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| Section | Weight | Objectives |
|---|---|---|
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Creating and designing dashboards - Dashboard prompts and pages |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using RTF Template Builder - Using Layout Editor - Creating Excel and eText templates - Formatting and customizing reports |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Scheduling reports - Bursting and delivery - Report translations - Publisher administration |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing filters - Using prompts and variables - Managing selection steps - Formatting data |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Performance and caching - Administration - Security and application roles |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
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NEW QUESTION # 32
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: E
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 # 33
Which Oracle Analytics Cloud capability best differentiates governed analytics from purely self-service analytics?
Answer: A
Explanation:
The defining characteristic of governed analytics is the use of shared, centrally controlled metadata and business logic. Oracle Analytics semantic models provide a common layer where administrators and data modelers can define dimensions, measures, hierarchies, relationships, calculations, security rules, and business-oriented terminology once and expose those definitions consistently through subject areas.
This avoids a major risk inherent in unmanaged self-service analytics: different users creating different interpretations of the same metric. For example, if each department independently defines Revenue, Margin, Customer Count, or Fiscal Quarter, reports can produce contradictory business results even though they use the same underlying source data.
Governance doesn't mean administrators must create every report. Business users can still independently create analyses, dashboards, and other content against approved subject areas. Nor does governed analytics restrict users to spreadsheets. Instead, governance establishes a controlled semantic foundation while preserving analytical self-service.
Oracle specifically describes the semantic model as a business-oriented abstraction layer that incorporates semantics and governance rules. Therefore, shared metadata and centrally managed business definitions are what most clearly distinguish governed analytics, making D correct.
Reference Topic: Understanding Oracle Analytics Cloud - Governed Analytics and Shared Semantic Metadata
NEW QUESTION # 34
A company wants regional managers to access only their own dashboard while using a common dashboard design. Which Oracle Analytics feature provides the most maintainable solution?
Answer: A
Explanation:
The most maintainable approach is to retain a single dashboard design while using dashboard filtering together with security controls that ensure each manager sees only authorized data. Dashboard prompts can provide a common interactive filtering experience, while row-level or role-based security must enforce the actual access boundary.
Oracle Analytics supports application-role-based filtering so that different users opening shared analytics content see only the data applicable to their assigned role. Oracle also supports object and data-access permissions through application roles and semantic-model security. This means the organization can maintain one dashboard instead of creating separate copies for every regional manager.
It is important to distinguish functionality from security: a dashboard prompt alone isn't an authorization mechanism . The security filtering component must enforce which regional data each manager is entitled to access. The prompt can then support user interaction within that permitted dataset.
Duplicating dashboards increases maintenance effort and creates version drift. Separate subject areas for each individual manager are also unnecessarily complex, while static PDF exports eliminate interactive analytics.
Therefore, D is the maintainable architecture: one dashboard, shared interaction design, and centrally enforced security filtering .
Reference Topic: Designing, Creating, and Enhancing Dashboards - Shared Dashboard Design and Security Filtering
NEW QUESTION # 35
A dashboard designer wants users to choose a department once, with every analysis on the dashboard responding to that selection. What is the recommended implementation?
Answer: D
Explanation:
A Dashboard Prompt combined with a Presentation Variable provides a centralized runtime control that can be reused by multiple analyses on the same dashboard. Oracle defines a presentation variable as a variable whose value is populated from a column prompt or variable prompt. Each time the user changes the prompt selection, Oracle updates the presentation variable with the newly selected value.
The dashboard analyses can reference that variable in their filters or expressions. Consequently, the user selects Department once, and all appropriately configured content responds using the same runtime value.
This avoids duplicating prompt logic within each individual analysis and improves maintainability.
Applying separate filters manually would require maintaining similar logic in every analysis. Creating distinct dashboards for each department creates unnecessary duplication and version-management overhead. Multiple analysis-level prompts would also produce a fragmented user experience when a single dashboard-level selection is required.
Oracle's documentation explicitly states that presentation variables can be created through prompts and that their values change when users make new prompt selections. Therefore, the recommended architecture is one Dashboard Prompt that sets a Presentation Variable consumed by the related analyses.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Prompts and Presentation Variables
NEW QUESTION # 36
Which type of report is an example of the bursting feature in Pixel-Perfect Reporting?
Answer: B
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 # 37
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