of jobs (e.g., data imports, metadata updates, calculations) as a single, coordinated process. Pipelines streamline the management of metadata and data by executing multiple tasks in a specified order, ensuring dependencies are met, and providing a repeatable workflow for maintaining the Planning application.
* A. Develop pipelines to guide you through the Planning process: Incorrect. Pipelines are not a planning guide; they are an automation tool for executing jobs, not a process framework.
* B. Use pipelines as a visible, automated, and repeatable system of record for running an application:
Incorrect. While pipelines are automated and repeatable, they are not a "system of record" for running the entire application-they focus on specific job sequences.
* C. Use pipelines to coordinate the running of a series of jobs as a single process: Correct. This aligns with the Oracle definition of pipelines, which orchestrate multiple jobs (e.g., import data, refresh database) into one executable process.
* D. Quickly drill into data slices that are important to you with pipelines: Incorrect. Pipelines are not designed for data analysis or drilling into data slices; they are for job automation.
The Oracle documentation emphasizes that pipelines are used to manage and execute a series of jobs efficiently, making C the true statement.
References:
Oracle Planning 2024 Implementation Study Guide: "Working with Pipelines" (docs.oracle.com, Published
2024-10-05).
Oracle EPM Cloud Documentation: "Automating Tasks with Pipelines" (docs.oracle.com, Published 2023-11-
30, updated for 2024).

NEW QUESTION # 94
In which three ways can you create data maps that copy data using Smart Push?

A. From Planning to Tax Reporting Cloud
B. From Financial Consolidation and Close to Planning
C. From Tax Reporting Cloud to Planning
D. From Planning to Financial Consolidation and Close
E. Between two Planning instances

Answer: B,D,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 # 95
......

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