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| Section | Weight | Objectives |
|---|---|---|
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Managing selection steps - Formatting data - Managing filters - Using prompts and variables |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Securing Publisher content and access - Managing Oracle Analytics Publisher |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Bursting and delivery - Managing report data sources - Scheduling reports - Report translations - Publisher administration |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Creating Excel and eText templates - Using RTF Template Builder - Using Layout Editor - Formatting and customizing reports |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing views - Managing analytics content - Creating and managing analyses |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Enhancing dashboards and briefing books - Creating and designing dashboards - Dashboard prompts and pages |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Security and application roles - Performance and caching - Administration |
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating and managing data models - Creating reports |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
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NEW QUESTION # 15
Which service do you need to subscribe to for creating an Oracle Analytics Cloud (OAC) instance?
Answer: E
Explanation:
Oracle Analytics Cloud is the service represented by the required answer. Oracle provides OAC as an OCI analytics service, and an Oracle Analytics Cloud instance is created as an Analytics service instance through the Oracle Cloud Infrastructure Console, REST API, or command-line interfaces.
Oracle documentation for subscription-based environments specifically describes creating a service using an Oracle Analytics Cloud Subscription , after which the administrator selects Oracle Analytics Cloud Subscription and creates an instance. In current OCI environments, provisioning is governed through OCI tenancy, IAM policies, service entitlements, and the analytics-instance resource, but none of the other answer choices represents the analytics service being provisioned.
Oracle Autonomous Database can serve as an analytical data source but doesn't replace an OAC service instance. Object Storage can provide datasets, migration storage, or Publisher delivery destinations but isn't the required analytics service. Oracle Integration Cloud provides application and process integration rather than OAC analytical capabilities.
Consequently, among the listed choices, an Oracle Analytics Cloud service/subscription is required to provision the OAC instance.
Reference Topic: Understanding Oracle Analytics Cloud - Provisioning an Oracle Analytics Cloud Service
NEW QUESTION # 16
During production validation, users report that migrated dashboards open successfully but some analyses display "Subject Area not found." What should the administrator verify first?
Answer: D
Explanation:
A "Subject Area not found" condition points first to the analytical metadata layer rather than to dashboard rendering. Analyses reference subject areas exposed by the deployed semantic model. If the expected semantic model wasn't migrated or deployed correctly, if the relevant presentation subject area is missing, or if its name/mapping no longer matches what the analysis references, the dashboard itself can open while individual analyses fail.
Oracle's OAC migration workflow explicitly treats the Data Model and Subject Areas as snapshot components. During certain migration procedures, administrators may deliberately exclude these components from snapshot restoration and separately upload an updated semantic model. This makes verification of the deployed semantic model and its exposed subject areas a critical production-validation step.
Browser compatibility does not create or remove subject-area metadata. Email configuration applies to delivery, and Publisher Runtime Configuration controls report-processing behavior rather than Classic Analysis subject-area resolution.
Therefore, the administrator should first verify that the expected semantic model is deployed and the referenced subject areas and mappings exist correctly , making B the technically supported response.
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Semantic Model and Subject Area Migration
NEW QUESTION # 17
Which two statements about dashboard prompts are correct?
Answer: A,F
Explanation:
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
NEW QUESTION # 18
A development team has completed new dashboards and BI Publisher reports. Before deploying them to production, they need a repeatable migration process that preserves dependencies and configuration. Which approach is recommended?
Answer: B
NEW QUESTION # 19
Which Oracle Analytics Cloud capability best differentiates governed analytics from purely self-service analytics?
Answer: A
Explanation:
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
NEW QUESTION # 20
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