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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Topic 2: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Administration - Performance and caching |
| Topic 3: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 4: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Creating and designing dashboards - Enhancing dashboards and briefing books |
| Topic 5: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Topic 6: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 7: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Bursting and delivery - Report translations - Managing report data sources - Publisher administration - Scheduling reports |
| Topic 8: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Formatting and customizing reports - Using RTF Template Builder - Creating Excel and eText templates |
| Topic 9: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing analyses - Creating and managing views |
| Topic 10: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing filters - Formatting data - Using prompts and variables - Managing selection steps |
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NEW QUESTION # 82
Which two statements are true about the Presentation Catalog?
Answer: C,D
Explanation:
Oracle Analytics provides explicit content-ownership and catalog-property administration. Authorized users and administrators can change or reassign ownership of catalog content. Oracle's Content Management functionality supports assigning content to another user or, for certain object categories, an application role.
Classic Catalog also provides ownership operations for supported reporting content.
Catalog items can additionally be designated Read-Only through their properties. Oracle gives the example of making an analysis read-only so other users can't modify it. Thus, D is directly supported.
By contrast, My Folders is private storage . Current Oracle Analytics documentation states that other analytics users can't access content stored there. Content that must be shared should be saved or moved to Shared Folders and given appropriate access permissions. Different object types aren't required to reside in separate folders, and catalog content can be copied, moved, archived, or unarchived subject to privileges and object capabilities.
Therefore, the Oracle-documented answers are A and D . The uploaded file marks A and C, but C conflicts with current Oracle Analytics documentation on My Folders privacy and is therefore corrected here.
Reference Topic: Managing Administration, Security, and Performance - Catalog Ownership and Object Properties
NEW QUESTION # 83
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: A
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 # 84
A report editor wants parameter changes to render immediately without requiring users to click Apply. The parameter must also allow multiple selections. Which two report-level parameter settings support this behavior?
Answer: C,E
Explanation:
The required configuration combines Show Apply Button = False with a Checkboxes parameter presentation. Oracle Analytics Publisher defines the Show Apply Button property as controlling whether users must explicitly submit changed parameter values. When this property is set to False, Publisher removes the Apply button and automatically regenerates the report after a parameter selection or entry changes. This directly satisfies the requirement for immediate rendering.
Checkboxes are appropriate for the second requirement because they permit the user to select multiple parameter values. Oracle's Report Viewer documentation identifies check boxes as a prompt control specifically intended for multiple selections. By contrast, Parameter Location and Parameter Label Location affect only the visual positioning of parameter controls and labels; they have no effect on refresh behavior or selection cardinality. Disabling a general Show property would suppress controls rather than implement automatic parameter processing.
Therefore, D controls when the parameter change is applied , while E controls how many values the user can select . Together they satisfy both functional requirements.
Reference Topic: Oracle Analytics Publisher - Report Parameters and Report Viewer Configuration
NEW QUESTION # 85
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: D
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 # 86
Which statement best describes a Repository Variable in Oracle Analytics Cloud?
Answer: C
Explanation:
A Semantic Model (Repository) Variable stores a centrally defined value that can be referenced by analyses, dashboards, filters, expressions, and other semantic-model logic. Oracle defines repository variables as values maintained within the semantic model rather than supplied interactively by individual report consumers.
Repository variables can be static or dynamic . A static repository variable retains its configured value until an administrator changes it. A dynamic repository variable is refreshed from data returned by an initialization query. Typical shared values include organizational constants, current reporting periods, or other centrally managed values that should be applied consistently.
Option A instead describes a Presentation Variable, which can be populated by a user's prompt selection.
Option B more closely describes a Session Variable, whose value is specific to a user's session and is commonly initialized when the user logs in. Option D doesn't describe repository-variable scope because a repository variable can persist across many analysis executions.
Oracle's current documentation calls these Semantic Model (Repository) Variables , preserving the repository terminology used in Classic Analytics. Therefore, the most accurate description is a centrally managed value reusable across analytical content .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Repository Variables
NEW QUESTION # 87
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