Free and Premium Oracle 1z0-1080-25 Dumps Questions Answers

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.

In Oracle Planning 2024 Implementation, form validation rules ensure data integrity and usability by defining how forms are validated when loaded or saved. The platform supports multiple validation options tailored to performance, security, and user access, as outlined below:

A. Validate only for cells and pages to which a user has access: This option restricts validation to the data cells and form pages that the logged-in user has permission to view or edit, based on security settings. It enhances performance by limiting the validation scope and ensures users only interact with relevant data.

C. Validate for all page combinations and all existing or potential blocks: This comprehensive validation option checks all possible page combinations and data blocks (both existing and potential) within the form. It is useful for ensuring complete data consistency across the application, though it may impact performance due to its extensive scope.

E. Validate only for pages with existing blocks: This option limits validation to pages that already contain data blocks, ignoring potential blocks that could be created. It strikes a balance between performance and thoroughness, focusing validation efforts on existing data.

B. Validate rules as Service Administrator, regardless of logged-in user, when the form is loaded or saved: While Service Administrators have elevated privileges, this is not a distinct form validation rule option. Validation rules are applied based on form settings and user access, not specifically tied to the Service Administrator role overriding the logged-in user’s context.

D. Validate only for users with access to this form: This option overlaps with A but is less precise. Validation is tied to cell-level and page-level access rather than a broad "users with access to this form" criterion, making A the more accurate choice per Oracle’s terminology.

References

Oracle Enterprise Performance Management Cloud Documentation: "Designing Forms – Validation Rules" (docs.oracle.com, updated 2024). Describes validation options including "cells and pages a user has access to," "all page combinations and blocks," and "pages with existing blocks."

Oracle Planning 2024 Implementation Study Guide: Lists the three supported validation options (A, C, E) under form design and validation settings, aligning with security and performance optimization features.

In Oracle Planning 2024, predefined roles in Cloud EPM determine user permissions. The requirement is for a role that allows a Planning user to create and administer Planning or Planning Modules and service components, as well as grant permissions to other users. Among the options:

A. System Administrator: Incorrect. This role exists in some Oracle systems but is not a Cloud EPM predefined role specific to Planning. It’s too broad and not aligned with EPM terminology.

B. Approvals Administrator: Incorrect. This role manages approval processes (e.g., workflows) but does not include creating/administering applications or granting permissions beyond approvals.

C. Identity Role Administrator: Incorrect. While this role manages identity and access (e.g., assigning roles), it does not allow creating or administering Planning applications or service components.

D. Service Administrator: Correct. The Service Administrator role in Cloud EPM allows users to create and manage Planning applications, configure modules and service components (e.g., forms, rules), and assign permissions to other users via access control.

The Service Administrator role is the highest-level predefined role in Oracle EPM Cloud for Planning, encompassing application management and user permission assignments, making it the correct choice.

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.

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.

In Oracle Planning 2024’s Strategic Modeling module, balancing a model with a deficit involves adjusting funding options to ensure cash flow or balance sheet equilibrium. When there’s a deficit (e.g., insufficient cash), you can either increase inflows or decrease outflows. The two valid statements are:

A. You can decrease Preferred to balance the model: Incorrect. "Preferred" typically refers to preferred stock (an equity component), but decreasing it (e.g., reducing preferred equity) would not directly increase available funds to cover a deficit—it might even worsen it by reducing capital.

B. You can increase Debt or Equity to balance the model: Correct. Increasing Debt (e.g., issuing loans) or Equity (e.g., issuing stock) provides additional funds to cover a deficit, a common strategy in Strategic Modeling to balance cash needs.

C. You can decrease Dividends or Assets to balance the model: Correct. Decreasing Dividends reduces cash outflows, retaining more funds, while decreasing Assets (e.g., selling assets) generates cash inflows, both helping to balance the model.

D. You can increase Contra-Equity to balance the model: Incorrect. Contra-Equity (e.g., treasury stock) reduces total equity when increased (e.g., buying back shares), which decreases available funds, not helping to balance a deficit.

The Oracle documentation highlights that increasing Debt/Equity or decreasing Dividends/Assets are standard funding options in Strategic Modeling to address deficits, making B and C the correct statements.

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.

In Oracle Planning 2024 Implementation, Forms 2.0 represents an enhanced version of the form design and functionality framework compared to Forms 1.0. To develop forecasts using Forms 2.0, existing forms must be transitioned from the older version to the newer one, as they are not automatically compatible or universally enabled.

D. Migrate the forms you want to work with in Forms 2.0 from Forms 1.0 to Forms 2.0: This is the correct statement. Oracle provides a migration process to convert Forms 1.0 forms to Forms 2.0, enabling users to leverage the advanced features of Forms 2.0 (e.g., improved navigation, dynamic rows/columns, and enhanced usability). This migration is selective, meaning only the forms you choose to use with Forms 2.0 need to be migrated, and it is not a one-time global setup.

A. Set up Forms 2.0 in your environment one time and it will work with all your applications: Forms 2.0 is not a one-time environment-wide setup. It requires specific forms to be migrated or designed for Forms 2.0 compatibility, and not all applications automatically adopt it.

B. Switch between Forms 1.0 and Forms 2.0 by selecting the Forms Version in Application Settings: There is no such toggle in Application Settings to switch between Forms 1.0 and Forms 2.0. The transition to Forms 2.0 involves migration rather than a simple version switch.

C. Redesign forms 1.0 forms so that they are set up to work with Forms 2.0: While redesigning is an option for creating new Forms 2.0-compatible forms, the standard process for existing forms is migration, not a complete redesign from scratch. Migration preserves the form structure while adapting it to Forms 2.0.

The migration process ensures that users can take advantage of Forms 2.0’s capabilities while maintaining continuity with existing form designs, aligning with Oracle’s recommended approach.

References

Oracle Enterprise Performance Management Cloud Documentation: "Working with Forms – Forms 2.0" (docs.oracle.com, updated 2024). States that "to use Forms 2.0, migrate existing Forms 1.0 forms to Forms 2.0 using the provided migration tools."

Oracle Planning 2024 Implementation Study Guide: Confirms that migrating Forms 1.0 to Forms 2.0 is the true setup process for leveraging Forms 2.0 in forecasting.

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.

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.

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.

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.

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.

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.

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.

In the Oracle Planning 2024 Workforce module, the Synchronize Definitions Mass Update form is the tool provided to update employee properties, job properties, or salary-related information in bulk. This form allows administrators to modify and synchronize metadata definitions across multiple employees or jobs efficiently, ensuring consistency in workforce planning data.

D. Synchronize Definitions: This form enables updates to employee properties (e.g., status, department), job properties (e.g., job code, title), and salary-related information (e.g., salary basis, grade). It is designed to handle mass updates to metadata and ensure that changes are reflected across the Workforce model.

A. Synchronize Defaults: This option is related to applying default assumptions or settings to data, not specifically for updating employee, job, or salary properties.

B. Process Updated Data: This form focuses on processing data changes (e.g., recalculating costs after data entry), not on updating properties or definitions.

C. Process Data and Synchronize Defaults: This is a combined action that processes data and applies defaults, but it does not specifically target updates to employee properties, job properties, or salary information.

The Synchronize Definitions form stands out as the correct choice because it directly addresses bulk updates to workforce metadata, aligning with the question’s focus on properties and salary-related information.

References

Oracle Enterprise Performance Management Cloud Documentation: "Managing Workforce – Mass Update Forms" (docs.oracle.com, updated 2024). Describes the "Synchronize Definitions" form as the tool for updating "employee properties, job properties, and salary-related information."

Oracle Planning 2024 Implementation Study Guide: Confirms that "Synchronize Definitions" is the Mass Update form for modifying workforce metadata.

After enabling and configuring the Financials module in Oracle Planning 2024, post-configuration tasks are recommended to optimize its functionality and integration. The most relevant task among the options is:

A. Plan headcount and detailed employee compensation by employee, job code, or both: Incorrect. This is a Workforce module task, not a post-configuration task for Financials, which focuses on revenue, expenses, and financial statements, not employee-level planning.

B. Specify the days in Period and to modify account signage for alternate reporting methods: Incorrect. While period setup occurs during initial configuration (e.g., Planning and Forecast Preparation), modifying account signage or days in periods is not a recommended post-configuration task—it’s either part of initial setup or an ad-hoc adjustment.

C. Map and rename custom dimensions in Financials that will be used to integrate with other modules: Correct. Post-configuration, mapping and renaming custom dimensions (e.g., Department, Product) ensures seamless integration with other modules like Workforce or Projects. This task aligns dimensions across the application, a common best practice after enabling Financials.

D. Disable features that you do not plan to use: Incorrect. Disabling features is not a typical post-configuration task; features are enabled/disabled during initial configuration via the Configure card, not as a follow-up step.

The Oracle documentation highlights mapping custom dimensions as a recommended post-configuration task to facilitate data integration and reporting, making C the correct answer.