Oracle 1z0-1080-25 Oracle Planning 2025 Implementation Professional Exam Practice Test

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.

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, a Pipeline is a feature that allows administrators to define and automate a sequence of jobs (e.g., data imports, metadata updates, calculations) as a single, coordinated process. Pipelines streamline the management of metadata and data by executing multiple tasks in a specified order, ensuring dependencies are met, and providing a repeatable workflow for maintaining the Planning application.

A. Develop pipelines to guide you through the Planning process: Incorrect. Pipelines are not a planning guide; they are an automation tool for executing jobs, not a process framework.

B. Use pipelines as a visible, automated, and repeatable system of record for running an application: Incorrect. While pipelines are automated and repeatable, they are not a "system of record" for running the entire application—they focus on specific job sequences.

C. Use pipelines to coordinate the running of a series of jobs as a single process: Correct. This aligns with the Oracle definition of pipelines, which orchestrate multiple jobs (e.g., import data, refresh database) into one executable process.

D. Quickly drill into data slices that are important to you with pipelines: Incorrect. Pipelines are not designed for data analysis or drilling into data slices; they are for job automation.

The Oracle documentation emphasizes that pipelines are used to manage and execute a series of jobs efficiently, making C the true statement.

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.

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.

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 Implementation, infolets are a feature designed to provide users with quick, visual insights into critical business data. They are not full dashboards, task management tools, or process control mechanisms, but rather compact, high-level representations of aggregated information.

C. Infolets help you quickly analyze data and understand key business questions by presenting a visual overview of high-level, aggregated information: This statement accurately describes infolets. They are visual tiles or widgets that display summarized data (e.g., KPIs, trends) to help users grasp key business insights at a glance. Infolets are typically found on the home page or navigation clusters and are customizable to highlight specific metrics relevant to the user’s role or application.

A. Infolets are predefined dashboards that give you insight into the overall project financials and expense and revenue metrics: While infolets provide insights, they are not full "predefined dashboards." Dashboards are more comprehensive, whereas infolets offer concise, targeted views of data.

B. Infolets help you organize, track, and prioritize your workload: This describes task management or navigation features (e.g., task lists), not infolets, which focus on data visualization rather than workload management.

D. Infolets give business process designers control over how various roles or groups interact with a business process: Infolets are not about process design or role interaction; they are about displaying data, not controlling processes.

E. Infolets are a form type that provides flexible row management where dimension and member row cells and all data cells are unprotected: Infolets are not a form type; they are separate from forms and focus on visualization, not data entry or row management.

References

Oracle Enterprise Performance Management Cloud Documentation: "Using Infolets" (docs.oracle.com, updated 2024). Describes infolets as "visual overviews of high-level, aggregated information to quickly analyze data and answer business questions."

Oracle Planning 2024 Implementation Study Guide: Defines infolets as tools for presenting summarized data visually for quick analysis.

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.

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.

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.

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.

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.

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 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.