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| Section | Weight | Objectives |
|---|---|---|
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Report translations - Publisher administration - Managing report data sources - Scheduling reports - Bursting and delivery |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing filters - Formatting data - Using prompts and variables - Managing selection steps |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Performance and caching - Security and application roles |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Creating and designing dashboards - Enhancing dashboards and briefing books |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Formatting and customizing reports - Using RTF Template Builder - Creating Excel and eText templates - Using Layout Editor |
| 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 # 19
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: A
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 # 20
A developer needs to design a highly formatted Microsoft Word-based report template containing company branding, repeating groups, and conditional formatting. Which tool should be used?
Answer: C
Explanation:
Template Builder for Word is specifically designed for developing sophisticated Oracle Analytics Publisher RTF templates within Microsoft Word . It is installed as a Word add-in and simplifies insertion of Publisher data fields, tables, repeating groups, charts, forms, processing instructions, and other report components.
RTF templates retain access to Microsoft Word's native document-formatting features. This makes them particularly appropriate for reports requiring corporate branding, precisely positioned text, headers and footers, images, complex tables, and other print-oriented formatting. Publisher's RTF processing capabilities additionally support conditional formatting, grouping, dynamic columns, calculations, and other advanced report logic.
Oracle's official documentation identifies Template Builder as an add-in that automates insertion of frequently used Publisher components and provides tools to preview output using sample XML data. The underlying RTF format also supports more complex Publisher processing instructions where required.
Dashboard Builder creates analytical dashboards rather than Word-based templates. SQL Developer is a database-development tool. Catalog editing doesn't provide Word document formatting.
Therefore, Template Builder for Word is the correct tool for this highly formatted RTF reporting requirement.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Template Builder for Word
NEW QUESTION # 21
An author wants to combine results from two subject areas in an analysis and asks whether the Analysis Editor can create joins between subject areas. Which approach should the author use?
Answer: D
Explanation:
When the objective is to stack separate result sets , the Analysis Editor supports set operations such as UNION, UNION ALL, INTERSECT, and DIFFERENCE . Oracle documents a specific Combine Results function that lets authors create criteria from another subject area and apply a set operator to the two query result sets.
Set operations, however, aren't relational join definitions. They combine compatible result sets and require matching numbers of columns and compatible data types. They don't create primary-key/foreign-key or other semantic relationships between subject areas.
Cross-subject-area relational behavior depends on the semantic model , including common dimensions, facts, and relationships defined for the participating subject areas. Oracle also supports cross-subject-area analyses using conformed dimensions, but those relationships derive from model metadata rather than a join created ad hoc through set-operation syntax.
Dashboard prompts simply provide runtime filtering and don't create data relationships. Likewise, adding a second query doesn't itself define semantic join logic.
Therefore, the accurate distinction is: use set operators when stacking compatible result sets; define and govern actual joins through the semantic model .
Reference Topic: Managing and Creating Analyses, Views, and Content - Combining Subject Areas and Set Operations
NEW QUESTION # 22
Which role is required to edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition?
Answer: A
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 # 23
An analyst wants to highlight sales values above target in green and values below target in red without changing the underlying data. Which feature should be used?
Answer: B
Explanation:
Conditional Formatting is specifically designed to modify the visual representation of data when defined conditions are satisfied while leaving the underlying values unchanged. The analyst can establish rules such as Sales greater than or equal to Target and apply one format, while values below Target receive a different format.
Oracle Analytics supports conditional rules based on measures, attributes, thresholds, percentages, and expressions. Formatting can include font characteristics, cell presentation, images, backgrounds, and visualization-specific properties. Oracle's examples include stoplight-style formatting in which low, medium, and high values receive different visual treatments.
This functionality affects presentation only; it doesn't alter the source Sales values or change the actual calculation. That directly satisfies the requirement.
A Repository Variable stores centrally maintained values and isn't itself a visualization rule. Selection Steps determine which members appear after query aggregation. A Subject Area Filter limits the data returned or made available rather than simply changing its appearance.
Consequently, the appropriate feature for showing above-target values in green and below-target values in red is Conditional Formatting , making A correct.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Conditional Formatting
NEW QUESTION # 24
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