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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 2: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 3: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Dashboard prompts and pages - Creating and designing dashboards |
| Topic 4: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing analyses - Creating and managing views |
| Topic 5: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 6: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Creating Excel and eText templates - Formatting and customizing reports - Using RTF Template Builder |
| Topic 7: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Topic 8: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Bursting and delivery - Scheduling reports - Report translations - Managing report data sources - Publisher administration |
| Topic 9: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing filters - Formatting data - Using prompts and variables - Managing selection steps |
| Topic 10: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Administration - Performance and caching |
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NEW QUESTION # 98
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: D
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 # 99
Which two statements are true about Action Links?
Answer: A,E
Explanation:
Action Links provide context-sensitive navigation and action execution within Oracle Analytics. They can navigate to BI content, open external web resources, or invoke other supported actions. Presentation variables can participate in navigation scenarios so that contextual values captured at runtime can be supplied when moving between analytical content.
Oracle also explicitly supports conditional Action Links . When an action link is associated with an analysis column, its availability can be controlled by one or more conditions. For example, an escalation action could appear only when Revenue falls below a specified threshold. Oracle documentation describes this as conditionally enabling or displaying the action link according to data-driven criteria.
The remaining statements impose restrictions that do not exist. Action destinations are not limited merely because analyses reside in different catalog folders. Action Links are not restricted to analyses based on one subject area and certainly are not limited to dashboard prompts. Oracle explicitly supports navigation actions that open web pages and other external resources.
Consequently, B and C describe supported Action Link capabilities: runtime contextual navigation and conditional availability.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Action Framework and Conditional Action Links
NEW QUESTION # 100
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: D
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 # 101
While creating a data model in Oracle Analytics Publisher, a developer needs to retrieve data directly from an Oracle Database using a custom SQL statement. Which data set type should be used?
Answer: C
Explanation:
A SQL Query Data Set is the appropriate Publisher data-set type when a report data model must retrieve relational data by executing a custom SQL statement. In the Data Model Editor, the developer selects New Dataset # SQL Query , chooses the required configured data source, and then enters a Standard SQL statement or invokes Query Builder to construct the statement graphically.
Oracle Analytics Publisher supports SQL Query Data Sets against Oracle Database and other supported relational sources. The SQL can contain standard SELECT logic and can also be extended with supported bind variables and other Publisher capabilities where required. This gives the developer direct control over the data retrieved for the report.
An XML Data Set consumes XML-based data rather than running relational SQL. An Excel Data Set retrieves spreadsheet content, while generic file-based options don't provide direct execution of a custom Oracle Database SQL statement.
Oracle's official documentation explicitly instructs developers to create an SQL Query dataset for this requirement. Therefore, C directly matches the described data-access method.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - SQL Query Data Sets
NEW QUESTION # 102
An administrator is configuring a delivery agent. The agent should deliver content to selected devices instead of using the user's active delivery profile, and the scheduled analysis run should seed the cache. Which two destination settings match these requirements?
Answer: C,E
Explanation:
For device delivery, Oracle Analytics distinguishes between Active Delivery Profile and Specific Devices .
Active Delivery Profile lets each user determine delivery behavior through personal delivery preferences.
When the Agent must instead target explicitly chosen device types, the author selects Specific Devices and identifies the permitted devices. This satisfies the requirement to avoid reliance on the user's active profile.
For cache seeding, Oracle documents a dedicated Agent workflow. After choosing the analysis or dashboard page and establishing recipients, the administrator clears ordinary user destinations and selects the Analytics Server/BI Server Cache destination. Scheduled execution then populates the query cache using the results generated by the Agent.
The terminology in the question uses Oracle BI Server Cache , while current Oracle Analytics Server documentation refers to Oracle Analytics Server Cache ; functionally, this is the same cache-seeding destination represented by option E.
Selecting Never wouldn't schedule cache seeding. Home Page and Dashboard creates analytics alerts rather than restricting delivery to email devices. Active Delivery Profile does the opposite of the requirement, and Printer isn't the standard cache-seeding destination.
Therefore, the correct selections are Specific Devices and Oracle BI Server Cache .
Reference Topic: Managing Administration, Security, and Performance - Agent Destinations and Cache Seeding
NEW QUESTION # 103
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