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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Administration - Performance and caching |
| Topic 2: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Using prompts and variables - Formatting data - Managing selection steps - Managing filters |
| Topic 3: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Topic 4: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Scheduling reports - Report translations - Bursting and delivery - Publisher administration |
| Topic 5: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 6: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 7: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using Layout Editor - Formatting and customizing reports - Using RTF Template Builder - Creating Excel and eText templates |
| Topic 8: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing analyses - Managing analytics content - Creating and managing views |
| Topic 9: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Dashboard prompts and pages - Enhancing dashboards and briefing books - Creating and designing dashboards |
| Topic 10: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
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NEW QUESTION # 27
A security administrator wants to assign analytics privileges to multiple users without configuring permissions individually. What is the recommended approach?
Answer: A
Explanation:
The recommended Oracle Analytics security model is to manage permissions through Application Roles . An application role represents a set of permissions determining what its members can see and do in Oracle Analytics Cloud. Administrators can assign users, groups, and even other application roles as members, allowing authorization to be administered centrally.
This is considerably more scalable than granting permissions individually. For example, an administrator can create or use an application role for Finance Analysts, assign the required analytics privileges and content permissions to that role, and then add all qualifying users to it. When staffing changes occur, administrators modify membership rather than repeatedly redesigning permissions.
Oracle's current guidance explicitly states that it is a best practice to assign permissions through application roles. Predefined roles such as BI Content Author and BI Consumer provide standard capabilities, while user- defined application roles can be created for organization-specific requirements.
Separate catalogs and duplicate dashboards would create unnecessary management overhead. Database accounts don't replace Oracle Analytics application-layer authorization.
Therefore, assigning users to Application Roles is the correct scalable approach.
Reference Topic: Managing Administration, Security, and Performance - Application Roles
NEW QUESTION # 28
An author adds a second dashboard page but does not see the page tabs in Preview and wants to verify the consumer experience. What should the author do?
Answer: A
Explanation:
The author should save and run the dashboard to inspect the actual consumer-facing behavior. Dashboard Builder's Preview function is designed primarily to preview the current dashboard page during authoring and doesn't always reproduce the complete navigation experience of the executed dashboard.
Oracle distinguishes the authoring workflow from runtime execution: authors can Preview the current page, Save their changes, or select Run to leave Dashboard Builder and display the dashboard as consumers see it.
In the executed dashboard, multiple pages are navigated using page tabs across the dashboard viewer.
Therefore, running the saved dashboard is the appropriate validation method when the concern is whether multiple dashboard-page tabs appear correctly.
Dashboard Report Links control items such as Print or Export links associated with dashboard content; they don't create dashboard-page tabs. Section Properties affect the layout and behavior of a section rather than dashboard-level navigation. Deleting and recreating the page as a subpage isn't required, and browser-cache clearing doesn't address the distinction between page Preview and dashboard runtime.
Therefore, option C correctly verifies the end-user experience.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Pages, Preview, and Runtime Navigation
NEW QUESTION # 29
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: A
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 # 30
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: B,D
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 # 31
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 # 32
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