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| Section | Weight | Objectives |
|---|---|---|
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Understanding Oracle Analytics Cloud | 5% | |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% |
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NEW QUESTION # 41
An analyst wants to highlight sales values above target in green and values below target in red without changing the underlying data. Which feature should be used?
Answer: A
Explanation:
Conditional Formatting is specifically designed to modify the visual representation of data when defined conditions are satisfied while leaving the underlying values unchanged. The analyst can establish rules such as Sales greater than or equal to Target and apply one format, while values below Target receive a different format.
Oracle Analytics supports conditional rules based on measures, attributes, thresholds, percentages, and expressions. Formatting can include font characteristics, cell presentation, images, backgrounds, and visualization-specific properties. Oracle's examples include stoplight-style formatting in which low, medium, and high values receive different visual treatments.
This functionality affects presentation only; it doesn't alter the source Sales values or change the actual calculation. That directly satisfies the requirement.
A Repository Variable stores centrally maintained values and isn't itself a visualization rule. Selection Steps determine which members appear after query aggregation. A Subject Area Filter limits the data returned or made available rather than simply changing its appearance.
Consequently, the appropriate feature for showing above-target values in green and below-target values in red is Conditional Formatting , making A correct.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Conditional Formatting
NEW QUESTION # 42
A report author is working in a task editor and needs to start a new Publisher object without returning to the home page. Which Global Header option should the author use?
Answer: E
Explanation:
The New option in the Global Header is the appropriate choice. Oracle Analytics Publisher provides global navigation controls so that users can initiate creation tasks without first returning to the Home page. From the global header, selecting New exposes the available object types that the user's privileges permit them to create, such as reports and other Publisher artifacts.
Oracle's current Oracle Analytics Cloud Publisher documentation specifically identifies the global-header workflow for report creation: from the Global Header, click New , then select Report . Similar creation workflows use the same New entry point for other supported Publisher content.
The Catalog option is intended for navigating and managing stored catalog objects rather than immediately initiating a new-object workflow. Home returns the author to the main landing page, which contradicts the requirement to remain within the existing workspace. Open is used for accessing existing content rather than creating a new object. Signed In As relates to account and user-session functionality.
Therefore, New is the global action designed to start creation directly from the current task context and avoids unnecessary navigation back through the Home page.
Reference Topic: Oracle Analytics Publisher - Global Header, Catalog Navigation, and Object Creation
NEW QUESTION # 43
A reporting analyst creates a dashboard that includes multiple analyses sharing the same filter criteria. Users complain that updating each analysis separately is difficult. Which design approach improves maintainability?
Answer: A
Explanation:
A shared Dashboard Prompt with Presentation Variables centralizes user input and allows multiple dashboard analyses to reference the same runtime selection. Oracle defines a Presentation Variable as a variable populated through a dashboard column prompt or variable prompt. Each time the user changes the prompt selection, the presentation variable is assigned the selected value or values.
Analyses on the dashboard can then reference the variable in filters, expressions, titles, or other supported locations. This allows a department, fiscal period, region, or comparable filter criterion to be selected once and reused across multiple dashboard components.
The architecture substantially improves maintainability because the dashboard-level interaction is managed centrally rather than requiring a separate prompt or manually maintained filter mechanism for every analysis.
Independent prompts would recreate the exact maintenance problem stated in the scenario. Conditional Formatting changes visual presentation rather than providing shared filtering, while exporting analyses creates static outputs and eliminates the interactive dashboard experience.
Therefore, the correct design is A. Use a shared Dashboard Prompt with Presentation Variables .
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Prompts and Presentation Variables
NEW QUESTION # 44
A dashboard author wants users to see a list of briefing books on a dashboard page. How should the author configure the dashboard page?
Answer: A
Explanation:
Oracle provides a specific Dashboard Builder procedure for displaying a list of briefing books . The briefing books should be stored in a catalog folder. The dashboard author then drags a Folder object from the Dashboard Objects pane into the required dashboard section and opens its properties. In Folder Properties , the author specifies the folder containing the briefing books.
At runtime, the Folder object presents the folder's available briefing books to authorized users. Oracle also allows the author to control whether the folder initially appears expanded.
The Add to Briefing Book option performs the opposite task: it adds dashboard-page or analysis content into a briefing book rather than displaying a collection of existing briefing books. Downloading individual PDF versions likewise doesn't create a dashboard-accessible list. Saved Customizations preserve dashboard state and prompt selections, not catalog-folder contents.
Oracle's documented workflow directly specifies: add a Folder object, open Folder Properties, and identify the folder containing the briefing books. Therefore, option A precisely implements the required dashboard behavior.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Briefing Books and Folder Objects
NEW QUESTION # 45
An analyst wants an analysis to always display data for the currently logged-in user's assigned sales region without requiring manual input. Which variable type is most appropriate?
Answer: B
Explanation:
A Session Variable is the appropriate choice because its value is associated with an individual user's Oracle Analytics session. Oracle states that session variables are initialized when a user signs in and remain available throughout that user's browsing session. A non-system session variable can therefore hold contextual values such as the user's department, organizational unit, or SalesRegion .
For this scenario, an initialization block can retrieve the user's assigned region during authentication. An analysis can reference that session variable in a data filter, causing each user to receive automatically filtered results without entering a region manually. Oracle explicitly uses user department and sales region as examples of session-variable values.
A Presentation Variable is normally populated interactively through a dashboard or analysis prompt, which violates the requirement for no manual input. A semantic model/repository variable generally holds a value shared more broadly rather than a user-specific login value. A Request Variable temporarily overrides a session variable for an individual request.
Therefore, Session Variable directly provides the required user-specific, login-initialized analytical context.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Session Variables
NEW QUESTION # 46
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