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| Section | Weight | Objectives |
|---|---|---|
| Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Governance, Security, and Administration | 25% | - Content Lifecycle Management
|
| Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Data Modeling and Semantic Design | 30% | - Semantic Model Design
|
| Visualization and Reporting | 20% | - Dashboards and Workbooks
|
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NEW QUESTION # 93
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: D
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 # 94
An administrator is configuring a delivery agent. The agent should deliver content to selected devices instead of using the user's active delivery profile, and the scheduled analysis run should seed the cache. Which two destination settings match these requirements?
Answer: A,E
Explanation:
For device delivery, Oracle Analytics distinguishes between Active Delivery Profile and Specific Devices .
Active Delivery Profile lets each user determine delivery behavior through personal delivery preferences.
When the Agent must instead target explicitly chosen device types, the author selects Specific Devices and identifies the permitted devices. This satisfies the requirement to avoid reliance on the user's active profile.
For cache seeding, Oracle documents a dedicated Agent workflow. After choosing the analysis or dashboard page and establishing recipients, the administrator clears ordinary user destinations and selects the Analytics Server/BI Server Cache destination. Scheduled execution then populates the query cache using the results generated by the Agent.
The terminology in the question uses Oracle BI Server Cache , while current Oracle Analytics Server documentation refers to Oracle Analytics Server Cache ; functionally, this is the same cache-seeding destination represented by option E.
Selecting Never wouldn't schedule cache seeding. Home Page and Dashboard creates analytics alerts rather than restricting delivery to email devices. Active Delivery Profile does the opposite of the requirement, and Printer isn't the standard cache-seeding destination.
Therefore, the correct selections are Specific Devices and Oracle BI Server Cache .
Reference Topic: Managing Administration, Security, and Performance - Agent Destinations and Cache Seeding
NEW QUESTION # 95
Which action creates a reusable calculated metric that remains available within the current analysis?
Answer: A
Explanation:
Adding a Calculated Column allows an analysis author to derive a new analytical value from existing columns or expressions without changing the underlying physical source data. The calculation becomes part of the current analytical definition and can be referenced throughout the analysis where supported.
Calculated expressions are useful for metrics such as profit percentage, variance, adjusted revenue, unit price, ratios, and other values derived from existing measures or attributes. This provides flexibility at the content- authoring layer while leaving centrally governed semantic-model objects unchanged.
The scope described in the question is important: the calculation must remain reusable within the current analysis . If the organization needed the metric governed and reusable across many analyses, defining the calculation centrally in the semantic model would normally provide stronger enterprise consistency.
A Dashboard Prompt supplies runtime values and filtering rather than creating calculated metrics. BAR files are migration artifacts and don't constitute an analysis calculation mechanism. Application Roles control authorization and permissions.
Therefore, among the available choices, Adding a Calculated Column is the function that creates the required derived metric in the analysis. The uploaded question explicitly associates this behavior with a calculated column.
Reference Topic: Managing and Creating Analyses, Views, and Content - Calculated Columns and Derived Metrics
NEW QUESTION # 96
The administrator has navigated to the Console page and clicked Search Index. Which three items can be included in the index?
Answer: A,D,F
Explanation:
The correct selections are Shared Folders, User Folders, and Data Models . Oracle Analytics provides search indexing for two broad categories: data-model content and catalog content . Data-model indexing controls whether semantic-model metadata-and optionally permitted data values-is indexed. Catalog indexing crawls analytics objects stored within catalog folders.
Oracle's current documentation explicitly states that the automatic catalog crawl indexes both user folders and shared folders . Administrators can exclude User Folders by clearing the Index User Folders option, which confirms that User Folders are a configurable indexed category. Oracle separately provides the Data Model tab for configuring semantic-model search indexing.
"Content Folder" is not the equivalent third selectable category in this question; catalog content is indexed through the Catalog configuration, which includes user and shared folders. Templates and "Dashboards Only" are likewise not the three high-level choices represented by the documented Search Index configuration.
Correction: the uploaded document marks Shared Folders, Data Models, and Content Folder. That key conflicts with Oracle's documented Search Index behavior. The verified answer is A, C, D .
Reference Topic: Managing Administration, Security, and Performance - Search Indexing
NEW QUESTION # 97
Which statement best describes the primary purpose of the Oracle Analytics Cloud Catalog?
Answer: D
Explanation:
The Oracle Analytics Catalog serves as the organized repository for analytical content. It stores and manages objects that users create and consume, including analyses, dashboards, prompts, Publisher reports, data models, templates, and related analytics artifacts. Content is organized into folder structures and governed through object-level access permissions.
Oracle distinguishes between personal and shared catalog locations. My Folders contains content belonging to an individual user, while Shared Folders contains objects intended to be accessible to authorized users or groups. The Catalog also supports operations such as searching for content, assigning permissions, moving or copying objects, and-in Publisher scenarios-uploading, downloading, and managing translations.
The Catalog isn't a relational database repository and therefore doesn't store database indexes or physical database schemas as its core purpose. It also doesn't generate warehouse tables or replace Oracle Database security. Database-level access control remains separate from analytics-content authorization.
Consequently, option B accurately describes the Catalog as the central organizational and management facility for Oracle Analytics content.
Reference Topic: Understanding Oracle Analytics Cloud - Catalog and Analytics Content Management
NEW QUESTION # 98
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