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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Using RTF Template Builder - Formatting and customizing reports - Creating Excel and eText templates |
| Topic 2: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Creating and designing dashboards - Enhancing dashboards and briefing books |
| Topic 3: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 4: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 5: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Creating and managing analyses - Managing analytics content |
| Topic 6: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 7: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Publisher administration - Scheduling reports - Report translations - Bursting and delivery - Managing report data sources |
| Topic 8: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing filters - Managing selection steps - Using prompts and variables |
| Topic 9: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Administration - Performance and caching |
| Topic 10: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
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NEW QUESTION # 58
The administrator has navigated to the Console page and clicked Search Index. Which three items can be included in the index?
Answer: A,D,E
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 # 59
Which statement describes the purpose of Virtual Private Database (VPD) in a secure reporting approach?
Answer: B
Explanation:
Oracle Virtual Private Database (VPD) implements fine-grained, database-level access control by dynamically restricting rows returned to a user. A VPD policy associates a policy function with a protected table, view, or synonym. When a SQL statement references that object, Oracle Database automatically applies the policy-generated predicate to the statement.
For example, a query that conceptually requests every row from a sales table can transparently become a query restricted to the current user's authorized sales region. This makes VPD particularly suitable for reporting environments where multiple users execute similar reports but must see different subsets of the underlying data.
Oracle Analytics Publisher can preserve user identity through proxy-authenticated connections, while the database's VPD policy performs the row-level enforcement. This is fundamentally stronger than filtering sensitive rows only after they have already been returned to Publisher.
Catalog permissions solve a different security problem: they determine who can access or modify report objects. Bursting creates personalized documents but doesn't constitute database row-level security.
Therefore, VPD's defining role in this scenario is database-enforced row-level security , making A correct.
Reference Topic: Managing and Securing Oracle Analytics Publisher - VPD and Row-Level Data Security
NEW QUESTION # 60
Which Oracle Analytics Publisher configuration controls default processing options such as temporary file handling, font settings, and report output behavior?
Answer: B
Explanation:
Runtime Configuration controls Publisher's system-level processing and document-generation behavior.
Oracle's Runtime Configuration framework includes settings for different output types, PDF processing and security, FO processing, memory and performance behavior, template processing, report delivery properties, and associated font mappings.
Oracle's runtime configuration file also illustrates settings such as system-temp-dir, PDF compression, PDF security, and font definitions. In the administrative interface, the Runtime Configuration page provides corresponding system-level properties, with some settings also configurable at individual report level. When report-level and system-level settings differ, Oracle can apply the more specific report-level setting where documented.
A Subject Area is a governed analytical data presentation layer and has nothing to do with Publisher document-processing defaults. Presentation Variables capture runtime prompt values. Selection Steps refine displayed members of an analysis.
The uploaded source's explanation explicitly identifies Runtime Configuration as defining system-wide Publisher processing and output-generation behavior. Its extracted "Correct answer" marker is misplaced relative to the options; Oracle documentation confirms that A. Runtime Configuration is the technically correct answer.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Runtime Configuration
NEW QUESTION # 61
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: B,D
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 # 62
A business analyst wants to create governed reports while ensuring all users calculate Revenue consistently across departments. Which Oracle Analytics Cloud feature best supports this requirement?
Answer: D
Explanation:
A semantic model with shared business definitions is the correct mechanism for governed enterprise analytics. Oracle defines the semantic model as a metadata layer that maps underlying physical data sources into logical dimensions, measures, hierarchies, relationships, calculations, and presentation objects that reflect how the organization understands its business. This enables centrally defined measures such as Revenue to be calculated consistently regardless of which analyst, dashboard, or analysis consumes them.
After deployment, the semantic model is exposed to users through subject areas . Analysts can create analyses and dashboards using business-friendly objects without needing to understand physical schemas or reproduce calculation logic independently. Centralizing Revenue logic also reduces discrepancies caused by users implementing different spreadsheet formulas or workbook-specific calculations.
CSV files, personal formulas, and independently maintained workbook calculations are useful for self-service scenarios but don't provide the same level of semantic governance, consistency, security, or reusable enterprise definitions.
Therefore, option A directly satisfies the requirement for a trusted and consistently calculated Revenue metric across departments.
Reference Topic: Understanding Oracle Analytics Cloud - Semantic Models and Governed Analytics
NEW QUESTION # 63
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