Pass Guaranteed Quiz 1z0-1080-24 - Oracle Planning 2024 Implementation Professional–High-quality Exams

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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	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 3	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 4	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 5	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 6	Maintain Planning: This section of the exam measures the skills of system administrators and focuses on monitoring maintenance tasks for Planning applications. It includes scheduling jobs, managing EPM Automate for automation tasks, backing up data, migrating metadata, cloning environments, and maintaining system updates.
Topic 7	Planning Overview: This section of the exam measures the skills of planning administrators and focuses on understanding the features of Planning applications. It includes setting up Planning and Freeform applications, managing dimensions, and explaining the impact of dimension hierarchies. It also covers configuring valid and invalid intersections and cell-level security.

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Oracle Planning 2024 Implementation Professional Sample Questions (Q33-Q38):

NEW QUESTION # 33
In which two ways do parent/child relationships between approval unit hierarchy members affect the review process?

A. After all children are promoted to the same owner, the parent status is changed to Signed Off.
B. When the status of all children changes to one status (for example. Signed Off) the parent status changes to the same status.
C. When you approve a parent. Its children are Signed Off.
D. After all children are promoted to the same owner, the parent is promoted to the owner.

Answer: B,D

Explanation:
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).

NEW QUESTION # 34
In which three ways can you create data maps that copy data using Smart Push?

A. From Planning to Financial Consolidation and Close
B. Between two Planning instances
C. From Planning to Tax Reporting Cloud
D. From Tax Reporting Cloud to Planning
E. From Financial Consolidation and Close to Planning

Answer: A,B,E

Explanation:
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).

NEW QUESTION # 35
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. Upload your data file to the Inbox before running the Import Data job.
C. Select the option to clear data before import.
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 # 36
Which three types of revenue and expense assumptions drive data calculations in Projects?

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

Answer: A,B,F

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 # 37
Which task must be completed before EPM administrators import a Machine Learning model into Planning?

A. Data Scientists create Groovy rules designed to evaluate historical data and identify patterns.
B. Data Scientists build and train the ML model in a data science tool and save it as a PMML file.
C. EPM Administrators create data maps and Groovy rules to move and process data.
D. EPM Administrators create a data model and push data to it to generate a PMML file.

Answer: B

Explanation:
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.
References:
* Oracle Planning 2024 Implementation Study Guide: "Bring Your Own ML: About Machine Learning Model Import" (docs.oracle.com, Published 2024-09-04).
* Oracle EPM Cloud Documentation: "Importing ML Models" (docs.oracle.com, Published 2022-06-17, updated for 2024).

NEW QUESTION # 38
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PASS GUARANTEED QUIZ 1Z0-1080-24 - ORACLE PLANNING 2024 IMPLEMENTATION PROFESSIONAL–HIGH-QUALITY EXAMS

Pass Guaranteed Quiz 1z0-1080-24 - Oracle Planning 2024 Implementation Professional–High-quality Exams