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| Section | Weight | Objectives |
|---|---|---|
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Performance and caching - Administration |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing filters - Using prompts and variables - Managing selection steps - Formatting data |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Managing report data sources - Publisher administration - Report translations - Scheduling reports - Bursting and delivery |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Migrating analytics artifacts - Connecting to data sources |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Managing analytics content - Creating and managing analyses - Creating and managing views |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Dashboard prompts and pages - Enhancing dashboards and briefing books |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using RTF Template Builder - Using Layout Editor - Formatting and customizing reports - Creating Excel and eText templates |
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問題 #13
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?
答案：C
解題說明：
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
問題 #14
A user needs to locate catalog content but remembers only part of the item name, and also wants hidden items to appear in the results. Which two search settings should the user apply?
答案：A,F
解題說明：
Oracle Analytics Catalog search supports locating objects when users know only part of an object's name. The Catalog Search field matches objects and folders whose names contain the characters entered, so supplying the full or partial name is sufficient; an exact object name isn't required.
Hidden content requires an additional configuration. Oracle's Presentation Catalog documentation specifically states that users must select Show Hidden Items on the Catalog page header when they want hidden objects included in catalog browsing or search results. Availability of hidden objects can additionally depend on the user's privileges, but assuming the user is authorized, this option exposes them to the search operation.
Read-Only is an object property and doesn't improve searchability. Permissions determine access to an object but aren't a search criterion. Favorites provide a shortcut to previously selected content rather than a comprehensive catalog search. Restricting the search to My Folders could omit relevant Shared Folder content.
Therefore, the correct combination is Show Hidden Items plus a full or partial object-name search .
Reference Topic: Managing Administration, Security, and Performance - Presentation Catalog Search
問題 #15
An administrator needs to ensure that only members of the Finance department can modify a shared dashboard while all other users have read-only access. Which Oracle Analytics Cloud feature should be configured?
答案：C
解題說明：
Catalog Object Permissions provide the required authorization control for shared Oracle Analytics content.
Dashboards, analyses, folders, and related catalog objects can be assigned permissions that determine which users or application roles can read, modify, delete, or otherwise manage them. For this scenario, the administrator can grant the Finance application role appropriate modification privileges while granting other authorized consumers read-only access.
Oracle recommends assigning access through roles rather than individual users wherever possible. This simplifies administration because users inherit the catalog permissions associated with their application-role membership. Shared-folder permissions can also be used so that contained objects inherit a consistent security configuration.
A Dashboard Prompt controls filtering and runtime input, not modification rights. Data Gateway provides connectivity to remote or on-premises sources. Query Cache improves analytical query performance but has no role in dashboard authorization.
The uploaded source identifies Catalog Object Permissions for this scenario, and Oracle documentation confirms that shared analytics content can be secured using permissions assigned to users and roles.
Reference Topic: Managing Administration, Security, and Performance - Catalog Security and Object Permissions
問題 #16
A report should exclude products with zero sales before any ranking or sorting occurs. Which Oracle Analytics feature should be used?
答案：D
解題說明：
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
問題 #17
An author wants to combine results from two subject areas in an analysis and asks whether the Analysis Editor can create joins between subject areas. Which approach should the author use?
答案：C
解題說明：
When the objective is to stack separate result sets , the Analysis Editor supports set operations such as UNION, UNION ALL, INTERSECT, and DIFFERENCE . Oracle documents a specific Combine Results function that lets authors create criteria from another subject area and apply a set operator to the two query result sets.
Set operations, however, aren't relational join definitions. They combine compatible result sets and require matching numbers of columns and compatible data types. They don't create primary-key/foreign-key or other semantic relationships between subject areas.
Cross-subject-area relational behavior depends on the semantic model , including common dimensions, facts, and relationships defined for the participating subject areas. Oracle also supports cross-subject-area analyses using conformed dimensions, but those relationships derive from model metadata rather than a join created ad hoc through set-operation syntax.
Dashboard prompts simply provide runtime filtering and don't create data relationships. Likewise, adding a second query doesn't itself define semantic join logic.
Therefore, the accurate distinction is: use set operators when stacking compatible result sets; define and govern actual joins through the semantic model .
Reference Topic: Managing and Creating Analyses, Views, and Content - Combining Subject Areas and Set Operations
問題 #18
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