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Oracle 1z0-1080-24 Exam Syllabus Topics:

Topic	Details
Topic 1	Manage Forms, Dashboards, and Navigation Flows: This section of the exam measures the skills of dashboard designers and covers designing forms, dashboards, and validation rules. It also includes creating and managing navigation flows to streamline user experience within Planning applications.
Topic 2	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 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	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.
Topic 6	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.

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Oracle Planning 2024 Implementation Professional Sample Questions (Q34-Q39):

NEW QUESTION # 34
You want to import data into your application. You import data from a file and want to save the import operation as a job. Which two statements are true about import data jobs?

A. Include the path for the data file stored on the server.
B. Select the option to clear data before import.
C. Upload your data file to the Inbox before running the Import Data job.
D. Reference a data file stored locally when creating the Import Data job.

Answer: B,C

Explanation:
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).

NEW QUESTION # 35
Which three types of revenue and expense assumptions drive data calculations in Projects?

A. Working days and hours
B. Standard rates
C. Discount rates
D. Program mappings
E. Project rates
F. Plan start year

Answer: A,B,E

Explanation:
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.
References:
* Oracle Planning 2024 Implementation Study Guide: "Configuring Projects Assumptions" (docs.oracle.
com, Published 2024-10-10).
* Oracle EPM Cloud Documentation: "Revenue and Expense Planning in Projects" (docs.oracle.com, Published 2023-11-25, updated for 2024).

NEW QUESTION # 36
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 dynamically calculate data and perform validation checks in tile charts and infolets
C. Pure Groovy rules that can perform data validations and cancel the operation if the data entered violates company policies
D. 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

Answer: C,D

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 # 37
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. Insert charts in the report header to provide a quick visual summary of data.
B. Insert a report object into the report if you are in Modify mode.
C. Include a chart in your report without displaying the underlying data grid.
D. Control the way a report object is printed on the page relative to other report objects.

Answer: C,D

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 # 38
Which three statements are true about importing metadata from a flat file into Planning?

A. 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.
B. You can import data forms, dashboards, and infolets by loading a local import file or an import file from the Inbox server.
C. You can rename or delete members of attribute dimensions during a metadata import.
D. You can use the import file functionality to import more metadata or to perform incremental updates from the source system.
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,D,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 # 39
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Oracle Planning 2024 Implementation Professional Sample Questions (Q34-Q39):

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