Oracle 1z0-1080-24 Dumps

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).

In Oracle Planning 2024, cell-level security restricts access to specific data intersections using anchor and nonanchor dimensions. The two true statements are:

A. Anchor dimensions are always required in the cube that is used in the cell-level security definition: Correct. Anchor dimensions (e.g., Entity, Scenario) are mandatory in the security definition to specify the primary scope of access control within the cube.

B. Anchor dimensions are never required in the cube that is used in the cell-level security definition: Incorrect. Anchor dimensions are always required, contradicting this statement.

C. By default, nonanchor dimensions are not required: Correct. Nonanchor dimensions (e.g., Account, Period) are optional by default in cell-level security definitions, allowing flexibility in granularity unless explicitly included.

D. By default, nonanchor dimensions are required. You can change this setting later: Incorrect. Nonanchor dimensions are not required by default, and there’s no setting to make them mandatory—it’s an optional inclusion.

The Oracle documentation specifies that A (anchor necessity) and C (nonanchor optional) align with cell-level security behavior, making them the correct answers.

References:

Oracle Planning 2024 Implementation Study Guide: "Cell-Level Security Configuration" (docs.oracle.com, Published 2024-09-30).

Oracle EPM Cloud Documentation: "Anchor and Nonanchor Dimensions" (docs.oracle.com, Published 2023-12-05, updated for 2024).

In Oracle Planning 2024’s module-based Planning, including the Financials module, the time frame (e.g., years) and granularity (e.g., months, weeks) for plans and forecasts are configured to define the planning horizon and periodicity. For Financials, this configuration occurs in:

A. Planning and Forecast Preparation: Correct. This component is where administrators define the time frame (e.g., start year, number of years) and granularity (e.g., monthly, weekly) for plans and forecasts. It’s a mandatory configuration task executed via the Configure card, allowing module-specific settings.

B. Manage Time Periods: Incorrect. This is not a standard component in Oracle Planning for setting time frame and granularity; it’s a term more aligned with other Oracle systems (e.g., Essbase) or custom period management, not Financials configuration.

C. Seasonality Management: Incorrect. Seasonality Management deals with distributing data across periods based on patterns (e.g., seasonal trends), not setting the overall time frame or granularity.

D. Valid Intersections: Incorrect. Valid Intersections define allowable data combinations across dimensions, not the time frame or granularity of plans.

The Oracle documentation specifies that Planning and Forecast Preparation is the component where time-related settings are established for Financials, making A the correct answer.

References:

Oracle Planning 2024 Implementation Study Guide: "Configuring Time Frame in Financials" (docs.oracle.com, Published 2024-10-10).

Oracle EPM Cloud Documentation: "Planning and Forecast Preparation" (docs.oracle.com, Published 2023-11-15, updated for 2024).