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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance, Security, and Administration | 25% | - User and Access Governance
|
| Topic 2: Data Modeling and Semantic Design | 30% | - Data Source Connections and Integration
|
| Topic 3: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Topic 4: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Topic 5: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
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NEW QUESTION # 71
Which service do you need to subscribe to for creating an Oracle Analytics Cloud (OAC) instance?
Answer: C
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 # 72
A user created a dashboard and wants to prevent other users from modifying it. What should the user do?
Answer: B
Explanation:
The appropriate Catalog control is to set the dashboard object to Read-Only . Oracle Analytics allows administrators-and owners for objects they control-to open a catalog item's Properties and modify its access-related attributes. Oracle specifically gives setting an analytics object to read-only as an example of preventing other users from modifying the content.
This setting addresses the requirement directly because the dashboard remains available for consumption while modifications are restricted according to the object's permissions and ownership configuration. It is therefore preferable to mechanisms that would alter discoverability or content organization without enforcing edit protection.
Adding an object to Favorites merely creates a personal shortcut and has no security effect. Transferring ownership doesn't inherently prevent the new owner or other permitted users from modifying the dashboard.
Renaming affects catalog references and naming, not write permissions. Archiving creates an archive representation for migration or backup purposes and doesn't constitute the normal method for protecting an active dashboard against edits.
Thus, the correct procedure is to locate the dashboard in the Catalog, open Properties , and configure the item as Read-Only .
Reference Topic: Managing Administration, Security, and Performance - Catalog Object Properties and Read-Only Content
NEW QUESTION # 73
Which statement best describes the primary purpose of the Oracle Analytics Cloud Catalog?
Answer: A
Explanation:
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
NEW QUESTION # 74
A report developer wants to create a formatted report without writing RTF templates or custom code. Which Oracle Analytics Publisher component should be used?
Answer: A
Explanation:
The Layout Editor is Oracle Analytics Publisher's browser-based visual report-design environment. Oracle describes it as a web-based, WYSIWYG, drag-and-drop tool for creating Publisher layouts without requiring authors to manually write an RTF template or formatting code.
Using Layout Editor, the author can insert and arrange components such as tables, charts, pivot tables, images, text items, and layout grids. Component properties, formatting, grouping, sorting, and other presentation characteristics can then be configured through the graphical interface. Layout Editor-generated XPT layouts support interactive browser viewing and a broad range of output types.
A SQL Worksheet is a database-query development environment and doesn't design Publisher report layouts.
Catalog Manager manages analytics catalog content rather than visually designing reports. Data Gateway handles remote data connectivity and has no report-formatting role.
This scenario specifically states that the developer wants formatted output without writing RTF templates or custom code , which precisely matches the purpose of Publisher Layout Editor.
Therefore, A. Layout Editor is the correct selection.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Publisher Layout Editor
NEW QUESTION # 75
A report author needs a layout component that provides multidimensional data in tabular form. The component must support multiple measures and dimensions at all levels. Which layout component should the author insert?
Answer: B
Explanation:
A Pivot Table is the correct layout component because Oracle Analytics Publisher specifically defines it as a mechanism for presenting multidimensional information in tabular form. A pivot table can organize dimensions across rows and columns while simultaneously displaying multiple measures in the data region. It also supports subtotals at multiple hierarchy levels, making it appropriate for analytical reports where users need to compare measures across several dimensional intersections.
A Layout Grid is primarily a structural container used to position report components; it does not itself perform multidimensional analysis. A Gauge visualizes a measure relative to a scale or threshold and is unsuitable for displaying multiple dimensions in tabular form. Text Items provide static or dynamically generated textual information, while Lists are designed for repeated structured content rather than multidimensional cross- tabulation.
Oracle's Publisher documentation explicitly describes the Pivot Table as providing multidimensional data in tabular form and supporting multiple measures, dimensions, and subtotals at all levels. This directly matches every requirement in the scenario.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Pivot Tables and Layout Components
NEW QUESTION # 76
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