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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Performance and caching - Administration - Security and application roles |
| Topic 2: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing views - Creating and managing analyses |
| Topic 3: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Creating Excel and eText templates - Using RTF Template Builder - Formatting and customizing reports |
| Topic 4: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing selection steps - Using prompts and variables - Managing filters - Formatting data |
| Topic 5: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Topic 6: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Creating and designing dashboards - Enhancing dashboards and briefing books |
| Topic 7: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 8: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Topic 9: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Scheduling reports - Bursting and delivery - Report translations - Managing report data sources - Publisher administration |
| Topic 10: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
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NEW QUESTION # 22
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 # 23
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 # 24
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: A,E
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 # 25
An organization wants business users to build analyses without knowing SQL while still using governed enterprise data. Which Oracle Analytics Cloud capability enables this approach?
Answer: D
Explanation:
Subject Areas provide the business-oriented interface that enables analysts to create governed analyses without writing SQL. Oracle defines subject areas as logical collections of related business information exposed from a deployed semantic model. They contain presentation tables, columns, measures, hierarchies, and other analytical objects that business users can select through the Analysis Editor.
The semantic model hides the complexity of underlying database structures. A user can therefore select concepts such as Customer, Product, Revenue, Quarter, or Region rather than determine physical table names, joins, aggregation rules, or SQL syntax. When an analysis executes, the Oracle Analytics query engine uses the semantic-model metadata to generate the appropriate physical queries against the source systems.
This model combines usability with governance because calculations, relationships, security rules, and business definitions remain centrally managed.
Direct SQL requires technical query knowledge and bypasses much of the business-friendly abstraction the scenario demands. Database triggers serve transactional database functions, while OCI Object Storage is a storage service rather than a semantic reporting interface.
Therefore, Subject Areas are the correct capability for governed, SQL-free business analysis.
Reference Topic: Managing and Creating Analyses, Views, and Content - Subject Areas
NEW QUESTION # 26
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: A
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 # 27
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