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Oracle 1z0-1080-24 시험요강:

주제	소개
주제 1	Manage Forms, Dashboards, and Navigation Flows: This section of the exam measures the skills of dashboard designers and covers designing forms, dashboards, and validation rules. It also includes creating and managing navigation flows to streamline user experience within Planning applications.
주제 2	Manage Approvals:This section of the exam measures the skills of approval process managers and covers setting up approval workflows in Planning. It explains how to configure approval processes to streamline decision-making within organizations.
주제 3	Planning Overview: This section of the exam measures the skills of planning administrators and focuses on understanding the features of Planning applications. It includes setting up Planning and Freeform applications, managing dimensions, and explaining the impact of dimension hierarchies. It also covers configuring valid and invalid intersections and cell-level security.
주제 4	Manage Rules: This section of the exam measures the skills of business rule developers and focuses on designing business rules and rulesets. It explains the benefits of Groovy Rules in enhancing performance and flexibility within Planning applications.
주제 5	Configure Intelligent Performance Management: This section of the exam measures the skills of machine learning specialists and focuses on configuring IPM components. It includes setting up machine learning models for predictive analytics within Planning applications.
주제 6	Introduction to Planning Modules: This section of the exam measures the skills of module planners and introduces Planning modules. It includes integrating modules, leveraging best practices for module planning, and configuring Financials, Workforce, Capital, and Projects.
주제 7	Manage Metadata and Data: This section of the exam measures the skills of data integration specialists and covers metadata and data management in Planning. It includes identifying metadata and data load options, importing and exporting metadata and data, setting up and running data maps, creating data integrations, and mapping data across applications.

최신 Oracle Enterprise Planning and Budgeting Cloud Service 1z0-1080-24 무료샘플문제 (Q19-Q24):

질문 # 19
Which two can be used to push data between cubes?

A. Copy Data
B. Import Data
C. Data Maps
D. Data Integration

정답：A,C

설명：
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).

질문 # 20
Which three types of revenue and expense assumptions drive data calculations in Projects?

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

정답：B,D,F

설명：
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.
* 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.
The Oracle Projects module documentation highlights that Working days and hours, Standard rates, and Project rates are foundational assumptions that calculate costs (e.g., labor expenses) and revenues (e.g., billable amounts), making them the correct choices.
References:
* 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).

질문 # 21
Which two statements are true about using anchor and nonanchor dimensions with cell-level security?

A. Anchor dimensions are always required in the cube that is used in the cell-level security definition.
B. Anchor dimensions are never required in the cube that is used in the cell-level security definition.
C. By default, nonanchor dimensions are required. You can change this setting later.
D. By default, nonanchor dimensions are not required.

정답：A,D

설명：
In Oracle Planning 2024, cell-level security restricts access to specific data intersections using anchor and nonanchor dimensions. The two true statements are:
* A. Anchor dimensions are always required in the cube that is used in the cell-level security definition:
Correct. Anchor dimensions (e.g., Entity, Scenario) are mandatory in the security definition to specify the primary scope of access control within the cube.
* B. Anchor dimensions are never required in the cube that is used in the cell-level security definition:
Incorrect. Anchor dimensions are always required, contradicting this statement.
* C. By default, nonanchor dimensions are not required: Correct. Nonanchor dimensions (e.g., Account, Period) are optional by default in cell-level security definitions, allowing flexibility in granularity unless explicitly included.
* D. By default, nonanchor dimensions are required. You can change this setting later: Incorrect.
Nonanchor dimensions are not required by default, and there's no setting to make them mandatory-it's an optional inclusion.
The Oracle documentation specifies that A (anchor necessity) and C (nonanchor optional) align with cell-level security behavior, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Cell-Level Security Configuration" (docs.oracle.
com, Published 2024-09-30).
* Oracle EPM Cloud Documentation: "Anchor and Nonanchor Dimensions" (docs.oracle.com, Published
2023-12-05, updated for 2024).

질문 # 22
Which two statements are true about approval units?

A. Approval units can also include secondary dimensions within any entity.
B. You can set the option in Application Settings to include detailed annotations for approval units.
C. Approval units are combinations of scenario, version, and entity or part of an entity.
D. You can have up to three scenario/version combinations per approval unit.

정답：A,C

설명：
In Oracle Planning 2024, approval units manage the review process. The two true statements are:
* A. You can have up to three scenario/version combinations per approval unit: Incorrect. There's no strict limit of three scenario/version combinations per approval unit; multiple combinations are possible based on hierarchy design.
* B. Approval units are combinations of scenario, version, and entity or part of an entity: Correct.
Approval units are defined by Scenario (e.g., Budget), Version (e.g., Working), and Entity (e.g., Department) or entity hierarchies, forming the basis of the approval process.
* C. Approval units can also include secondary dimensions within any entity: Correct. Secondary dimensions (e.g., Product, Project) can be added to approval units within an entity to refine the scope of approval.
* D. You can set the option in Application Settings to include detailed annotations for approval units:
Incorrect. Annotations are cell-level notes, not an Application Settings option tied to approval units; they're managed separately.
The Oracle documentation confirms B and C as accurate descriptions of approval units, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Approval Units Overview" (docs.oracle.com, Published 2024-09-15).
* Oracle EPM Cloud Documentation: "Configuring Approval Units" (docs.oracle.com, Published 2023-
12-10, updated for 2024).

질문 # 23
In which three ways can you create data maps that copy data using Smart Push?

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

정답：A,C,E

설명：
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).

질문 # 24
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1z0-1080-24최신인증시험정보덤프자료

1z0-1080-24인기덤프자료 & 1z0-1080-24퍼펙트 덤프 최신 샘플

Oracle 1z0-1080-24 시험요강:

최신 Oracle Enterprise Planning and Budgeting Cloud Service 1z0-1080-24 무료샘플문제 (Q19-Q24):

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