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| Section | Weight | Objectives |
|---|---|---|
| Understanding Oracle Analytics Cloud | 5% | |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% |
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質問 # 78
A dashboard author wants users to see one visible link on the dashboard. When users click it, they should choose from several actions, each navigating to a web page. Which two configuration steps meet this requirement?
正解：A、F
解説：
An Action Link Menu is designed specifically for grouping several dashboard actions behind one visible menu. Instead of displaying multiple independent links, the author places an Action Link Menu object on the dashboard and adds the individual action links to that menu. Each contained action can navigate to another analytics object, external web page, or other supported destination.
The Menu Label supplies the text displayed to the user for that grouped menu. Oracle's configuration workflow explicitly instructs authors to enter a value in the Menu Label field and then add individual action links to the Action Link Menu. When the consumer uses the menu, the available actions are presented as selectable options.
Standalone inline or named links would expose multiple separate links and therefore violate the requirement for one visible entry point. The More icon is not the dashboard design mechanism required here, and creating separate dashboard pages introduces unnecessary navigation and maintenance.
Therefore, the correct design is to use an Action Link Menu as the container and configure its Menu Label as the visible menu text.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Action Links and Action Link Menus
質問 # 79
During dashboard execution, a user selects a fiscal year from a prompt, and multiple analyses immediately refresh using that value. Which variable type is typically used to support this behavior?
正解：B
解説：
A Presentation Variable is the variable type specifically designed to capture a value selected by a user through a dashboard prompt and make that value available dynamically to analyses and other dashboard content.
Oracle states that a presentation variable can be created as part of either a column prompt or a variable prompt . Whenever the user selects one or more values in the associated prompt, Oracle sets the presentation variable to the selected value or values. Analyses can then reference that variable in filters, column formulas, titles, narrative text, or other supported expressions.
In this scenario, selecting Fiscal Year at runtime establishes a user-controlled value that multiple analyses can consume. Because the value changes interactively as the user changes the prompt selection, Presentation Variable is the appropriate variable scope.
A Repository Variable is centrally managed and isn't normally populated from a user's dashboard selection.
Session variables generally hold user-specific or system values initialized for a login session. Initialization blocks are mechanisms used to populate certain server/session variables rather than the runtime dashboard variable required here.
Therefore, Presentation Variable precisely matches the described prompt-driven dashboard behavior.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Presentation Variables
質問 # 80
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?
正解：D
解説：
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
質問 # 81
Users report that frequently executed analyses are taking longer than expected even though the underlying data changes only once each day. Which feature can improve query response time?
正解：A
解説：
Query caching is specifically designed to improve response time for repeated analytical queries. Oracle Analytics Cloud stores previously computed query results in a local query cache. When a later request can be satisfied from an existing cache entry, Oracle Analytics can return the precomputed result rather than execute another request against the underlying database.
This scenario is particularly suitable for caching because the underlying data changes only once per day. The administrator can therefore maintain a cache lifecycle aligned with the daily refresh process. After source data changes, relevant cache entries should be purged or refreshed to prevent stale results. Between refreshes, frequently repeated analyses can achieve significant performance improvements while reducing database processing, network traffic, and Oracle Analytics processing overhead.
Disabling caching would increase repeated source-system workload. Adding dashboard prompts doesn't inherently reduce query execution cost. Moving analyses into Personal Folders changes catalog organization and access, not query-processing efficiency.
Oracle explicitly states that query caching can dramatically improve query performance by satisfying subsequent requests without accessing back-end data sources. Therefore, D is correct.
Reference Topic: Managing Administration, Security, and Performance - Query Cache Management
質問 # 82
A report should exclude products with zero sales before any ranking or sorting occurs. Which Oracle Analytics feature should be used?
正解：C
解説：
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
質問 # 83
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