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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Scheduling reports - Bursting and delivery - Publisher administration - Report translations |
| Topic 2: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Topic 3: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 4: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing filters - Using prompts and variables - Managing selection steps - Formatting data |
| Topic 5: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Formatting and customizing reports - Creating Excel and eText templates - Using Layout Editor - Using RTF Template Builder |
| Topic 6: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Topic 7: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Topic 8: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Topic 9: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Creating and designing dashboards - Dashboard prompts and pages |
| Topic 10: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Performance and caching - Administration |
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NEW QUESTION # 55
A BI Publisher developer needs to create a reusable report template that contains corporate branding, reusable formatting, and standard legal disclaimers for multiple reports. What is the recommended approach?
Answer: D
Explanation:
A Publisher subtemplate is specifically intended to centralize reusable layout and processing components so that they can be referenced from multiple report templates. Oracle defines a subtemplate as formatting functionality that is created once and reused either multiple times in one layout or across multiple report- layout files.
Common Oracle-documented use cases include reusable headers, footers, address blocks, conditional layouts, calculations, and formatting logic . Corporate branding and standard legal disclaimers fit this design precisely. The developer can create an RTF subtemplate containing the standardized components, upload it as a Sub Template object in the Publisher Catalog, and then import and call the required template sections from individual RTF layouts.
If company branding or legal language changes, updating the centralized subtemplate minimizes maintenance across all reports that reference it.
Duplicating the content in every RTF layout creates consistency and maintenance problems. Separate layouts still duplicate common material. SQL data models should represent data retrieval and structure, not presentation branding.
Therefore, C. Create a subtemplate and reference it from report templates is Oracle's recommended reusable-design pattern.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - RTF Subtemplates
NEW QUESTION # 56
Which statement best describes the primary purpose of the Oracle Analytics Cloud Catalog?
Answer: B
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 # 57
A report designer needs to display sales performance by Region, Product Category, and Quarter in a highly interactive visual comparison. Which view is most appropriate?
Answer: B
Explanation:
A Trellis View is the most appropriate visualization for comparing the same measure across multiple dimensional categories. A trellis displays a series of related visualizations in a grid, allowing users to compare equivalent graphical structures across dimension members.
For example, the designer could use Region or Product Category as an outer-edge dimension and Quarter or another analytical dimension within the repeated visualizations. Because every trellis cell follows a consistent graphical framework, differences in sales performance become easier to identify across categories.
Oracle distinguishes between Simple Trellis and Advanced Trellis use cases. Oracle recommends Simple Trellis for general comparisons and Advanced Trellis when analyzing trends. The documentation also advises controlling dimensional density so that each repeated graph remains readable.
A Narrative View renders textual descriptions generated from query results and isn't optimized for comparative multidimensional visualization. A static table can present all values but provides less immediate visual comparison. A KPI is generally intended to summarize performance against targets rather than display a repeated multidimensional comparison across Region, Product Category, and Quarter.
Therefore, Trellis View best satisfies the scenario.
Reference Topic: Managing and Creating Analyses, Views, and Content - Trellis Views
NEW QUESTION # 58
Which type of report is an example of the bursting feature in Pixel-Perfect Reporting?
Answer: E
NEW QUESTION # 59
A report requires users to select a department from a predefined list before the query executes. Which Oracle Analytics Publisher feature satisfies this requirement?
Answer: D
NEW QUESTION # 60
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