[Dec 10, 2025] 1z0-1080-24 PDF Questions and Testing Engine With 52 Questions [Q12-Q28]

When designing a report in Reports for Oracle Enterprise Performance Management Cloud and encountering an error (indicated by a red bar above the report header), the issue often stems from report object configuration. The two possible causes are:
* A. The report name is blank when you use a text function to display the name: Incorrect. A blank report name might cause display issues, but it’s not a common cause of a report object error flagged by a red bar-errors typically relate to objects or data sources, not naming.
* B. The report object overlaps with another report object: Correct. Overlapping objects (e.g., grids, charts) can cause rendering or validation errors in Report Designer, triggering an error indicator like a red bar due to layout conflicts.
* C. The data source connection for the report is no longer valid: Correct. If the data source (e.g., a cube or grid definition) becomes invalid (e.g., deleted, renamed, or inaccessible), the report cannot retrieve data, resulting in an error marked by a red bar.
* D. The size of the inserted graphic is too large: Incorrect. While large graphics might affect performance or formatting, they do not typically cause a report object error flagged by a red bar-size issues are more likely to impact display than functionality.
The Oracle documentation identifies B (object overlap) and C (invalid data source) as frequent causes of errors in Report Designer, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: “Troubleshooting Reports in Report Designer” (docs.oracle.com, Published 2024-10-20).
* Oracle EPM Cloud Documentation: “Report Designer Error Handling” (docs.oracle.com, Published
2023-11-25, updated for 2024).

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).

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).

In Oracle Planning 2024, Navigation Flows can be customized to tailor the user interface and experience based on specific categories. The three customization categories supported are Role, Group, and Global:
* A. Role: Navigation Flows can be customized for specific user roles (e.g., Planner, Administrator), allowing different layouts or access to cards based on job functions.
* C. Group: Customization can be applied to user groups, enabling administrators to assign tailored navigation flows to predefined sets of users based on their team or department.
* E. Global: Global customization applies to all users across the application, serving as the default navigation flow unless overridden by Role or Group settings.
* B. User: This is incorrect because Oracle Planning does not support navigation flow customization at the individual user level-customizations are broader, targeting roles or groups.
* D. Artifact: This is incorrect because “Artifact” refers to application components (e.g., forms, rules) managed in migration, not a category for navigation flow customization.
The Oracle documentation confirms that Role, Group, and Global are the three levels at which navigation flows can be customized, providing flexibility in how users interact with the Planning application.
References:
* Oracle Planning 2024 Implementation Study Guide: “Customizing Navigation Flows” (docs.oracle.
com, Published 2024-08-30).
* Oracle EPM Cloud Documentation: “Navigation Flow Administration” (docs.oracle.com, Published
2023-12-05, updated for 2024).

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).

In Oracle Planning 2024, importing metadata from a flat file into Planning involves specific rules and capabilities. The three true statements are:
* A. You can rename or delete members of attribute dimensions during a metadata import: Incorrect.
Metadata imports update dimension members (e.g., adding, updating properties), but renaming or deleting attribute dimension members is not directly supported via flat file import-it requires manual action or a separate process.
* B. You can import data forms, dashboards, and infolets by loading a local import file or an import file from the Inbox server: Incorrect. Flat file imports are for metadata (e.g., dimensions, members), not artifacts like forms, dashboards, or infolets, which are managed via Migration or Application tools.
* C. Your import file must contain a list of metadata records. Each metadata record contains a delimited list of property values that matches the order designated in the header record: Correct. The import file format requires a header defining properties (e.g., Name, Parent) and subsequent records with delimited values (e.g., CSV) matching that order, a standard requirement for metadata imports.
* D. When selecting to clear members during import, any member not specified is deleted from the outline after importing the dimension unless it is an ancestor of a member that was specified, or is a base member of a shared member that was specified: Correct. When the “Clear Members” option is selected, unspecified members are removed, but ancestors of specified members and base members of shared members are retained to maintain hierarchy integrity.
* E. You can use the import file functionality to import more metadata or to perform incremental updates from the source system: Correct. Metadata imports support both full loads and incremental updates, allowing administrators to add or modify members as needed from a source system.
The Oracle documentation verifies that C, D, and E accurately describe the metadata import process, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: “Importing Metadata from Flat Files” (docs.oracle.
com, Published 2024-10-05).
* Oracle EPM Cloud Documentation: “Metadata Import Guidelines” (docs.oracle.com, Published 2023-
11-25, updated for 2024).

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).

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.

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).

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).

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).

In Oracle Planning 2024, importing data from a file and saving the operation as a job involves specific steps and options. The two true statements about Import Data jobs are:
* A. Reference a data file stored locally when creating the Import Data job: Incorrect. Oracle EPM Cloud does not allow referencing files stored locally on a user’s machine for Import Data jobs. Files must be uploaded to the cloud environment (e.g., Inbox) for processing.
* B. Select the option to clear data before import: Correct. When configuring an Import Data job, you can choose to clear existing data in the target before importing new data. This option ensures a clean slate for the import, avoiding data duplication or overlap, and is a standard feature in the job setup.
* C. Upload your data file to the Inbox before running the Import Data job: Correct. Oracle requires that data files be uploaded to the Inbox (or another cloud storage location like the Outbox) before scheduling or running an Import Data job. The job then references this uploaded file for execution.
* D. Include the path for the data file stored on the server: Incorrect. While you specify a file name in the job definition, you do not manually include a server path. The system automatically manages file locations within the cloud environment (e.g., Inbox), and users select files from there, not via explicit server paths.
The documentation confirms that uploading the file to the Inbox and optionally clearing data are key aspects of setting up an Import Data job, making B and C the true statements.
References:
* Oracle Planning 2024 Implementation Study Guide: “Importing Data and Creating Jobs” (docs.oracle.
com, Published 2024-10-20).
* Oracle EPM Cloud Documentation: “Managing Data Import Jobs” (docs.oracle.com, Published 2023-
11-05, updated for 2024).

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).

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).

In Oracle Planning 2024, the Optimize Dimension feature enhances performance by reordering dimensions in BSO (Block Storage Option) cubes. Let’s evaluate the six statements to determine the four that are true:
* A. The new optimized dimension order is maintained even if you enable additional features or other modules: True. Once optimized, the dimension order remains intact even if new features or modules are enabled, unless explicitly re-optimized or manually altered. This ensures performance stability post- optimization.
* B. You can optimize the dimension order only for BSO cubes in Custom Planning applications: True.
The Optimize Dimension feature is exclusively available for BSO cubes in Custom Planning applications, not for ASO (Aggregate Storage Option) cubes or module-based applications (e.g., Financials, Workforce), due to their predefined structures.
* C. You can optimize the dimension order only for Financials and Projects, and only for the provided BSO cubes that are created when you enable and configure: False. This statement is incorrect because the feature applies to Custom Planning applications, not specifically to Financials and Projects, which use predefined BSO cubes not eligible for user-driven dimension optimization.
* D. You optimize dimension order first in your test environment before you optimize dimension order in the production environment: True. Oracle recommends testing dimension optimization in a test environment first as a best practice to assess performance impacts and avoid risks in production, making this a procedural truth.
* E. You refresh the database and then back up the application and download the snapshot before you optimize dimension order: True. Before optimizing, Oracle advises refreshing the database to ensure data consistency, then backing up the application and downloading a snapshot to preserve a recovery point in case optimization causes issues.
* F. You can optimize the dimension order only for Financials and Workforce, and only for the provided BSO cubes that are created when you enable and configure: False. Similar to C, this is incorrect; optimization is not restricted to Financials and Workforce module cubes-it’s for Custom Planning BSO cubes, not predefined module-specific cubes.
From these, the four true statements are:
* A – Persistence of the optimized order after feature/module changes.
* B – Restriction to BSO cubes in Custom Planning applications.
* D – Testing in a test environment first as a best practice.
* E – Refreshing and backing up before optimization.
The false statements (C and F) incorrectly limit the feature to specific modules (Financials, Projects, Workforce), whereas it’s designed for Custom Planning applications. The Oracle documentation supports A, B, D, and E as true, aligning with the feature’s functionality and recommended practices.
References:
* Oracle Planning 2024 Implementation Study Guide: “Optimize Dimension Feature” (docs.oracle.com, Published 2024-09-25).
* Oracle EPM Cloud Documentation: “BSO Dimension Optimization” (docs.oracle.com, Published 2023-
12-20, updated for 2024).

In Oracle Planning 2024’s Capital module, enabling Named Assets allows planning for specific, individually tracked assets (e.g., equipment, buildings) rather than generic asset categories. The two tasks you can perform when enabling Named Assets are:
* A. Add the names of assets to plan at the detail level: Correct. When enabling Named Assets, you can specify the names of individual assets (e.g., “Truck A,” “Building 1”) to plan their costs, depreciation, and other details at a granular level.
* B. Specify the likely number of tangible and intangible assets that you want to add in a planning cycle:
Incorrect. While you estimate a maximum number of Named Assets during enablement, you don’t specify them by tangible/intangible categories-the distinction is managed later in asset planning, not at enablement.
* C. Decrease the number of named assets after enabling Named Assets: Incorrect. Once Named Assets is enabled with a maximum number, you cannot decrease this limit directly; it requires reconfiguration or disabling/re-enabling the feature, which is not a standard task.
* D. Increase the number of named assets after enabling Named Assets: Correct. After enablement, you can increase the maximum number of Named Assets (e.g., from 100 to 150) via the Configure card, allowing more assets to be added as needed.
The Oracle documentation confirms that A (adding asset names) and D (increasing the count post- enablement) are supported tasks for Named Assets, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: “Enabling Named Assets in Capital” (docs.oracle.
com, Published 2024-09-20).
* Oracle EPM Cloud Documentation: “Capital Named Assets Configuration” (docs.oracle.com, Published
2023-11-10, updated for 2024).