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| Section | Weight | Objectives |
|---|---|---|
| Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Governance, Security, and Administration | 25% | - Content Lifecycle Management
|
| Data Modeling and Semantic Design | 30% | - Data Source Connections and Integration
|
| Visualization and Reporting | 20% | - Dashboards and Workbooks
|
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NEW QUESTION # 80
You have been tasked with building an analysis that requires data from two subject areas. How do you accomplish this?
Answer: A
Explanation:
Oracle Analytics supports cross-subject-area analyses , so the appropriate approach is to create the analysis using the primary subject area and then add another compatible or related subject area through the Analysis Editor.
Oracle's documented workflow starts by selecting one subject area and adding the initial analysis columns.
The author then uses Add/Remove Subject Areas in the Subject Areas pane to include another subject area and select the additional required columns. Where local dimensions are involved, Oracle recommends including an appropriate measure from each participating subject area so that the semantic model can resolve the query correctly.
The Analysis Editor is therefore capable of querying multiple subject areas when the semantic relationships support the requested combination. Modifying the semantic model simply to expose every required column in one subject area is unnecessary when compatible subject areas already exist. UNION is a set operation used for combining compatible result sets and is not the standard mechanism for selecting related columns across subject areas. MERGE and dashboard prompts likewise do not establish semantic relationships.
Thus, the supported workflow is to create one analysis and add the second related subject area.
Reference Topic: Managing and Creating Analyses, Views, and Content - Cross-Subject-Area Analyses
NEW QUESTION # 81
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?
Answer: C
Explanation:
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
NEW QUESTION # 82
An administrator wants to minimize the impact of frequently executed analytical queries on the underlying database while maintaining acceptable response times. Which combination provides the best solution?
Answer: C
Explanation:
The most effective combination is query caching plus an optimized semantic model . Oracle Analytics query caching stores previously generated query results so that compatible subsequent requests can be satisfied without repeatedly executing equivalent SQL against the underlying database. This reduces database workload, network traffic, and analytical response time for frequently repeated requests.
Caching alone, however, is not a substitute for sound semantic-model design. Proper logical relationships, aggregation behavior, source mappings, calculations, and physical connection configurations influence the efficiency of generated queries. Optimizing the model therefore addresses the cost of queries that do reach the source, while caching prevents unnecessary repetition of previously resolved requests.
Oracle also emphasizes that administrators need an appropriate cache-management strategy. Cache entries must be invalidated when source data or semantic-model definitions change so that users don't receive stale results.
Disabling caching increases database load. Duplicate subject areas add administrative complexity without inherently improving performance. Running every analysis every minute can substantially increase processing rather than reduce it.
Therefore, C provides the correct performance architecture: optimize query generation and use caching to avoid unnecessary source executions.
Reference Topic: Managing Administration, Security, and Performance - Query Cache and Semantic Model Performance
NEW QUESTION # 83
A report editor wants parameter changes to render immediately without requiring users to click Apply. The parameter must also allow multiple selections. Which two report-level parameter settings support this behavior?
Answer: C,D
Explanation:
The required configuration combines Show Apply Button = False with a Checkboxes parameter presentation. Oracle Analytics Publisher defines the Show Apply Button property as controlling whether users must explicitly submit changed parameter values. When this property is set to False, Publisher removes the Apply button and automatically regenerates the report after a parameter selection or entry changes. This directly satisfies the requirement for immediate rendering.
Checkboxes are appropriate for the second requirement because they permit the user to select multiple parameter values. Oracle's Report Viewer documentation identifies check boxes as a prompt control specifically intended for multiple selections. By contrast, Parameter Location and Parameter Label Location affect only the visual positioning of parameter controls and labels; they have no effect on refresh behavior or selection cardinality. Disabling a general Show property would suppress controls rather than implement automatic parameter processing.
Therefore, D controls when the parameter change is applied , while E controls how many values the user can select . Together they satisfy both functional requirements.
Reference Topic: Oracle Analytics Publisher - Report Parameters and Report Viewer Configuration
NEW QUESTION # 84
A dashboard should display an inventory analysis only when the logged-in user belongs to the Warehouse Manager role. Which feature should be implemented?
Answer: D
Explanation:
D is the intended answer among the supplied choices , because Guided Navigation and dashboard-section conditions are designed to display dashboard content conditionally. Oracle Analytics supports associating conditions with dashboard sections so that a section appears only when the configured condition is satisfied.
Historically this behavior has been described as Guided Navigation.
However, the question mixes conditional display with role-based authorization . Oracle's current documentation provides an even more direct mechanism for role-specific dashboard visibility: Dashboard Section Permissions . An administrator can grant or deny section access to specific users and application roles. If the strict requirement is "Warehouse Manager role members only," section permissions are the stronger access-control mechanism.
That option isn't present in the question. Of the choices supplied, Dashboard Prompt is a filtering mechanism, KPI Watchlist monitors performance metrics, and Analysis Filter controls data rather than dashboard-section access. Guided Navigation is therefore the closest and intended examination answer for conditional display.
For production security design, role-based section permissions should be distinguished from merely conditionally rendering content.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Conditional Sections, Guided Navigation, and Permissions
NEW QUESTION # 85
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