Oracle 1Z0-1080-24 Exam Dumps

In Oracle Planning 2024, data maps with Smart Push or manual execution can push various types of data between cubes within the same application or across applications. However, not all items can be transferred. The item that cannot be pushed is:

A . Comments: Incorrect. Comments (cell-level annotations) can be pushed between cubes using data maps, provided the mappings include the necessary dimensions.

B . Attachments: Incorrect. Attachments linked to data cells can be transferred via data maps, as long as the target cube supports them and the mapping is configured correctly.

C . Data change history: Correct. Data change history (audit trails tracking who changed what and when) is not transferable via data maps. It is metadata tied to the source cube's audit log, not a pushable data element.

D . Supporting detail: Incorrect. Supporting detail (breakdowns of aggregated values) can be pushed between cubes if the target cube is configured to accept it and the mapping includes it.

The Oracle documentation specifies that data change history is excluded from data map transfers, as it's a system-maintained log, not a user-editable or movable data type, making C the correct answer.

Oracle Planning 2024 Implementation Study Guide: 'Data Maps and Pushable Items' (docs.oracle.com, Published 2024-10-05).

Oracle EPM Cloud Documentation: 'Smart Push Capabilities' (docs.oracle.com, Published 2023-12-15, updated for 2024).

In Oracle Planning 2024's Machine Learning capabilities, particularly with the 'Bring Your Own ML' feature, predictions can be defined based on the type of analysis required. To predict revenue using multiple input variables such as price, promotions, industry market size, and climate, the appropriate prediction type is:

A . Dimension Prediction: Incorrect. This type is not a standard term in Oracle's ML framework for Planning; it suggests predicting across dimensions, which isn't specific to multi-variable revenue prediction.

B . Source Prediction: Incorrect. This is not a defined prediction type in Oracle Planning's ML documentation; it might imply source data analysis, but it's not applicable here.

C . Forecast Prediction: Incorrect. While forecasting involves predicting future values, ''Forecast Prediction'' is not a specific ML type in Oracle, and it doesn't emphasize the use of multiple variables.

D . Multivariate Prediction: Correct. Multivariate prediction involves using multiple input variables (e.g., price, promotions, market size, climate) to predict an outcome (e.g., revenue). Oracle's ML integration supports importing PMML models that handle multivariate analysis, aligning with this scenario.

The Oracle documentation confirms that Multivariate Prediction is the type suited for complex predictions with several input variables, making D the correct answer.

Oracle Planning 2024 Implementation Study Guide: 'Machine Learning Prediction Types' (docs.oracle.com, Published 2024-10-15).

Oracle EPM Cloud Documentation: 'Bring Your Own ML: Multivariate Models' (docs.oracle.com, Published 2023-11-20, updated for 2024).

To set up weekly planning for 18 continuous months in Oracle Planning 2024's Financials module, specific options must be selected when initially enabling features via the Configure card. The three required options are:

A . Time Frame Granularity: Incorrect. This is not a specific option in the Enable Features page; granularity (e.g., weeks) is controlled by Weekly Planning, not a separate setting.

B . Rolling Forecast: Correct. Enabling Rolling Forecast allows planning over a continuous 18-month horizon, dynamically updating as time progresses, which aligns with the requirement for ongoing weekly planning.

C . Weeks to Months Mapping: Correct. This option defines how weekly data rolls up into monthly totals, essential for reporting and analysis over the 18-month period in a weekly planning setup.

D . Weekly Planning: Correct. Enabling Weekly Planning sets the periodicity to weeks instead of months, allowing budgeting and forecasting at a weekly level for the 18 months.

E . Custom Periods: Incorrect. Custom Periods allow defining non-standard time periods, but they are not required for weekly planning over 18 months---Weekly Planning and standard calendar setups suffice.

The Oracle documentation confirms that Rolling Forecast, Weeks to Months Mapping, and Weekly Planning are the key features to enable for weekly planning over an extended horizon like 18 months, making B, C, and D the correct answers.

Oracle Planning 2024 Implementation Study Guide: 'Enabling Weekly Planning in Financials' (docs.oracle.com, Published 2024-09-10).

Oracle EPM Cloud Documentation: 'Configuring Rolling Forecasts and Weekly Planning' (docs.oracle.com, Published 2023-11-20, updated for 2024).

Strategic Modeling in Oracle Planning 2024 is a module designed to enable rapid modeling and evaluation of financial scenarios, such as mergers, acquisitions, or long-term strategic plans. It provides a flexible framework for simulating 'what-if' scenarios and includes out-of-the-box treasury capabilities, such as cash flow forecasting, debt scheduling, and interest rate calculations, which are critical for strategic financial planning.

A . It is used to model the flow of data by defining strategic rules for sharing data between modules: Incorrect. This describes data integration (e.g., via data maps), not Strategic Modeling, which focuses on scenario analysis.

B . It is used to develop driver-based strategic plans and generate core financial statements: Incorrect. While it supports driver-based planning, generating core financial statements is more aligned with the Financials module, not Strategic Modeling's primary focus.

C . It is used to strategically manage and analyze finances at any business level with built-in dashboards: Incorrect. This is too broad and aligns more with the overall Planning application, not specifically Strategic Modeling.

D . It is used to quickly model and evaluate financial scenarios, and offers out-of-the-box treasury capabilities: Correct. This matches the module's purpose of rapid scenario modeling and its treasury-related features.

The Oracle documentation highlights Strategic Modeling's role in scenario analysis and its treasury tools, making D the accurate description.

Oracle Planning 2024 Implementation Study Guide: 'Overview of Strategic Modeling' (docs.oracle.com, Published 2024-09-25).

Oracle EPM Cloud Documentation: 'Strategic Modeling Features' (docs.oracle.com, Published 2023-10-25, updated for 2024).

To budget for future headcount and related personnel expenses (e.g., salary, benefits, taxes) in Oracle Planning 2024, the Workforce module must be enabled and configured. This module is specifically designed for detailed employee planning, including:

A . Financials: Incorrect. Financials focuses on revenue, expense, and financial statement planning at an aggregated level, not detailed headcount or personnel expenses like benefits and taxes.

B . Strategic Modeling: Incorrect. Strategic Modeling is for high-level scenario analysis (e.g., mergers, long-term strategies), not granular headcount budgeting.

C . Sales Planning: Incorrect. Sales Planning (if available as a custom module) targets sales forecasts and quotas, not employee-related expenses.

D . Workforce: Correct. Workforce enables budgeting for headcount (e.g., hiring plans) and calculates associated costs---salaries, benefits (e.g., health insurance), and taxes (e.g., payroll taxes)---with predefined and customizable options.

The Oracle documentation confirms that Workforce is the module tailored for headcount and personnel expense budgeting, making D the correct answer.

Oracle Planning 2024 Implementation Study Guide: 'Overview of Workforce Module' (docs.oracle.com, Published 2024-10-05).

Oracle EPM Cloud Documentation: 'Planning Personnel Expenses' (docs.oracle.com, Published 2023-11-25, updated for 2024).