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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Topic 3: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing analyses - Creating and managing views - Managing analytics content |
| Topic 4: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Creating and designing dashboards - Dashboard prompts and pages |
| Topic 5: Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Topic 6: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing filters - Managing selection steps - Using prompts and variables - Formatting data |
| Topic 7: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Performance and caching - Administration |
| Topic 8: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Bursting and delivery - Managing report data sources - Publisher administration - Report translations - Scheduling reports |
| Topic 9: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Topic 10: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
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NEW QUESTION # 22
Following a migration to production, users receive authorization errors when accessing shared Publisher reports despite successful authentication. Which area should the administrator verify first?
Answer: D
Explanation:
Successful authentication proves the user's identity, but it does not automatically authorize access to Publisher catalog content. Oracle explicitly distinguishes authentication from authorization: after a user is authenticated, access to Publisher resources is controlled through application-role mappings, permission grants, catalog permissions, and associated security policies.
Following migration, the administrator should therefore verify that users or groups are correctly mapped to the expected application roles and that those roles retain the necessary catalog permissions on the shared Publisher folders, reports, data models, and any dependent catalog objects. Oracle notes that a role with functional Publisher privileges still can't act on catalog objects until the corresponding catalog permissions are granted.
Database optimizer statistics might affect query performance but wouldn't normally produce a Publisher authorization error. Dashboard layout controls presentation, and browser caching doesn't determine application-role authorization.
The uploaded source's own explanation confirms this authentication-versus-authorization distinction, although its extracted Correct Answer marker is displaced. Oracle documentation independently confirms that Catalog permissions and application role assignments are the first security area to inspect.
Reference Topic: Managing and Securing Oracle Analytics Publisher - Authentication, Authorization, Roles, and Catalog Permissions
NEW QUESTION # 23
A BI Publisher developer needs to create a reusable report template that contains corporate branding, reusable formatting, and standard legal disclaimers for multiple reports. What is the recommended approach?
Answer: D
Explanation:
A Publisher subtemplate is specifically intended to centralize reusable layout and processing components so that they can be referenced from multiple report templates. Oracle defines a subtemplate as formatting functionality that is created once and reused either multiple times in one layout or across multiple report- layout files.
Common Oracle-documented use cases include reusable headers, footers, address blocks, conditional layouts, calculations, and formatting logic . Corporate branding and standard legal disclaimers fit this design precisely. The developer can create an RTF subtemplate containing the standardized components, upload it as a Sub Template object in the Publisher Catalog, and then import and call the required template sections from individual RTF layouts.
If company branding or legal language changes, updating the centralized subtemplate minimizes maintenance across all reports that reference it.
Duplicating the content in every RTF layout creates consistency and maintenance problems. Separate layouts still duplicate common material. SQL data models should represent data retrieval and structure, not presentation branding.
Therefore, C. Create a subtemplate and reference it from report templates is Oracle's recommended reusable-design pattern.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - RTF Subtemplates
NEW QUESTION # 24
An analyst wants an analysis to always display data for the currently logged-in user's assigned sales region without requiring manual input. Which variable type is most appropriate?
Answer: D
Explanation:
A Session Variable is the appropriate choice because its value is associated with an individual user's Oracle Analytics session. Oracle states that session variables are initialized when a user signs in and remain available throughout that user's browsing session. A non-system session variable can therefore hold contextual values such as the user's department, organizational unit, or SalesRegion .
For this scenario, an initialization block can retrieve the user's assigned region during authentication. An analysis can reference that session variable in a data filter, causing each user to receive automatically filtered results without entering a region manually. Oracle explicitly uses user department and sales region as examples of session-variable values.
A Presentation Variable is normally populated interactively through a dashboard or analysis prompt, which violates the requirement for no manual input. A semantic model/repository variable generally holds a value shared more broadly rather than a user-specific login value. A Request Variable temporarily overrides a session variable for an individual request.
Therefore, Session Variable directly provides the required user-specific, login-initialized analytical context.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Session Variables
NEW QUESTION # 25
An author is creating analysis criteria from a subject area and also needs to change the order of the selected columns. How should the author perform these tasks?
Answer: C
Explanation:
Analysis criteria are built in the Criteria tab by selecting columns from folders within the chosen subject area. As columns are added, Oracle places them in the Selected Columns pane. The author can then control their sequence directly by dragging selected columns to the desired position.
Column order is significant because it can affect the initial order in which fields appear in certain result views and determines the organizational sequence of criteria. Reordering does not require changing the semantic model or rebuilding the analysis.
Clear Sort removes sorting specifications, such as ascending or descending sort behavior; it doesn't rearrange the position of selected columns. The Results tab is used to inspect and design visual output after criteria have been established. Catalog permissions control object security and aren't involved in analytical column ordering. Column Properties controls formatting, headings, interaction, data format, conditional formatting, and related characteristics but isn't the standard mechanism for rearranging criteria.
Accordingly, the correct workflow is to select the required columns from the subject area and drag them within Selected Columns to establish the desired order . The uploaded Oracle Analytics question source identifies the same workflow.
Reference Topic: Managing and Creating Analyses, Views, and Content - Criteria Tab and Selected Columns
NEW QUESTION # 26
A developer must create a SQL query data set but is not comfortable writing SQL manually. What should the developer use to build the SQL statement graphically?
Answer: C
Explanation:
Query Builder is specifically designed to construct SQL queries graphically with minimal requirement for manually written SQL. Within the Publisher Data Model Editor, a developer creating a SQL Query data set can launch Query Builder, browse available database objects, add tables or views to the design area, select columns, define relationships between objects, apply query conditions, inspect the generated SQL, and execute the query to review results.
Oracle describes Query Builder as a mechanism for building SQL queries without coding . Its interface separates object selection from query design and output functions, making it suitable for developers or report authors who understand the required data but do not want to manually construct SQL syntax.
Layout Editor serves a different stage of report development: it controls the visual presentation of the report after data has been retrieved. Catalog Manager is concerned with catalog content rather than SQL construction. The Report Wizard assists with creating reports and layouts but is not the graphical relational query-design tool. Parameter configuration defines runtime input values rather than the complete SQL statement.
Consequently, Query Builder precisely satisfies the requirement for graphical SQL development.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - SQL Query Data Sets and Query Builder
NEW QUESTION # 27
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