1z0-1080-25 Practice Exam Questions with Answers Oracle Planning 2025 Implementation Professional Certification

Strategic Modeling in Oracle Planning 2024 is a module designed to enable rapid modeling and evaluation of financial scenarios, such as mergers, acquisitions, or long-term strategic plans. It provides a flexible framework for simulating "what-if" scenarios and includes out-of-the-box treasury capabilities, such as cash flow forecasting, debt scheduling, and interest rate calculations, which are critical for strategic financial planning.

A. It is used to model the flow of data by defining strategic rules for sharing data between modules: Incorrect. This describes data integration (e.g., via data maps), not Strategic Modeling, which focuses on scenario analysis.

B. It is used to develop driver-based strategic plans and generate core financial statements: Incorrect. While it supports driver-based planning, generating core financial statements is more aligned with the Financials module, not Strategic Modeling’s primary focus.

C. It is used to strategically manage and analyze finances at any business level with built-in dashboards: Incorrect. This is too broad and aligns more with the overall Planning application, not specifically Strategic Modeling.

D. It is used to quickly model and evaluate financial scenarios, and offers out-of-the-box treasury capabilities: Correct. This matches the module’s purpose of rapid scenario modeling and its treasury-related features.

The Oracle documentation highlights Strategic Modeling’s role in scenario analysis and its treasury tools, making D the accurate description.

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.

In Oracle Planning 2024’s module-based Planning, including the Financials module, the time frame (e.g., years) and granularity (e.g., months, weeks) for plans and forecasts are configured to define the planning horizon and periodicity. For Financials, this configuration occurs in:

A. Planning and Forecast Preparation: Correct. This component is where administrators define the time frame (e.g., start year, number of years) and granularity (e.g., monthly, weekly) for plans and forecasts. It’s a mandatory configuration task executed via the Configure card, allowing module-specific settings.

B. Manage Time Periods: Incorrect. This is not a standard component in Oracle Planning for setting time frame and granularity; it’s a term more aligned with other Oracle systems (e.g., Essbase) or custom period management, not Financials configuration.

C. Seasonality Management: Incorrect. Seasonality Management deals with distributing data across periods based on patterns (e.g., seasonal trends), not setting the overall time frame or granularity.

D. Valid Intersections: Incorrect. Valid Intersections define allowable data combinations across dimensions, not the time frame or granularity of plans.

The Oracle documentation specifies that Planning and Forecast Preparation is the component where time-related settings are established for Financials, making A the correct answer.

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, integrating detailed Workforce data (such as salary, benefits, and taxes) into Financials involves leveraging out-of-the-box integration features like data maps and Smart Push. To override expense lines in Financials with more detailed values stored in Workforce, the correct approach is to define how Workforce accounts roll up into Financials accounts using the "Financial Statement Integration" data map. This process involves mapping specific Workforce accounts (e.g., payroll taxes, total salary) to corresponding Financials accounts and then synchronizing and pushing the data to update Financials with the detailed values.

Option A is the verified answer because it directly addresses the initial setup required to move detailed Workforce values into Financials by defining the rollup mappings in the Financial Statement Integration data map. After this mapping is configured, administrators can synchronize and push the data to reflect the detailed values in Financials reporting. Option B is incorrect because the Financials Integration Summary form is used to view rolled-up data, not to calculate compensation data for updating underlying Workforce details—this is a Workforce-specific task, not a data movement step. Option C is also incorrect, as there is no "Rollup business rule" explicitly mentioned in the Financials Integration Summary form’s Actions menu for this purpose; instead, rollup occurs via data maps. Option D, while related to Compensation Data synchronization, is a narrower action that does not fully address the broader task of moving detailed Workforce values into Financials expense lines, which requires the Financial Statement Integration data map.

The Oracle Planning 2024 Implementation documentation highlights that Financials integrates with Workforce using predefined data maps, such as Financial Statement Integration, to roll up detailed employee expenses into financial reporting, making Option A the most accurate and complete step for this scenario.

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.

In Oracle Planning 2024’s Strategic Modeling simulations, selecting a probability distribution for scenarios with fixed minimum and maximum values and a known most likely value (e.g., sales estimates, inventory, marketing costs) points to:

A. Beta PERT: Incorrect. Beta PERT uses min, max, and most likely values but requires more data to shape the curve accurately, making it less ideal with limited data.

B. Uniform: Incorrect. Uniform assumes equal probability between min and max, ignoring the most likely value, which doesn’t fit this scenario.

C. Triangular: Correct. The Triangular distribution uses minimum, maximum, and most likely values, making it simple and effective for limited data situations like sales or costs.

D. Normal: Incorrect. Normal requires mean and standard deviation, not just min, max, and most likely, and assumes more data availability.

E. Lognormal: Incorrect. Lognormal is skewed and suited for data with a positive range, requiring more statistical input than provided here.

The Oracle documentation recommends the Triangular distribution for its simplicity and suitability with limited data, making C the correct answer.

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, 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.

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, 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 Implementation’s Workforce module, configuring merit-related settings for employees involves specifying eligibility criteria and timing, such as a hire date cutoff for existing employees to receive merit increases and the month when merit adjustments begin. The Merit Assumptions option is the correct choice for this purpose.

B. Merit Assumptions: This feature allows administrators to define merit-related parameters, including the "hire by" date (the date by which employees must be hired to be eligible for merit) and the "merit start month" (the month when merit increases take effect). It provides a centralized way to set these assumptions, ensuring they are applied consistently across the workforce plan.

A. Workforce Assumptions: This option covers broader workforce settings (e.g., default hire dates, salary assumptions), but it does not specifically address merit eligibility or timing details like hire-by dates or merit start months.

C. Merit Rates: This pertains to defining the percentage or amount of merit increases, not the eligibility dates or start month for merit application.

D. Merit Month: While this might seem relevant, "Merit Month" is not a standalone option in Workforce. It is a setting typically configured within Merit Assumptions, not an independent feature.

The Merit Assumptions option is explicitly designed to handle these merit-specific configurations, making it the most suitable choice.

References

Oracle Enterprise Performance Management Cloud Documentation: "Administering Workforce – Merit Assumptions" (docs.oracle.com, updated 2024). States that "Merit Assumptions allow setting the hire-by date for merit eligibility and the merit start month."

Oracle Planning 2024 Implementation Study Guide: Confirms that Merit Assumptions is used to specify eligibility criteria and timing for merit increases in Workforce.

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.

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 options A. Error log files and B. Migration snapshots are 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.