Free Oracle 1z0-1080-24 Practice Exam with Questions & Answers

In Oracle Planning 2024, the approval process uses an approval unit hierarchy where parent and child relationships influence the review workflow. The two ways these relationships affect the process are:

A. When the status of all children changes to one status (for example, Signed Off), the parent status changes to the same status: Correct. In a bottom-up approval process, when all child approval units reach a uniform status (e.g., Signed Off, Approved), the parent’s status automatically updates to match, reflecting the completion of the children’s review.

B. When you approve a parent, its children are Signed Off: Incorrect. Approving a parent does not automatically sign off its children; the workflow typically moves bottom-up, requiring children to be approved first.

C. After all children are promoted to the same owner, the parent status is changed to Signed Off: Incorrect. Promotion to an owner changes ownership, not necessarily status (e.g., Signed Off). Status changes are driven by approval actions, not just ownership.

D. After all children are promoted to the same owner, the parent is promoted to the owner: Correct. In the approval hierarchy, once all child units are promoted to a new owner (e.g., for review), the parent unit is also promoted to that owner, ensuring the hierarchy progresses together.

The Oracle documentation confirms that A (status aggregation) and D (owner promotion) are key behaviors of parent/child relationships in the approval process, making them the correct answers.

References:

Oracle Planning 2024 Implementation Study Guide: "Approval Unit Hierarchies" (docs.oracle.com, Published 2024-09-25).

Oracle EPM Cloud Documentation: "Managing Approvals" (docs.oracle.com, Published 2023-12-20, updated for 2024).

In Oracle Planning 2024, Smart Push is a feature within data maps that enables efficient, real-time data movement between Oracle EPM Cloud applications or instances. It copies data dynamically when triggered (e.g., via forms or rules). The three supported ways to create data maps with Smart Push are:

A. From Planning to Tax Reporting Cloud: Incorrect. Smart Push does not support direct data movement from Planning to Tax Reporting Cloud, as these modules lack a predefined integration path for this feature.

B. From Tax Reporting Cloud to Planning: Incorrect. Similarly, Smart Push does not facilitate data movement from Tax Reporting Cloud to Planning.

C. From Financial Consolidation and Close to Planning: Correct. Smart Push supports moving consolidated data (e.g., actuals) from Financial Consolidation and Close (FCC) to Planning for planning purposes.

D. From Planning to Financial Consolidation and Close: Correct. Smart Push allows pushing planned data from Planning to FCC for consolidation or reporting.

E. Between two Planning instances: Correct. Smart Push can move data between two Planning instances (e.g., test and production environments) to synchronize data.

These three options—C, D, and E—are explicitly supported by Smart Push in Oracle EPM Cloud, as per the documentation, enabling seamless data integration across these applications.

References:

Oracle Planning 2024 Implementation Study Guide: "Using Smart Push in Data Maps" (docs.oracle.com, Published 2024-09-30).

Oracle EPM Cloud Documentation: "Data Integration with Smart Push" (docs.oracle.com, Published 2023-12-20, updated for 2024).

In Oracle Planning 2024, configuring Insights with Auto Predict allows users to analyze past and predicted data to uncover patterns and insights. Oracle provides specific guidelines to ensure effective implementation:

A. For future data, create a new insight by leveraging templates that include insight definitions: Incorrect. While templates can be used to set up Insights, this is not a specific Oracle guideline for implementing Auto Predict. Auto Predict relies on historical data and predictive algorithms, not predefined insight templates for future data.

B. For historical data, there should be at least twice the amount of historical data as the number of prediction periods: Correct. Oracle recommends having sufficient historical data—specifically, at least twice the number of periods you intend to predict—to ensure the accuracy of Auto Predict’s machine learning algorithms. For example, predicting 12 months requires at least 24 months of historical data.

C. For historical data, create the Insights job using the lowest level of Period members possible so that the greatest amount of historical data can be used: Incorrect. While granularity matters, Oracle does not mandate using the lowest level of Period members (e.g., days instead of months) as a guideline. The focus is on the quantity of historical data, not necessarily the lowest level of aggregation.

D. For future data, first run predictions in a test environment to ensure there is no impact on production data: Correct. Oracle advises testing Auto Predict in a non-production environment to validate results and avoid unintended impacts on live data, aligning with best practices for predictive analytics deployment.

The two guidelines—B and D—are explicitly outlined in Oracle’s documentation for Insights and Auto Predict to ensure reliable predictions and safe implementation.

References:

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

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.

References:

Oracle Planning 2024 Implementation Study Guide: "Approval Units Overview" (docs.oracle.com, Published 2024-09-15).

Oracle EPM Cloud Documentation: "Configuring Approval Units" (docs.oracle.com, Published 2023-12-10, 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).

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.

References:

Oracle Planning 2024 Implementation Study Guide: "Predefined Roles in Cloud EPM" (docs.oracle.com, Published 2024-08-25).

Oracle EPM Cloud Documentation: "Managing Users and Roles" (docs.oracle.com, Published 2023-10-30, updated for 2024).

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 withAbut is less precise. Validation is tied to cell-level and page-level access rather than a broad "users with access to this form" criterion, makingAthe 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.

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’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 Implementation, business rules are essential for automating calculations, data manipulations, and complex logic within the application. The platform provides multiple features to assist users in creating these rules efficiently, as outlined in the Oracle documentation. The two features that directly help users create business rules are:

A. Add calculations by using preformed system templates, such as clearing data, copying data, aggregating data, and so on: Oracle Planning offers predefined system templates that simplify rule creation. These templates enable users to quickly implement common operations like clearing data, copying data between dimensions, or aggregating data without writing complex code from scratch. This feature is particularly useful for users who may not have advanced scripting skills, as it provides a guided, template-driven approach to rule design.

C. Design sophisticated rules that solve use cases that normal business rules cannot solve by using Groovy business rules: Groovy business rules extend the capabilities of standard business rules by allowing users to write custom logic using the Groovy scripting language. This feature is designed for advanced use cases, such as dynamic calculations based on runtime conditions or complex data manipulations that go beyond the scope of traditional rules. It empowers users to address specialized business requirements efficiently.

B. Add calculations in calculation script syntax by switching to Script Mode: While Script Mode exists and allows users to write calculations using a script-based syntax (e.g., Essbase calc scripts), it is not highlighted as a primary "feature" for creating business rules in the Oracle Planning 2024 context. It is more of a mode of operation rather than a distinct feature assisting rule creation.

D. Rules are represented graphically in a flow chart into which you can drag and drop components to design the rule: Although graphical rule design was a feature in older Hyperion Planning versions (e.g., Calculation Manager’s graphical interface), Oracle Planning 2024 documentation does not emphasize a drag-and-drop flowchart interface as a current primary method for rule creation. Instead, it focuses on templates and Groovy scripting.

References

Oracle Enterprise Performance Management Cloud Documentation: "Working with Business Rules" (docs.oracle.com, updated 2024). This section details the use of "system templates for calculations" and "Groovy business rules" as key features for rule creation.

Oracle Planning 2024 Implementation Study Guide: Confirms that predefined templates (e.g., for clearing or aggregating data) and Groovy rules are core features to assist users in designing business rules.