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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Security, and Administration | 25% | - User and Access Governance
|
| Topic 2: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Topic 3: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 4: Data Modeling and Semantic Design | 30% | - Semantic Model Design
|
| Topic 5: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
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NEW QUESTION # 102
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 # 103
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 # 104
A BI developer needs to migrate dashboards, analyses, and catalog objects from a development environment to production. Which Oracle Analytics migration artifact is typically used?
Answer: C
Explanation:
A BAR file is the archive format used when exporting an Oracle Analytics Cloud snapshot for migration or backup. Oracle's current migration workflow is presented through Console # Snapshots . An administrator takes or selects a snapshot, exports it, and downloads the resulting archive as a file with the .bar extension.
The BAR snapshot can contain Oracle Analytics content and configuration, including catalog artifacts such as analyses and dashboards, semantic-model content, application roles, and other supported environment metadata depending on the snapshot and restore options. The administrator then imports the BAR file into the target OAC environment and restores the required content.
This makes snapshot/BAR migration repeatable and substantially safer than manually rebuilding or copying individual analytical objects. Oracle's current documentation explicitly shows the browser downloading bar_file_name.bar and subsequently importing that snapshot into the target environment.
Excel workbooks aren't environment migration packages. XML templates apply to specific Publisher or metadata scenarios, while SQL scripts can't package Oracle Analytics Catalog content and service configuration.
Therefore, BAR File is correct, with current OAC terminology commonly describing it as an exported snapshot (.bar) .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - OAC Snapshots and BAR Files
NEW QUESTION # 105
A report author needs a layout component that provides multidimensional data in tabular form. The component must support multiple measures and dimensions at all levels. Which layout component should the author insert?
Answer: B
Explanation:
A Pivot Table is the correct layout component because Oracle Analytics Publisher specifically defines it as a mechanism for presenting multidimensional information in tabular form. A pivot table can organize dimensions across rows and columns while simultaneously displaying multiple measures in the data region. It also supports subtotals at multiple hierarchy levels, making it appropriate for analytical reports where users need to compare measures across several dimensional intersections.
A Layout Grid is primarily a structural container used to position report components; it does not itself perform multidimensional analysis. A Gauge visualizes a measure relative to a scale or threshold and is unsuitable for displaying multiple dimensions in tabular form. Text Items provide static or dynamically generated textual information, while Lists are designed for repeated structured content rather than multidimensional cross- tabulation.
Oracle's Publisher documentation explicitly describes the Pivot Table as providing multidimensional data in tabular form and supporting multiple measures, dimensions, and subtotals at all levels. This directly matches every requirement in the scenario.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Pivot Tables and Layout Components
NEW QUESTION # 106
An author creates an analysis that includes at least one hierarchical column and clicks the Results tab. What view is automatically created for the analysis?
Answer: C
Explanation:
Oracle Analytics determines the default result view according to the types of columns included in the analysis. Oracle documentation states that when an analysis contains only attribute and measure columns, the Compound Layout initially contains a table . However, when the analysis contains at least one hierarchical column , Oracle automatically creates a pivot table view .
This behavior is intentional because a pivot table is designed to represent hierarchical structures effectively. It supports expansion and collapse of hierarchy members, multidimensional presentation, and hierarchical navigation in ways that a conventional flat table doesn't.
A trellis view is useful for repeated visual comparisons across dimensions but isn't automatically generated merely because a hierarchy is present. Graph and gauge views must generally be added explicitly when appropriate. Likewise, the statement that every analysis defaults to a table is incorrect because Oracle specifically distinguishes hierarchical analyses from analyses containing only attribute and measure columns.
Therefore, once the author selects Results for an analysis containing a hierarchical column, the default result visualization is a Pivot Table . This behavior is directly documented in Oracle's Analysis Results guidance.
Reference Topic: Managing and Creating Analyses, Views, and Content - Hierarchical Columns and Default Views
NEW QUESTION # 107
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