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| Section | Weight | Objectives |
|---|---|---|
| Data Modeling and Semantic Design | 30% | - Semantic Model Design
|
| Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Governance, Security, and Administration | 25% | - Content Lifecycle Management
|
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NEW QUESTION # 72
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: D,F
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 # 73
An administrator needs Oracle Analytics Publisher to access database tables before developers create SQL query data sets. Which two actions configure the JDBC connection?
Answer: C,D
Explanation:
Publisher database connectivity is administered through the Publisher Administration page , not through individual reports or dashboards. In an integrated Oracle Analytics environment, Oracle documents the navigation path through Administration # Manage Publisher to reach the Publisher administration interface.
From there, the administrator uses the JDBC Connection option under Data Sources and selects Add Data Source . The JDBC definition contains configuration such as the data source name, database driver, connection string, authentication credentials, optional proxy authentication, and allowed roles. Once configured successfully, that connection becomes available to authorized Data Model developers when they create SQL Query data sets.
A report layout is downstream of data acquisition and therefore isn't required to establish connectivity.
Sample data likewise depends on an executable data model. Dashboard Editor manages dashboard presentation rather than Publisher database connections, while the Catalog stores Publisher objects but isn't the administrative interface for defining JDBC infrastructure.
Consequently, the correct workflow is to access Manage Publisher/Publisher Administration and then create the connection through JDBC Connection under Data Sources .
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - JDBC Data Sources
NEW QUESTION # 74
A development team has completed new dashboards and BI Publisher reports. Before deploying them to production, they need a repeatable migration process that preserves dependencies and configuration. Which approach is recommended?
Answer: C
Explanation:
Oracle Analytics Cloud uses snapshots , which can be exported as BAR files , to provide a controlled and repeatable mechanism for migrating analytics content between environments. A snapshot can package supported service content and configuration, including catalog objects such as dashboards and analyses, Publisher artifacts, semantic-model content, application-role information, and other applicable configuration.
Oracle's documented migration workflow is to create a snapshot in the source environment, export the snapshot as a .bar file, import that BAR file into the target Oracle Analytics Cloud instance, and then restore the required components. The Custom restore option allows administrators to select which elements are transferred when the target environment contains configuration that must remain unchanged.
Manual catalog copying does not provide the same dependable migration of dependencies and service configuration. Recreating dashboards in production is inefficient and prone to configuration drift. PDF files are generated outputs and cannot recreate Analytics or Publisher objects.
Therefore, the repeatable Oracle-supported deployment mechanism represented in the choices is exporting and importing a snapshot using a BAR file .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Snapshots and BAR Migration
NEW QUESTION # 75
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: B
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 # 76
What is the purpose of views in analyses?
Answer: A
Explanation:
A view is a visual representation of the results returned by an Oracle Analytics analysis. After criteria determine the columns, filters, calculations, and query logic, views control how those analytical results are presented to the consumer. A single analysis can therefore expose the same underlying query results through several different representations.
Oracle Analytics supports views such as tables, pivot tables, graphs, trellises, gauges, narratives, performance tiles, and other visualization types. This separation between analysis criteria and presentation allows authors to choose the most appropriate representation without rebuilding the underlying analytical query.
Views do not define the original attributes selected for the analysis; that occurs through the Criteria tab and Selected Columns. They also do not automatically activate subtotals for every analysis. Totals are explicitly configured where required. Conditional formatting is a separate presentation capability, while dashboard prompts are independently created filtering objects.
Oracle defines a view as a visual representation of analysis results and states that additional views can be added to visualize the same data in different ways. Therefore, option C precisely expresses the architectural purpose of views.
Reference Topic: Managing and Creating Analyses, Views, and Content - Analysis Views
NEW QUESTION # 77
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