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| Section | Weight | Objectives |
|---|---|---|
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Understanding Oracle Analytics Cloud | 5% | |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% |
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NEW QUESTION # 56
Which role is required to edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition?
Answer: D
Explanation:
The required predefined application role is BI Data Model Author . Oracle defines this role specifically for users who create and manage semantic models with Semantic Modeler. Membership provides access to Semantic Modeler and the capabilities required to create, edit, and deploy semantic models.
Oracle's current Semantic Modeler workflow documentation explicitly instructs administrators to grant the BI Data Model Author application role to users who require semantic-model development access. If the role is not assigned, the Semantic Model option may not appear on the Create page, and deployment-related capabilities are unavailable.
The other roles serve different functions. BI Content Author focuses on analyses, dashboards, and pixel- perfect reports rather than semantic-model administration. DV Consumer is intended for consuming and exploring visualizations. BI Data Load Author is not the semantic-model authoring role. "BI RPD Model Author" and "BI Service User" are not the applicable predefined application role for the current Semantic Modeler workflow described by Oracle.
Therefore, BI Data Model Author is the role aligned directly with creating, editing, managing, and deploying semantic models in Oracle Analytics Cloud.
Reference Topic: Managing Administration, Security, and Performance - Application Roles and Semantic Model Security
NEW QUESTION # 57
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: A
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 # 58
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: A
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 # 59
A security administrator wants to assign analytics privileges to multiple users without configuring permissions individually. What is the recommended approach?
Answer: B
Explanation:
The recommended Oracle Analytics security model is to manage permissions through Application Roles . An application role represents a set of permissions determining what its members can see and do in Oracle Analytics Cloud. Administrators can assign users, groups, and even other application roles as members, allowing authorization to be administered centrally.
This is considerably more scalable than granting permissions individually. For example, an administrator can create or use an application role for Finance Analysts, assign the required analytics privileges and content permissions to that role, and then add all qualifying users to it. When staffing changes occur, administrators modify membership rather than repeatedly redesigning permissions.
Oracle's current guidance explicitly states that it is a best practice to assign permissions through application roles. Predefined roles such as BI Content Author and BI Consumer provide standard capabilities, while user- defined application roles can be created for organization-specific requirements.
Separate catalogs and duplicate dashboards would create unnecessary management overhead. Database accounts don't replace Oracle Analytics application-layer authorization.
Therefore, assigning users to Application Roles is the correct scalable approach.
Reference Topic: Managing Administration, Security, and Performance - Application Roles
NEW QUESTION # 60
A report should exclude products with zero sales before any ranking or sorting occurs. Which Oracle Analytics feature should be used?
Answer: C
Explanation:
Among the provided choices, Selection Step is the intended answer. Selection steps allow an analysis author to refine which attribute or hierarchy members remain visible and can be arranged in a defined sequence.
They support operations such as keeping or removing members and applying condition-based member selection, including conditions based on measures such as Sales.
Oracle distinguishes selection steps from conventional filters. A normal column filter is applied before query aggregation , while selection steps operate after aggregation and affect the members displayed without changing already-calculated aggregate values. Selection steps can also be sequenced so that one refinement occurs before a later Top N or other member-selection operation.
There is a wording weakness in this item. If "before any ranking" means before query aggregation and ranking at the SQL level, a conventional analysis filter such as Sales < > 0 would be the cleaner technical mechanism, but Filter isn't one of the answer choices . Of the listed options, Selection Step is the only feature capable of removing members as part of analytical result refinement.
Dashboard Prompts provide runtime input; Conditional Formatting only changes appearance; Narrative View controls presentation.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Selection Steps
NEW QUESTION # 61
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