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Oracle 1z0-1080-24 Prüfungsplan:
Thema
Einzelheiten
Thema 1
- 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.
Thema 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.
Thema 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.
Thema 4
- 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.
Thema 5
- Manage Metadata and Data: This section of the exam measures the skills of data integration specialists and covers metadata and data management in Planning. It includes identifying metadata and data load options, importing and exporting metadata and data, setting up and running data maps, creating data integrations, and mapping data across applications.
Thema 6
- 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.
Thema 7
- 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.
Thema 8
- 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.
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1z0-1080-24 Prüfungsressourcen: Oracle Planning 2024 Implementation Professional & 1z0-1080-24 Reale Fragen
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Oracle Planning 2024 Implementation Professional 1z0-1080-24 Prüfungsfragen mit Lösungen (Q37-Q42):
37. Frage
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. EPM Administrators create data maps and Groovy rules to move and process data.
- C. Data Scientists build and train the ML model in a data science tool and save it as a PMML file.
- D. EPM Administrators create a data model and push data to it to generate a PMML file.
Antwort: C
Begründung:
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).
38. Frage
Which statement describes infolets?
- A. Infolets give business process designers control over how various roles or groups interact with a business process.
- B. Infolets are a form type that provides flexible row management where dimension and member row cells and all data cells are unprotected.
- C. Infolets are predefined dashboards that give you insight into the overall project financials and expense and revenue metrics.
- D. Infolets help you quickly analyze data and understand key business questions by presenting a visual overview of high-level, aggregated information.
- E. Infolets help you organize, track, and prioritize your workload.
Antwort: D
Begründung:
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.
39. Frage
Your administrator creates a Pipeline definition to manage metadata, and data for your Planning application.
Which statement about pipelines is true?
- A. Develop pipelines to guide you through the Planning process.
- B. Use pipelines as a visible, automated, and repeatable system of record for running an application.
- C. Quickly drill into data slices that are important to you with pipelines.
- D. Use pipelines to coordinate the running of a series of jobs as a single process.
Antwort: D
Begründung:
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.
References:
* Oracle Planning 2024 Implementation Study Guide: "Working with Pipelines" (docs.oracle.com, Published 2024-10-05).
* Oracle EPM Cloud Documentation: "Automating Tasks with Pipelines" (docs.oracle.com, Published
2023-11-30, updated for 2024).
40. Frage
Which three types of revenue and expense assumptions drive data calculations in Projects?
- A. Project rates
- B. Discount rates
- C. Program mappings
- D. Plan start year
- E. Standard rates
- F. Working days and hours
Antwort: A,E,F
Begründung:
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).
41. Frage
In which three ways can you create data maps that copy data using Smart Push?
- A. From Planning to Tax Reporting Cloud
- B. From Financial Consolidation and Close to Planning
- C. From Planning to Financial Consolidation and Close
- D. From Tax Reporting Cloud to Planning
- E. Between two Planning instances
Antwort: B,C,E
Begründung:
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).
42. Frage
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