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Oracle 1z0-1080-24 Practice Test - Free Updated Demo (2025)

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Oracle 1z0-1080-24 Exam Syllabus Topics:

Topic
Details

Topic 1

Configure Intelligent Performance Management: This section of the exam measures the skills of machine learning specialists and focuses on configuring IPM components. It includes setting up machine learning models for predictive analytics within Planning applications.

Topic 2

Introduction to Planning Modules: This section of the exam measures the skills of module planners and introduces Planning modules. It includes integrating modules, leveraging best practices for module planning, and configuring Financials, Workforce, Capital, and Projects.

Topic 3

Introduction to Strategic Modelling: This section of the exam measures the skills of strategic modelers and covers strategic modeling concepts. It includes setting up models, running simulations, and understanding their impact on decision-making processes.

Topic 4

Set Up Planning Security: This section of the exam measures the skills of security administrators and focuses on provisioning users and groups. It includes assigning access permissions to artifacts and cells in Planning to ensure secure access to critical information.

Topic 5

Manage Rules: This section of the exam measures the skills of business rule developers and focuses on designing business rules and rulesets. It explains the benefits of Groovy Rules in enhancing performance and flexibility within Planning applications.

Topic 6

Manage Approvals:This section of the exam measures the skills of approval process managers and covers setting up approval workflows in Planning. It explains how to configure approval processes to streamline decision-making within organizations.

Topic 7

Report on Planning Data: This section of the exam measures the skills of reporting analysts and covers creating reports on Planning data. It includes reporting on EPM data to provide insights into organizational performance.

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Oracle Planning 2024 Implementation Professional Sample Questions (Q23-Q28):

NEW QUESTION # 23
You want to design a report with Reports for Oracle Enterprise Performance Management Cloud. You have an error on the report indicated by a red bar above the report header.
Which two statements describe possible causes of report object errors in Report Designer?

A. The data source connection for the report is no longer valid.
B. The report object overlaps with another report object.
C. The report name is blank when you use a text function to display the name.
D. The size of the inserted graphic is too large.

Answer: A,B

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

NEW QUESTION # 24
Which three statements are true about importing metadata from a flat file into Planning?

A. You can use the import file functionality to import more metadata or to perform incremental updates from the source system.
B. 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.
C. You can rename or delete members of attribute dimensions during a metadata import.
D. You can import data forms, dashboards, and infolets by loading a local import file or an import file from the Inbox server.
E. 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.

Answer: A,B,E

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

NEW QUESTION # 25
Which two features can help users create business rules?

A. Add calculations in calculation script syntax by switching to Script Mode.
B. Design sophisticated rules that solve use cases that normal business rules cannot solve by using Groovy business rules.
C. Rules are represented graphically in a flow chart into which you can drag and drop components to design the rule.
D. Add calculations by using preformed system templates, such as clearing data, copying data, aggregating data, and so on.

Answer: B,D

Explanation:
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.

NEW QUESTION # 26
You are preparing to design a report in Cloud EPM Planning using Report Designer. Which two statements are true about data sources in reports?

A. Include a chart in your report without displaying the underlying data grid.
B. Insert charts in the report header to provide a quick visual summary of data.
C. Control the way a report object is printed on the page relative to other report objects.
D. Insert a report object into the report if you are in Modify mode.

Answer: A,C

Explanation:
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).

NEW QUESTION # 27
Which two types of Groovy Rules are supported by Oracle?

A. Rules that overwrite member formulas that combine operators and calculation functions, and perform calculations on members in Dimension Editor
B. Rules that can dynamically generate calculation scripts at run time based on contexts such as runtime prompts, the POV, the current grid, and so on
C. Pure Groovy rules that can perform data validations and cancel the operation if the data entered violates company policies
D. Rules that dynamically calculate data and perform validation checks in tile charts and infolets

Answer: B,C

Explanation:
In Oracle Planning 2024, Groovy Rules enhance business logic flexibility. Oracle supports two main types of Groovy Rules:
* A. Rules that overwrite member formulas that combine operators and calculation functions, and perform calculations on members in Dimension Editor: Incorrect. Groovy Rules do not overwrite member formulas in the Dimension Editor; they operate at runtime and are defined in the Rules editor, not as static dimension overrides.
* B. Rules that can dynamically generate calculation scripts at run time based on contexts such as runtime prompts, the POV, the current grid, and so on: Correct. Oracle supports Groovy Rules that generate dynamic calc scripts based on runtime contexts (e.g., POV, grid data, prompts), enabling adaptive calculations.
* C. Pure Groovy rules that can perform data validations and cancel the operation if the data entered violates company policies: Correct. Pure Groovy Rules can validate data (e.g., checking ranges or policies) and cancel operations (e.g., via exceptions), a key feature for enforcing business rules.
* D. Rules that dynamically calculate data and perform validation checks in tile charts and infolets:
Incorrect. Groovy Rules operate on cubes and forms, not directly within tile charts or infolets, which are UI elements driven by underlying data, not rule execution points.
The Oracle documentation confirms B (dynamic script generation) and C (data validation) as supported Groovy Rule types, making them the correct answers.
References:
* Oracle Planning 2024 Implementation Study Guide: "Groovy Rules in Planning" (docs.oracle.com, Published 2024-10-15).
* Oracle EPM Cloud Documentation: "Supported Groovy Rule Types" (docs.oracle.com, Published 2023-
11-20, updated for 2024).

NEW QUESTION # 28
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