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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
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| Topic 2: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 3: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Topic 4: Governance, Security, and Administration | 25% | - Content Lifecycle Management
|
| Topic 5: Data Modeling and Semantic Design | 30% | - Semantic Model Design
|
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66. Frage
An administrator is configuring a delivery agent. The agent should deliver content to selected devices instead of using the user's active delivery profile, and the scheduled analysis run should seed the cache. Which two destination settings match these requirements?
Antwort: B,C
Begründung:
For device delivery, Oracle Analytics distinguishes between Active Delivery Profile and Specific Devices .
Active Delivery Profile lets each user determine delivery behavior through personal delivery preferences.
When the Agent must instead target explicitly chosen device types, the author selects Specific Devices and identifies the permitted devices. This satisfies the requirement to avoid reliance on the user's active profile.
For cache seeding, Oracle documents a dedicated Agent workflow. After choosing the analysis or dashboard page and establishing recipients, the administrator clears ordinary user destinations and selects the Analytics Server/BI Server Cache destination. Scheduled execution then populates the query cache using the results generated by the Agent.
The terminology in the question uses Oracle BI Server Cache , while current Oracle Analytics Server documentation refers to Oracle Analytics Server Cache ; functionally, this is the same cache-seeding destination represented by option E.
Selecting Never wouldn't schedule cache seeding. Home Page and Dashboard creates analytics alerts rather than restricting delivery to email devices. Active Delivery Profile does the opposite of the requirement, and Printer isn't the standard cache-seeding destination.
Therefore, the correct selections are Specific Devices and Oracle BI Server Cache .
Reference Topic: Managing Administration, Security, and Performance - Agent Destinations and Cache Seeding
67. Frage
Which action creates a reusable calculated metric that remains available within the current analysis?
Antwort: B
Begründung:
Adding a Calculated Column allows an analysis author to derive a new analytical value from existing columns or expressions without changing the underlying physical source data. The calculation becomes part of the current analytical definition and can be referenced throughout the analysis where supported.
Calculated expressions are useful for metrics such as profit percentage, variance, adjusted revenue, unit price, ratios, and other values derived from existing measures or attributes. This provides flexibility at the content- authoring layer while leaving centrally governed semantic-model objects unchanged.
The scope described in the question is important: the calculation must remain reusable within the current analysis . If the organization needed the metric governed and reusable across many analyses, defining the calculation centrally in the semantic model would normally provide stronger enterprise consistency.
A Dashboard Prompt supplies runtime values and filtering rather than creating calculated metrics. BAR files are migration artifacts and don't constitute an analysis calculation mechanism. Application Roles control authorization and permissions.
Therefore, among the available choices, Adding a Calculated Column is the function that creates the required derived metric in the analysis. The uploaded question explicitly associates this behavior with a calculated column.
Reference Topic: Managing and Creating Analyses, Views, and Content - Calculated Columns and Derived Metrics
68. Frage
Which Oracle Analytics Cloud feature allows analysts to drill from a summary chart into detailed transactional information while preserving the current analytical context?
Antwort: C
Begründung:
Action Links enable context-sensitive navigation from analytical content to related analyses, dashboards, web pages, or other supported targets. An action link can be associated with a column heading, column value, or hierarchy-level value in an analysis. When invoked, the link can pass mapped parameters or contextual information to the destination.
This makes Action Links appropriate for moving from a summarized analytical view into transaction-level detail. For example, a user could select a customer, product, opportunity, or regional value in a summary analysis and open a detailed destination that reflects the selected context. Oracle's Action Framework supports parameter mapping when configuring the target action.
Modern Oracle Analytics workbook Data Actions provide a comparable capability: Analytics Links can pass source-canvas context into another canvas or workbook. The classic Action Link remains the feature explicitly represented in this question.
Repository Variables contain centrally managed values but aren't navigation mechanisms. Runtime Configuration controls Publisher processing settings, and Bursting generates and distributes personalized Publisher documents.
Therefore, B. Action Links is the correct mechanism for contextual navigation from summary to detailed analytical information.
Reference Topic: Designing, Creating, and Enhancing Dashboards - Action Links and Contextual Navigation
69. Frage
Which Oracle Analytics Cloud capability best differentiates governed analytics from purely self-service analytics?
Antwort: D
Begründung:
The defining characteristic of governed analytics is the use of shared, centrally controlled metadata and business logic. Oracle Analytics semantic models provide a common layer where administrators and data modelers can define dimensions, measures, hierarchies, relationships, calculations, security rules, and business-oriented terminology once and expose those definitions consistently through subject areas.
This avoids a major risk inherent in unmanaged self-service analytics: different users creating different interpretations of the same metric. For example, if each department independently defines Revenue, Margin, Customer Count, or Fiscal Quarter, reports can produce contradictory business results even though they use the same underlying source data.
Governance doesn't mean administrators must create every report. Business users can still independently create analyses, dashboards, and other content against approved subject areas. Nor does governed analytics restrict users to spreadsheets. Instead, governance establishes a controlled semantic foundation while preserving analytical self-service.
Oracle specifically describes the semantic model as a business-oriented abstraction layer that incorporates semantics and governance rules. Therefore, shared metadata and centrally managed business definitions are what most clearly distinguish governed analytics, making D correct.
Reference Topic: Understanding Oracle Analytics Cloud - Governed Analytics and Shared Semantic Metadata
70. Frage
An analyst wants to highlight sales values above target in green and values below target in red without changing the underlying data. Which feature should be used?
Antwort: C
Begründung:
Conditional Formatting is specifically designed to modify the visual representation of data when defined conditions are satisfied while leaving the underlying values unchanged. The analyst can establish rules such as Sales greater than or equal to Target and apply one format, while values below Target receive a different format.
Oracle Analytics supports conditional rules based on measures, attributes, thresholds, percentages, and expressions. Formatting can include font characteristics, cell presentation, images, backgrounds, and visualization-specific properties. Oracle's examples include stoplight-style formatting in which low, medium, and high values receive different visual treatments.
This functionality affects presentation only; it doesn't alter the source Sales values or change the actual calculation. That directly satisfies the requirement.
A Repository Variable stores centrally maintained values and isn't itself a visualization rule. Selection Steps determine which members appear after query aggregation. A Subject Area Filter limits the data returned or made available rather than simply changing its appearance.
Consequently, the appropriate feature for showing above-target values in green and below-target values in red is Conditional Formatting , making A correct.
Reference Topic: Formatting Data and Managing Filters, Selection Steps, and Variables - Conditional Formatting
71. Frage
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