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Oracle 1Z0-1080-26 Exam Syllabus Topics:

Section	Objectives
Topic 1: Oracle Enterprise Performance Management (EPM) Cloud Overview	- EPM architecture and components 1. Planning Cloud services overview 2. Data flow and integration concepts - Security and user management 1. Roles and access control 2. Application security configuration
Topic 2: Planning Application Configuration	- Application design 1. Metadata structure and dimensions 2. Planning models setup - Business rules and calculations 1. Rule creation and validation 2. Calculation logic for planning scenarios
Topic 3: AI and Predictive Planning Features	- Predictive forecasting 1. Trend-based planning models 2. Forecast generation and adjustment - AI-assisted planning insights 1. Driver-based planning concepts 2. Anomaly detection and recommendations
Topic 4: Reporting and Analysis	- Financial reporting 1. Report creation and customization 2. Dashboard configuration - Analytics 1. Performance monitoring 2. Variance analysis
Topic 5: Data Integration and Management	- Data loading methods 1. Data imports and exports 2. Source system integration - Data validation and transformation 1. Data reconciliation techniques 2. Mapping and transformation rules

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Oracle Planning + AI 2026 Implementation Professional 1Z0-1080-26 Prüfungsfragen mit Lösungen (Q13-Q18):

13. Frage
Which two are primary use cases for an ASO reporting cube?

A. You want to report on Smart Lists.
B. You want to save data for upper-level members.
C. You want to create and execute complex Calculation Manager business rules.
D. You want to report on new Planning data originating from any source, such as a data warehouse.

Antwort: A,B

14. Frage
You want to associate events with a prediction. Which two statements about configuring insights with events are true?

A. When you set up events, they are automatically included in prediction calculations.
B. If you have configured events, they are included by default for the IPM insights job you schedule.
C. You can define an event but choose to not include data from that event in the prediction.
D. For an event that regularly repeats but doesn't occur at exactly the same time each year, you can specify an exact date.

Antwort: B,C

15. Frage
Your administrator set up a Planning job using the integration Pipeline job type. Which statement about using Pipeline is true?

A. Pipelines help you to orchestrate Oracle Enterprise Performance Management Cloud jobs across instance from one location.
B. Pipelines structure provide quick insights into data that guide your decision and actions.
C. Pipelines structure the workflow and formalize authority levels as you prepare budget data.
D. Pipelines help you to organize, track and prioritize your workload.
E. Pipelines give you an overview to key information and let you enter changes and save data.

Antwort: A

16. Frage
You want to analyze past data and predicted data to help you find patterns and insights into data that you might not have found on your own. To accomplish this, you configure Insights with Auto Predict.
Which two are Oracle EPM guidelines for implementing Insights and Auto Predict?

A. For historical data, there should be at least twice the amount of historical data as the number of prediction periods.
B. For future data, first run predictions in a test environment to ensure there is no impact on production 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.
D. For future data, create a new insight by leveraging templates that include insight definitions.

Antwort: A,B

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

17. Frage
Your administrator creates a Pipeline definition to manage metadata, and data for your Planning application. Which statement about pipelines is true?

A. Use pipelines to coordinate the running of a series of jobs as a single 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. Develop pipelines to guide you through the Planning process.

Antwort: A

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.
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).

18. Frage
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