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| Section | Weight | Objectives |
|---|---|---|
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Publisher administration - Scheduling reports - Managing report data sources - Report translations - Bursting and delivery |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Creating and designing dashboards - Dashboard prompts and pages |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Creating and managing analyses - Managing analytics content |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Formatting and customizing reports - Creating Excel and eText templates - Using RTF Template Builder - Using Layout Editor |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Managing selection steps - Managing filters - Using prompts and variables |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Administration - Security and application roles - Performance and caching |
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NEW QUESTION # 17
An author wants to change a column heading and control whether repeated values display in the results.
Which two column formatting features should the author use?
Answer: B,C
Explanation:
The required capabilities are both available through Column Properties # Column Format . Custom Headings allows the report author to override the default folder or column heading presented in the analysis.
This affects the displayed label without modifying the underlying semantic-model column definition. Oracle also permits variables and formatting to be incorporated into custom heading values where appropriate.
Value Suppression controls how consecutive duplicate values are displayed. When the same attribute value occurs repeatedly in adjacent result rows, suppression can display the value only once instead of repeating it on every row. This improves readability in analyses containing grouped or naturally repetitive dimensional data.
Content Paging concerns result retrieval and rendering rather than headings or duplicates. Fixed Headers keeps headings visible during scrolling but does not rename them. Save as Default has a different purpose and does not directly meet either stated requirement.
Oracle's documentation explicitly associates Custom Headings and Value Suppression with the Column Format tab, directly validating B and C.
Reference Topic: Managing and Creating Analyses, Views, and Content - Column Properties and Column Formatting
NEW QUESTION # 18
A report includes an action link that opens a detailed customer analysis while passing the selected Customer ID automatically. Which Oracle Analytics capability enables this behavior?
Answer: C
Explanation:
Action Links provide context-sensitive navigation from one Oracle Analytics object to another. When an action is attached to a column value, heading, graph value, or other supported element, the user can invoke the action and navigate to another analysis, dashboard, or external destination. Parameters can be mapped so the target receives contextual information from the source.
In the scenario, the selected Customer ID must follow the user into the detailed customer analysis.
Presentation variables are one supported method for maintaining or referencing runtime context in analyses and dashboards, while Action Framework parameter mapping supplies the navigation behavior. Together, these mechanisms allow the target analysis to open already constrained to the relevant customer.
Current Oracle Analytics documentation also describes modern Data Actions as passing context values to target canvases and workbooks, reinforcing the same context-preserving navigation principle.
Repository Variables are centrally managed and not primarily intended for transferring a user's selected customer context. Publisher Bursting creates and distributes personalized documents. Snapshot Migration transfers environment artifacts rather than runtime navigation values.
Therefore, among the available choices, Action Links with Presentation Variables is the correct implementation.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Action Links and Contextual Navigation
NEW QUESTION # 19
What is the purpose of views in analyses?
Answer: B
Explanation:
A view is a visual representation of the results returned by an Oracle Analytics analysis. After criteria determine the columns, filters, calculations, and query logic, views control how those analytical results are presented to the consumer. A single analysis can therefore expose the same underlying query results through several different representations.
Oracle Analytics supports views such as tables, pivot tables, graphs, trellises, gauges, narratives, performance tiles, and other visualization types. This separation between analysis criteria and presentation allows authors to choose the most appropriate representation without rebuilding the underlying analytical query.
Views do not define the original attributes selected for the analysis; that occurs through the Criteria tab and Selected Columns. They also do not automatically activate subtotals for every analysis. Totals are explicitly configured where required. Conditional formatting is a separate presentation capability, while dashboard prompts are independently created filtering objects.
Oracle defines a view as a visual representation of analysis results and states that additional views can be added to visualize the same data in different ways. Therefore, option C precisely expresses the architectural purpose of views.
Reference Topic: Managing and Creating Analyses, Views, and Content - Analysis Views
NEW QUESTION # 20
A finance department needs monthly invoices to be automatically distributed as separate PDF files to each customer based on customer email addresses stored in the data model. Which Oracle Analytics Publisher feature should be used?
Answer: A
Explanation:
Report Bursting is specifically designed to split a single report execution into multiple personalized documents and deliver each document according to recipient-specific information. In this scenario, the finance department can use Customer ID as the bursting Split By and Deliver By key. The bursting delivery query can retrieve each customer's email address, output format, template, locale, and other delivery parameters from the underlying data.
Oracle provides a documented invoice bursting example in which CUSTOMER_ID identifies each report segment, the output format is selected dynamically, the delivery channel is EMAIL, and the customer's email address is supplied by the bursting query. The same architecture permits thousands of invoices to be generated from one report definition and distributed independently.
Layout Editor controls visual report design but doesn't automate recipient-specific splitting. Dashboard Prompts provide runtime filtering, and Conditional Formatting changes presentation according to conditions.
Therefore, Report Bursting precisely satisfies both requirements: generating a separate PDF for each customer and automatically delivering each document to the corresponding email address.
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Bursting and Delivery
NEW QUESTION # 21
An author repeatedly uses the same state filter in multiple analyses and wants to reuse the filter. What should the author do?
Answer: B
Explanation:
The author should save the filter as a named filter in the catalog . Oracle Analytics distinguishes between inline filters and named filters. An inline filter belongs to one specific analysis, whereas a named filter is stored independently in the Oracle Analytics Catalog and can subsequently be referenced by multiple compatible analyses.
This is particularly useful for centrally reused business criteria. For example, an organization might create a named filter representing a specific State, Quarter, business unit, or product group. Report authors can then apply that saved filter to multiple analyses rather than recreate the filter definition repeatedly. Oracle also notes that when a named filter is edited and saved, changes can propagate wherever the named filter is referenced, improving consistency and maintainability.
Changing AND/OR grouping merely modifies logical relationships between existing filters and doesn't make the filter independently reusable. Drilling changes the current analytical detail level. A dashboard prompt provides runtime filtering but isn't required simply to reuse the same predetermined filter definition.
Therefore, the appropriate reusable object is a Named Filter saved in the Catalog .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Named Filters
NEW QUESTION # 22
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