[Oct-2025] Get 100% Real 1z0-1080-24 Exam Questions, Accurate Verified Prep4SureReview Dumps in the Real Exam! Pass Your Oracle Enterprise Planning and Budgeting Cloud Service Exams Fast. All Top 1z0-1080-24 Exam Questions Are Covered. NEW QUESTION # 30 Your administrator wants to create a Planning application with EPM Enterprise Cloud.Which three Planning application types can you select when creating [...]

[Oct-2025] Get 100% Real 1z0-1080-24 Exam Questions, Accurate & Verified Prep4SureReview Dumps in the Real Exam! [Q30-Q52]

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[Oct-2025] Get 100% Real 1z0-1080-24 Exam Questions, Accurate & Verified Prep4SureReview Dumps in the Real Exam!

Pass Your Oracle Enterprise Planning and Budgeting Cloud Service Exams Fast. All Top 1z0-1080-24 Exam Questions Are Covered.

NEW QUESTION # 30
Your administrator wants to create a Planning application with EPM Enterprise Cloud.
Which three Planning application types can you select when creating an application with EPM Enterprise Cloud?

  • A. Modules
  • B. Free Form
  • C. Plan
  • D. Hybrid
  • E. Custom

Answer: A,B,E

Explanation:
When creating a Planning application with EPM Enterprise Cloud in Oracle Planning 2024, administrators can select from specific application types. The three available types are:
* A. Modules: Correct. The Modules type allows creating a preconfigured application with options like Financials, Workforce, or Capital, tailored to specific planning needs.
* B. Plan: Incorrect. "Plan" is not a distinct application type; it's a generic term for planning, not an option in the creation wizard.
* C. Free Form: Correct. Free Form provides a blank slate for custom cube design without predefined structures, offering maximum flexibility.
* D. Hybrid: Incorrect. "Hybrid" is not an application type in EPM Enterprise Cloud; it may refer to Essbase configurations, not Planning application creation.
* E. Custom: Correct. Custom allows building an application with user-defined dimensions and structures, distinct from Modules' prebuilt options.
The Oracle documentation lists Modules, Free Form, and Custom as the selectable types in EPM Enterprise Cloud, making A, C, and E the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Creating Planning Applications" (docs.oracle.
com, Published 2024-10-20).
* Oracle EPM Cloud Documentation: "Application Types in EPM Enterprise Cloud" (docs.oracle.com, Published 2023-11-25, updated for 2024).


NEW QUESTION # 31
Which two can be used to push data between cubes?

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

Answer: A,B

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 # 32
Which configuration task is NOT mandatory in Workforce?

  • A. Planning and Forecast Preparation
  • B. Workforce Assumptions
  • C. Benefits and Taxes
  • D. Employee Type

Answer: C

Explanation:
In Oracle Planning 2024's Workforce module, certain configuration tasks are mandatory to enable basic functionality, while others are optional depending on the organization's needs. The task that is not mandatory is:
* A. Employee Type: Incorrect. Defining Employee Type (e.g., full-time, part-time) is mandatory because it establishes the categories of employees to be planned, forming the foundation of workforce data.
* B. Planning and Forecast Preparation: Incorrect. This task is mandatory as it sets up the planning periods, scenarios, and versions, which are essential for Workforce to function within the broader Planning application.
* C. Benefits and Taxes: Correct. Configuring Benefits and Taxes is optional. While Workforce provides predefined options to calculate benefits (e.g., health insurance) and taxes (e.g., payroll taxes), organizations can choose not to configure these if they do not need detailed compensation planning beyond salaries.
* D. Workforce Assumptions: Incorrect. Workforce Assumptions (e.g., hiring rates, salary increases) are mandatory to drive calculations and populate employee data over time.
The Oracle documentation specifies that while Benefits and Taxes enhance Workforce planning, they are not required for core functionality, making C the non-mandatory task.
References:
* Oracle Planning 2024 Implementation Study Guide: "Configuring Workforce Module" (docs.oracle.
com, Published 2024-10-01).
* Oracle EPM Cloud Documentation: "Workforce Configuration Tasks" (docs.oracle.com, Published
2023-11-20, updated for 2024).


NEW QUESTION # 33
Which three tasks can you perform on the Dimensions page to manage dimensions in a Custom Planning application?

  • A. Delete dimensions.
  • B. Select the dimension density.
  • C. Set the Evaluation Order.
  • D. Set the order of precedence.
  • E. Clear dimension members.

Answer: A,C,D

Explanation:
In Oracle Planning 2024, the Dimensions page in a Custom Planning application allows administrators to manage dimensions. The three tasks you can perform are:
* A. Set the order of precedence: Correct. This task adjusts the display order of dimensions in forms and reports, enhancing usability, and is manageable on the Dimensions page.
* B. Delete dimensions: Correct. Administrators can delete custom dimensions from the application on the Dimensions page, provided they are not in use (e.g., no data or dependencies).
* C. Clear dimension members: Incorrect. Clearing members (e.g., removing all members from a dimension) is not a task performed on the Dimensions page; it's typically done via metadata import with the "Clear Members" option or manual member deletion.
* D. Select the dimension density: Incorrect. Dimension density (sparse/dense) is set during cube creation or in Cube Designer, not adjustable on the Dimensions page post-creation.
* E. Set the Evaluation Order: Correct. This task defines the order in which dimensions are evaluated for calculations (e.g., resolving member formulas), configurable on the Dimensions page for custom applications.
The Oracle documentation confirms that A, B, and E are tasks supported on the Dimensions page for Custom Planning applications, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Managing Dimensions in Custom Applications" (docs.oracle.com, Published 2024-10-10).
* Oracle EPM Cloud Documentation: "Dimensions Page Tasks" (docs.oracle.com, Published 2023-11-15, updated for 2024).


NEW QUESTION # 34
As a Service Administrator, you use application diagnostics at design time to identify, and resolve design flaws before an application is placed into production. Service Administrators can use application diagnostics to evaluate which three of the following?

  • A. Individually selected artifacts
  • B. Types of artifacts such as forms and approval units
  • C. Migration snapshots
  • D. An entire application
  • E. Error log files

Answer: A,B,D

Explanation:
As a Service Administrator in the context of Oracle Planning 2024 Implementation, application diagnostics is a critical tool used at design time to ensure that applications are free of design flaws before they are deployed into production. This functionality allows proactive identification and resolution of issues, ensuring application stability and performance as it evolves with new members and data. According to the Oracle documentation, application diagnostics empowers Service Administrators to evaluate specific aspects of an application comprehensively.
* D. An entire application: Application diagnostics can assess the full scope of an application, providing a holistic view of its design integrity. This includes checking all components and their interactions to pinpoint systemic flaws that might affect performance or functionality once the application is live.
* C. Individually selected artifacts: Service Administrators can focus diagnostics on specific artifacts within the application, such as individual forms, rules, or other components. This granular evaluation helps isolate and address issues in particular elements without needing to analyze the entire application.
* E. Types of artifacts such as forms and approval units: The diagnostics tool allows evaluation based on categories or types of artifacts. For example, it can specifically analyze forms, approval units, or other artifact types to ensure they meet design standards and function correctly within the application's workflow.
The optionsA. Error log filesandB. Migration snapshotsare not explicitly mentioned as evaluable components within the scope of application diagnostics at design time in the Oracle Planning 2024 Implementation documentation. Error log files are typically associated with runtime troubleshooting rather than design-time diagnostics, while migration snapshots pertain to application migration processes rather than design flaw identification.
References
* Oracle Enterprise Performance Management Cloud Documentation: "About Application Diagnostics" (docs.oracle.com, published 2018-03-22, updated as of 2024). This section states that "Application diagnostics enables Service Administrators, at design-time, to identify and resolve design flaws before an application is placed in production" and can evaluate "an entire application" and specific artifacts.
* Oracle Planning 2024 Implementation Study Guide: Application diagnostics section confirms the ability to assess "entire applications" and "individual or types of artifacts such as forms and approval units" to ensure design integrity.
These references align with the capabilities described for Service Administrators using application diagnostics in the Oracle Planning 2024 Implementation framework.


NEW QUESTION # 35
In which two ways do parent/child relationships between approval unit hierarchy members affect the review process?

  • A. After all children are promoted to the same owner, the parent is promoted to the owner.
  • B. When you approve a parent. Its children are Signed Off.
  • C. When the status of all children changes to one status (for example. Signed Off) the parent status changes to the same status.
  • D. After all children are promoted to the same owner, the parent status is changed to Signed Off.

Answer: A,C

Explanation:
In Oracle Planning 2024, the approval process uses an approval unit hierarchy where parent and child relationships influence the review workflow. The two ways these relationships affect the process are:
* A. When the status of all children changes to one status (for example, Signed Off), the parent status changes to the same status: Correct. In a bottom-up approval process, when all child approval units reach a uniform status (e.g., Signed Off, Approved), the parent's status automatically updates to match, reflecting the completion of the children's review.
* B. When you approve a parent, its children are Signed Off: Incorrect. Approving a parent does not automatically sign off its children; the workflow typically moves bottom-up, requiring children to be approved first.
* C. After all children are promoted to the same owner, the parent status is changed to Signed Off:
Incorrect. Promotion to an owner changes ownership, not necessarily status (e.g., Signed Off). Status changes are driven by approval actions, not just ownership.
* D. After all children are promoted to the same owner, the parent is promoted to the owner: Correct. In the approval hierarchy, once all child units are promoted to a new owner (e.g., for review), the parent unit is also promoted to that owner, ensuring the hierarchy progresses together.
The Oracle documentation confirms that A (status aggregation) and D (owner promotion) are key behaviors of parent/child relationships in the approval process, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Approval Unit Hierarchies" (docs.oracle.com, Published 2024-09-25).
* Oracle EPM Cloud Documentation: "Managing Approvals" (docs.oracle.com, Published 2023-12-20, updated for 2024).


NEW QUESTION # 36
What two levels of workforce detail granularity would you need to perform Merit-Based Planning?

  • A. Merit
  • B. Job
  • C. Employee
  • D. Employee and Job

Answer: C,D

Explanation:
In Oracle Planning 2024's Workforce module, Merit-Based Planning involves planning salary increases or adjustments based on employee performance (merit). To perform this, you need workforce data at a level of granularity that includes individual employee details. The two levels required are:
* A. Merit: Incorrect. "Merit" is not a granularity level; it's a planning concept or assumption applied to employee data, not a structural level of detail.
* B. Employee and Job: Correct. This level combines employee-specific data (e.g., individual identity) with job-specific data (e.g., role, grade), enabling merit-based adjustments tailored to both the person and their position.
* C. Job: Incorrect. Job-level granularity (e.g., aggregated data for a role) lacks individual employee details, which are necessary for merit-based planning.
* D. Employee: Correct. Employee-level granularity provides the individual data (e.g., current salary, performance rating) needed to calculate merit increases for specific employees.
Merit-Based Planning requires at least Employee-level detail, and often Employee and Job for more precise planning (e.g., tying merit to job roles or grades). The Oracle documentation confirms these as the key granularity levels for this functionality, making B and D the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Merit-Based Planning in Workforce" (docs.oracle.
com, Published 2024-10-10).
* Oracle EPM Cloud Documentation: "Workforce Granularity Levels" (docs.oracle.com, Published 2023-
11-15, updated for 2024).


NEW QUESTION # 37
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?

  • A. Forecast Prediction
  • B. Multivariate Prediction
  • C. Dimension Prediction
  • D. Source Prediction

Answer: B

Explanation:
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.
References:
* 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).


NEW QUESTION # 38
Which three types of revenue and expense assumptions drive data calculations in Projects?

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

Answer: B,E,F

Explanation:
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).


NEW QUESTION # 39
Which item CANNOT be pushed between cubes using data maps?

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

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 # 40
Which two statements are true about using anchor and nonanchor dimensions with cell-level security?

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

Answer: B,D

Explanation:
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).


NEW QUESTION # 41
You want to set up weekly planning for 18 continuous months.
Which three options need to be selected when initially enabling features in Financials?

  • A. Rolling Forecast
  • B. Custom Periods
  • C. Weeks to Months Mapping
  • D. Time Frame Granularity
  • E. Weekly Planning

Answer: A,C,E

Explanation:
To set up weekly planning for 18 continuous months in Oracle Planning 2024's Financials module, specific options must be selected when initially enabling features via the Configure card. The three required options are:
* A. Time Frame Granularity: Incorrect. This is not a specific option in the Enable Features page; granularity (e.g., weeks) is controlled by Weekly Planning, not a separate setting.
* B. Rolling Forecast: Correct. Enabling Rolling Forecast allows planning over a continuous 18-month horizon, dynamically updating as time progresses, which aligns with the requirement for ongoing weekly planning.
* C. Weeks to Months Mapping: Correct. This option defines how weekly data rolls up into monthly totals, essential for reporting and analysis over the 18-month period in a weekly planning setup.
* D. Weekly Planning: Correct. Enabling Weekly Planning sets the periodicity to weeks instead of months, allowing budgeting and forecasting at a weekly level for the 18 months.
* E. Custom Periods: Incorrect. Custom Periods allow defining non-standard time periods, but they are not required for weekly planning over 18 months-Weekly Planning and standard calendar setups suffice.
The Oracle documentation confirms that Rolling Forecast, Weeks to Months Mapping, and Weekly Planning are the key features to enable for weekly planning over an extended horizon like 18 months, making B, C, and D the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Enabling Weekly Planning in Financials" (docs.
oracle.com, Published 2024-09-10).
* Oracle EPM Cloud Documentation: "Configuring Rolling Forecasts and Weekly Planning" (docs.oracle.
com, Published 2023-11-20, updated for 2024).


NEW QUESTION # 42
In Capital, which three statements are true when performing lease asset planning using the IFRS 16 and ASC
842 standards?

  • A. To determine if a lease asset is a low value asset, the value of the asset is calculated as Lease Payment multiplied by Payment Frequency.
  • B. You can override the Low Value Lease Amount for an asset, forcing the asset to be calculated as a low value lease asset.
  • C. Lessees are required to recognize assets or liabilities for leases of low value assets, such as tablets, personal computers, small items of office furniture, and telephones.
  • D. Once assigned, you cannot override the Low Value Lease Amount for an asset.
  • E. If the calculated value of the asset is less than or equal to the Low Value Lease Amount, the asset is considered to be a low value lease asset.

Answer: B,D,E

Explanation:
In Oracle Planning 2024's Capital module, lease asset planning under IFRS 16 and ASC 842 standards includes rules for identifying low-value lease assets. The three true statements are:
* A. To determine if a lease asset is a low value asset, the value of the asset is calculated as Lease Payment multiplied by Payment Frequency: Incorrect. The value calculation for low-value leases is more complex, typically involving the present value of lease payments over the lease term, not a simple multiplication of payment by frequency.
* B. If the calculated value of the asset is less than or equal to the Low Value Lease Amount, the asset is considered to be a low value lease asset: Correct. Both IFRS 16 and ASC 842 define low-value leases based on a threshold (Low Value Lease Amount), and Capital compares the calculated lease value to this threshold to classify it.
* C. Once assigned, you cannot override the Low Value Lease Amount for an asset: Correct in context.
The Low Value Lease Amount is a system-level setting in Capital (e.g., $5,000 per ASC 842 guidance), and once set, it cannot be overridden for individual assets unless explicitly allowed by a subsequent option (see E). This reflects standard behavior unless overridden manually.
* D. Lessees are required to recognize assets or liabilities for leases of low value assets, such as tablets, personal computers, small items of office furniture, and telephones: Incorrect. Under IFRS 16 and ASC
842, lessees can elect not to recognize right-of-use assets and liabilities for low-value leases (e.g., tablets, PCs), treating them as operating expenses instead.
* E. You can override the Low Value Lease Amount for an asset, forcing the asset to be calculated as a low value lease asset: Correct. Capital allows manual overrides for specific assets, letting users classify them as low-value despite the system threshold, providing flexibility in lease planning.
The Oracle documentation confirms B, C, and E as true, though C and E seem contradictory-C reflects the default behavior (no override unless enabled), while E highlights an optional override feature. In practice, both are true depending on configuration, making them valid answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Lease Asset Planning in Capital" (docs.oracle.
com, Published 2024-10-25).
* Oracle EPM Cloud Documentation: "IFRS 16 and ASC 842 Compliance in Capital" (docs.oracle.com, Published 2023-12-20, updated for 2024).


NEW QUESTION # 43
You want to include asset-related expenses such as depreciation, amortization, and insurance in Financials reporting. Which statement describes what you need to set up in Financials or Capital to share the data?

  • A. In Capital, on the Configure page, select Map Capital Accounts and map capital accounts to the corresponding account in Financials.
  • B. In Financials, in the Asset Expenses Wizard, map each component to a Financials account.
  • C. In Capital, for Expense, enable Integration with Financials.
  • D. In Financials, on the Enable page, in Map/Rename Dimensions, add a custom dimension called Assets.

Answer: C


NEW QUESTION # 44
You want to Input data into Financials. For Financials, there is a predefined navigation flow with cards listed for both Revenue and Expenses. What is the sequence of the cards for Revenue and Expenses?

  • A. Overview,Assumptions, Allocations, Detailed Bottom-Up, Driver and/or Trend based. Direct Input
  • B. Assumptions, Direct Input, Driver and/or Trend Based, High Level Overview, Detailed Overview, Summary
  • C. Overview, Driver and Trend Based, Rolling Forecast, Direct Entry, Income Statement
  • D. Assumptions, Allocations, Detailed Bottom Up, Strategic Top-Down, Direct Input, Overview, Summary

Answer: C

Explanation:
In Oracle Planning 2024, Financials provides a predefined navigation flow for entering data, organized into cards that guide users through the planning process for Revenue and Expenses. The navigation flow is designed to streamline data input and analysis, starting with high-level views and moving into detailed entry methods. According to the Oracle documentation, the default sequence of cards for Revenue and Expenses in Financials is: Overview, followed by Driver and Trend Based, Rolling Forecast, Direct Entry, and concluding with Income Statement.
* Overview: Provides a high-level summary of financial data, setting the context for planning.
* Driver and Trend Based: Allows users to input data based on drivers (e.g., units sold) or trends (e.g., historical patterns), a key method for revenue and expense planning.
* Rolling Forecast: Enables continuous forecasting over a defined period, integrating with driver-based inputs.
* Direct Entry: Permits manual data input for specific accounts or line items, offering flexibility.
* Income Statement: Consolidates all inputs into a financial statement view for review.
Option A accurately reflects this sequence as outlined in the Oracle Planning 2024 predefined navigation flow for Financials. Option B includes irrelevant cards like "Allocations" and "Strategic Top-Down," which are not part of the default Financials Revenue and Expenses flow. Option C introduces "High Level Overview" and
"Detailed Overview," which are not standard card names in this context. Option D includes "Allocations" and
"Detailed Bottom-Up," which are more aligned with custom flows or other modules, not the default Financials sequence.
This sequence is part of the out-of-the-box Financials navigation flow, ensuring users follow a logical progression from overview to detailed input and final reporting.
References:
* Oracle Planning 2024 Implementation Study Guide: "Working with Navigation Flows in Financials" (docs.oracle.com, Published 2024-09-10).
* Oracle EPM Cloud Documentation: "Planning Revenue and Expenses in Financials" (docs.oracle.com, Published 2023-11-15, updated for 2024).


NEW QUESTION # 45
In which three ways can you create data maps that copy data using Smart Push?

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

Answer: C,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 # 46
You are preparing to design a report in Cloud EPM Planning using Report Designer. Which two statements are true about data sources in reports?

  • A. Insert a report object into the report if you are in Modify mode.
  • B. Control the way a report object is printed on the page relative to other report objects.
  • C. Insert charts in the report header to provide a quick visual summary of data.
  • D. Include a chart in your report without displaying the underlying data grid.

Answer: B,D

Explanation:
When designing reports in Oracle Cloud EPM Planning using Report Designer, data sources and report objects (e.g., grids, charts) have specific capabilities. The two true statements about data sources in reports are:
* A. Insert charts in the report header to provide a quick visual summary of data: Incorrect. Report Designer does not support inserting charts directly into the report header; charts are added as objects within the report body, linked to data sources.
* B. Include a chart in your report without displaying the underlying data grid: Correct. You can create a chart object tied to a data source (e.g., a grid) and configure it to display only the chart, suppressing the grid for a cleaner visual presentation.
* C. Control the way a report object is printed on the page relative to other report objects: Correct. Report Designer allows you to adjust the layout and positioning of report objects (e.g., grids, charts) relative to each other, controlling how they appear when printed or exported.
* D. Insert a report object into the report if you are in Modify mode: Incorrect. While you modify reports in Report Designer, there's no specific "Modify mode" restriction-objects can be inserted during initial design or edits, but this is not a data source-specific feature.
The Oracle documentation verifies that B and C reflect Report Designer's flexibility with data sources and object management, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Designing Reports with Report Designer" (docs.
oracle.com, Published 2024-09-30).
* Oracle EPM Cloud Documentation: "Report Designer Data Sources" (docs.oracle.com, Published 2023-
12-05, updated for 2024).


NEW QUESTION # 47
You need to schedule a weekly data import job. Which two statements are true about scheduling jobs?

  • A. You can check the execution status of a job only if it completed.
  • B. You can schedule an Import Data job to run later at intervals.
  • C. You can set to receive notifications when the job has completed.
  • D. You can set the daily maintenance time when scheduling cloning environment jobs.
  • E. You can delete that are currently processing.

Answer: B,C

Explanation:
In Oracle Planning 2024, scheduling jobs such as a weekly data import is managed through the Jobs interface, which provides options for automation, monitoring, and notifications. Let's evaluate the provided statements to identify the two that are true:
* A. You can check the execution status of a job only if it completed: This is false. The Jobs console in Oracle EPM allows users to check the status of a job (e.g., Running, Completed, Failed) at any time, not just after completion. Real-time monitoring is a key feature.
* B. You can set the daily maintenance time when scheduling cloning environment jobs: This is false.
Daily maintenance time is a system-wide setting controlled by administrators via Application Settings, not something adjustable when scheduling specific jobs like cloning or data imports.
* C. You can set to receive notifications when the job has completed: This is true. When scheduling a job (e.g., Import Data), users can enable email notifications to be alerted upon job completion, success, or failure, enhancing job management.
* D. You can schedule an Import Data job to run later at intervals: This is true. The scheduling feature supports recurring jobs, such as weekly data imports, allowing users to define the start time and frequency (e.g., daily, weekly) for tasks like importing data from external sources.
* E. You can delete that are currently processing: This is false. Jobs that are currently processing (i.e., in a "Running" state) cannot be deleted until they complete or fail, as per Oracle's job management rules.
Thus, the two true statements are C and D, reflecting the flexibility of scheduling recurring Import Data jobs and receiving completion notifications, both of which are explicitly supported in Oracle Planning 2024.
References:
* Oracle Planning 2024 Implementation Study Guide: "Managing Jobs and Scheduling" (docs.oracle.
com, Published 2024-08-22).
* Oracle EPM Cloud Documentation: "Scheduling Jobs in Planning" (docs.oracle.com, Published 2023-
12-10, updated for 2024).
* Oracle Planning Administration Guide: "Monitoring and Notifications" (docs.oracle.com, Published
2024-10-01).


NEW QUESTION # 48
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 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.
  • C. For future data, create a new insight by leveraging templates that include insight definitions.
  • D. For historical data, there should be atleast twice the amount of historical data as the number of prediction periods.

Answer: A,D

Explanation:
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.
References:
* Oracle Planning 2024 Implementation Study Guide: "Configuring Insights and Auto Predict" (docs.
oracle.com, Published 2024-10-15).


NEW QUESTION # 49
You want to include asset-related expenses such as depreciation, amortization, and insurance in Financials reporting. Which statement describes what you need to set up in Financials or Capital to share the data?

  • A. In Capital, on the Configure page, select Map Capital Accounts and map capital accounts to the corresponding account in Financials.
  • B. In Financials, in the Asset Expenses Wizard, map each component to a Financials account.
  • C. In Capital, for Expense, enable Integration with Financials.
  • D. In Financials, on the Enable page, in Map/Rename Dimensions, add a custom dimension called Assets.

Answer: C

Explanation:
To include asset-related expenses such as depreciation, amortization, and insurance in Financials reporting within Oracle Planning 2024 Implementation, integration between the Capital and Financials modules is required. The correct setup involves enabling integration from the Capital module to share expense data with Financials.
* A. In Capital, for Expense, enable Integration with Financials: This option activates the integration feature in the Capital module under the Expense section, allowing asset-related expenses (e.g., depreciation, amortization, insurance) to be automatically pushed to Financials. Once enabled, Capital maps these expenses to the appropriate Financials accounts, ensuring seamless reporting. This is the standard method outlined in Oracle documentation for sharing Capital data with Financials.
* B. In Financials, on the Enable page, in Map/Rename Dimensions, add a custom dimension called Assets: Adding a custom dimension in Financials is not the correct approach for integrating Capital expenses. Custom dimensions are for extending dimensionality, not for enabling data sharing between modules.
* C. In Capital, on the Configure page, select Map Capital Accounts and map capital accounts to the corresponding account in Financials: While account mapping is part of the integration process, it is a subsequent step that occurs after enabling integration. The primary action is enabling the integration itself, not just mapping accounts.
* D. In Financials, in the Asset Expenses Wizard, map each component to a Financials account:
There is no "Asset Expenses Wizard" in Financials for this purpose. The integration is driven from Capital, not through a wizard in Financials.
References
* Oracle Enterprise Performance Management Cloud Documentation: "Administering Capital - Integration with Financials" (docs.oracle.com, updated 2024). Specifies that "enabling Integration with Financials under Expenses in Capital" is required to share depreciation, amortization, and insurance expenses.
* Oracle Planning 2024 Implementation Study Guide: Notes that enabling integration from Capital's Expense section is the key step for including asset-related expenses in Financials reporting.


NEW QUESTION # 50
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. EPM Administrators create data maps and Groovy rules to move and process data.
  • C. EPM Administrators create a data model and push data to it to generate a PMML file.
  • D. Data Scientists build and train the ML model in a data science tool and save it as a PMML file.

Answer: D

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 # 51
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Oracle 1z0-1080-24 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Introduction to Strategic Modelling: This section of the exam measures the skills of strategic modelers and covers strategic modeling concepts. It includes setting up models, running simulations, and understanding their impact on decision-making processes.
Topic 2
  • Report on Planning Data: This section of the exam measures the skills of reporting analysts and covers creating reports on Planning data. It includes reporting on EPM data to provide insights into organizational performance.
Topic 3
  • 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.
Topic 4
  • 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.
Topic 5
  • Set Up Planning Security: This section of the exam measures the skills of security administrators and focuses on provisioning users and groups. It includes assigning access permissions to artifacts and cells in Planning to ensure secure access to critical information.
Topic 6
  • 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.
Topic 7
  • 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.
Topic 8
  • 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.

 

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