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| Section | Weight | Objectives |
|---|---|---|
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Understanding Oracle Analytics Cloud | 5% | |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% |
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質問 # 72
Which statement best describes the primary purpose of the Oracle Analytics Cloud Catalog?
正解：D
解説：
The Oracle Analytics Catalog serves as the organized repository for analytical content. It stores and manages objects that users create and consume, including analyses, dashboards, prompts, Publisher reports, data models, templates, and related analytics artifacts. Content is organized into folder structures and governed through object-level access permissions.
Oracle distinguishes between personal and shared catalog locations. My Folders contains content belonging to an individual user, while Shared Folders contains objects intended to be accessible to authorized users or groups. The Catalog also supports operations such as searching for content, assigning permissions, moving or copying objects, and-in Publisher scenarios-uploading, downloading, and managing translations.
The Catalog isn't a relational database repository and therefore doesn't store database indexes or physical database schemas as its core purpose. It also doesn't generate warehouse tables or replace Oracle Database security. Database-level access control remains separate from analytics-content authorization.
Consequently, option B accurately describes the Catalog as the central organizational and management facility for Oracle Analytics content.
Reference Topic: Understanding Oracle Analytics Cloud - Catalog and Analytics Content Management
質問 # 73
A reporting analyst creates a dashboard that includes multiple analyses sharing the same filter criteria. Users complain that updating each analysis separately is difficult. Which design approach improves maintainability?
正解：D
解説：
A shared Dashboard Prompt with Presentation Variables centralizes user input and allows multiple dashboard analyses to reference the same runtime selection. Oracle defines a Presentation Variable as a variable populated through a dashboard column prompt or variable prompt. Each time the user changes the prompt selection, the presentation variable is assigned the selected value or values.
Analyses on the dashboard can then reference the variable in filters, expressions, titles, or other supported locations. This allows a department, fiscal period, region, or comparable filter criterion to be selected once and reused across multiple dashboard components.
The architecture substantially improves maintainability because the dashboard-level interaction is managed centrally rather than requiring a separate prompt or manually maintained filter mechanism for every analysis.
Independent prompts would recreate the exact maintenance problem stated in the scenario. Conditional Formatting changes visual presentation rather than providing shared filtering, while exporting analyses creates static outputs and eliminates the interactive dashboard experience.
Therefore, the correct design is A. Use a shared Dashboard Prompt with Presentation Variables .
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Prompts and Presentation Variables
質問 # 74
Which two statements about dashboard prompts are correct?
正解：C、F
解説：
A and B are the intended answers. Oracle Analytics supports constrained or cascading prompts , where a value selected in one prompt restricts the values presented by another. A classic example is selecting a Region first and having a subsequent City prompt display only cities within that region. This improves usability and prevents invalid combinations of prompt values.
Oracle also allows prompt default selections to be derived from server-side variables. These include session variables , which can contain user-specific information initialized when a user signs in, and semantic-model
/repository variables, which provide centrally maintained values. Such variables can therefore initialize prompts dynamically rather than requiring hard-coded default selections.
Statements C and D impose restrictions that Oracle Analytics does not require. F directly contradicts Oracle variable support.
There is an important technical issue with this question: Oracle Analytics also supports different prompt forms, including column and variable prompts, so E can be interpreted as generally valid . Consequently, E is a weak distractor and makes the item somewhat ambiguous when interpreted literally. For the supplied two- answer examination key and the specific concepts being tested-constrained prompts and variable-based defaults- A and B are the intended selections .
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Dashboard Prompts and Variables
質問 # 75
Which two statements describe bursting key concepts?
正解：A、C
解説：
The two fundamental bursting keys are Split By and Deliver By/Delivery By . The Split By element identifies how the report data is divided into individual blocks. For example, when producing customer invoices, CUSTOMER_ID can be used as the Split By value so that a separate data block and document can be generated for each customer.
The Deliver By element determines how formatting and delivery information is associated with each split segment. Oracle's bursting engine uses this key to correlate each section with information returned by the delivery query, including template, output format, locale, delivery channel, destination, and other delivery parameters. Consequently, different recipients can receive differently formatted outputs through different delivery channels from a single report execution.
Bursting definitions belong to the Publisher data model , not exclusively to the scheduling interface. Bursting is also not restricted to one output format across all generated documents. Supported delivery mechanisms extend beyond FTP and can include email, printers, content repositories, and other configured destinations.
The Diagnostic tab is not where the bursting delivery query is conceptually defined.
Thus, Split By controls data segmentation , while Delivery By controls segment-specific formatting and distribution .
Reference Topic: Managing Report Scheduling, Data Sources, Administration, and Translations - Publisher Bursting
質問 # 76
An administrator wants to ensure that only authenticated users with appropriate privileges can view sensitive BI Publisher reports embedded within Oracle Analytics Cloud dashboards. Which security model should be implemented?
正解：D
解説：
Embedded Publisher reports remain protected by Oracle Analytics and Publisher authorization controls.
Authentication establishes who the user is, but access to the underlying Publisher content must additionally be governed through application roles, functional privileges, and Catalog permissions .
Oracle Analytics allows administrators to assign users and groups to application roles and then grant those roles access to Catalog objects. Publisher also defines functional permissions such as running reports, developing reports, scheduling reports, and accessing output. Oracle's administration guidance makes an important distinction: possession of a functional role does not by itself grant access to specific Catalog objects; the appropriate Catalog permissions must also be assigned.
This is particularly important for reports embedded in dashboards. Securing only the dashboard page isn't sufficient protection for the underlying sensitive Publisher object. Database authentication alone likewise does not implement the complete analytics-content authorization model. Disabling cache doesn't establish access control.
Therefore, the appropriate solution is role-based access combined with Publisher Catalog security , ensuring that only authenticated and authorized users can access the sensitive embedded reports.
Reference Topic: Managing and Securing Oracle Analytics Publisher - Application Roles, Functional Privileges, and Catalog Security
質問 # 77
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