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| Section | Weight | Objectives |
|---|---|---|
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using RTF Template Builder - Creating Excel and eText templates - Using Layout Editor - Formatting and customizing reports |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing analyses - Managing analytics content - Creating and managing views |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Scheduling reports - Managing report data sources - Publisher administration - Bursting and delivery - Report translations |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Using prompts and variables - Managing filters - Managing selection steps - Formatting data |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Dashboard prompts and pages - Creating and designing dashboards |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Security and application roles - Performance and caching |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
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NEW QUESTION # 12
An author adds a second dashboard page but does not see the page tabs in Preview and wants to verify the consumer experience. What should the author do?
Answer: A
Explanation:
The author should save and run the dashboard to inspect the actual consumer-facing behavior. Dashboard Builder's Preview function is designed primarily to preview the current dashboard page during authoring and doesn't always reproduce the complete navigation experience of the executed dashboard.
Oracle distinguishes the authoring workflow from runtime execution: authors can Preview the current page, Save their changes, or select Run to leave Dashboard Builder and display the dashboard as consumers see it.
In the executed dashboard, multiple pages are navigated using page tabs across the dashboard viewer.
Therefore, running the saved dashboard is the appropriate validation method when the concern is whether multiple dashboard-page tabs appear correctly.
Dashboard Report Links control items such as Print or Export links associated with dashboard content; they don't create dashboard-page tabs. Section Properties affect the layout and behavior of a section rather than dashboard-level navigation. Deleting and recreating the page as a subpage isn't required, and browser-cache clearing doesn't address the distinction between page Preview and dashboard runtime.
Therefore, option C correctly verifies the end-user experience.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Pages, Preview, and Runtime Navigation
NEW QUESTION # 13
Which type of report is an example of the bursting feature in Pixel-Perfect Reporting?
Answer: D
Explanation:
Customized regional marketing reports represent an appropriate bursting use case because bursting is intended to take a single report data set, divide it into logically distinct sections, generate separate documents, and deliver those documents according to segment-specific criteria.
For example, an organization could retrieve enterprise marketing performance in one query and split the resulting data by Region. Publisher could then generate one report for Europe, another for North America, another for Asia-Pacific, and so forth. Each segment could be delivered to the appropriate regional manager and could use its own locale, output format, template, or delivery destination.
Oracle's documented bursting examples follow precisely this pattern: customer-specific invoices, separate financial reports for cost-center managers, and individualized employee payslips. Customized regional reports are another application of the same key-based segmentation and delivery architecture.
Bar codes and government PDF forms are valid pixel-perfect reporting scenarios but don't inherently require bursting. Interactive data exploration is associated with analytical visualization, and ad hoc reporting refers to dynamically created analyses rather than mass personalized document generation.
Therefore, customized regional marketing reports are the choice that directly demonstrates Publisher bursting.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Bursting Use Cases
NEW QUESTION # 14
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: C
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 # 15
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: A
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 # 16
An administrator wants to ensure that only authenticated users with appropriate privileges can view sensitive BI Publisher reports embedded within Oracle Analytics Cloud dashboards. Which security model should be implemented?
Answer: B
Explanation:
Embedded Publisher reports remain protected by Oracle Analytics and Publisher authorization controls.
Authentication establishes who the user is, but access to the underlying Publisher content must additionally be governed through application roles, functional privileges, and Catalog permissions .
Oracle Analytics allows administrators to assign users and groups to application roles and then grant those roles access to Catalog objects. Publisher also defines functional permissions such as running reports, developing reports, scheduling reports, and accessing output. Oracle's administration guidance makes an important distinction: possession of a functional role does not by itself grant access to specific Catalog objects; the appropriate Catalog permissions must also be assigned.
This is particularly important for reports embedded in dashboards. Securing only the dashboard page isn't sufficient protection for the underlying sensitive Publisher object. Database authentication alone likewise does not implement the complete analytics-content authorization model. Disabling cache doesn't establish access control.
Therefore, the appropriate solution is role-based access combined with Publisher Catalog security , ensuring that only authenticated and authorized users can access the sensitive embedded reports.
Reference Topic: Managing and Securing Oracle Analytics Publisher - Application Roles, Functional Privileges, and Catalog Security
NEW QUESTION # 17
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