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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 2: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Topic 3: Governance, Security, and Administration | 25% | - Content Lifecycle Management
|
| Topic 4: Data Modeling and Semantic Design | 30% | - Data Source Connections and Integration
|
| Topic 5: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
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NEW QUESTION # 14
An author is creating analysis criteria from a subject area and also needs to change the order of the selected columns. How should the author perform these tasks?
Answer: B
Explanation:
Analysis criteria are built in the Criteria tab by selecting columns from folders within the chosen subject area. As columns are added, Oracle places them in the Selected Columns pane. The author can then control their sequence directly by dragging selected columns to the desired position.
Column order is significant because it can affect the initial order in which fields appear in certain result views and determines the organizational sequence of criteria. Reordering does not require changing the semantic model or rebuilding the analysis.
Clear Sort removes sorting specifications, such as ascending or descending sort behavior; it doesn't rearrange the position of selected columns. The Results tab is used to inspect and design visual output after criteria have been established. Catalog permissions control object security and aren't involved in analytical column ordering. Column Properties controls formatting, headings, interaction, data format, conditional formatting, and related characteristics but isn't the standard mechanism for rearranging criteria.
Accordingly, the correct workflow is to select the required columns from the subject area and drag them within Selected Columns to establish the desired order . The uploaded Oracle Analytics question source identifies the same workflow.
Reference Topic: Managing and Creating Analyses, Views, and Content - Criteria Tab and Selected Columns
NEW QUESTION # 15
An administrator wants Oracle Analytics Cloud to securely connect to an on-premises Oracle Database without exposing the database directly to the internet. Which feature should be implemented?
Answer: C
Explanation:
Data Gateway is Oracle Analytics Cloud's supported remote-data-connectivity mechanism for accessing eligible on-premises data sources when the data remains within the organization's network. Oracle instructs administrators to install Data Gateway on a host within the network where the data source resides and register it with the target Oracle Analytics Cloud environment.
OAC can then route supported analytical requests through the configured remote connectivity mechanism rather than requiring the database itself to be directly exposed through a public internet endpoint. When creating the OAC database connection, the administrator enables Use Remote Data Connectivity so queries can use Data Gateway.
Oracle's current security guidance identifies both Data Gateway and Private Access Channel as secure approaches for connecting OAC to on-premises data sources. Since Private Access Channel isn't one of the answer choices, Data Gateway is unequivocally the correct response here.
OCI Object Storage is an object-storage platform and doesn't provide the required database-query bridge. FTP transfers files rather than establishing analytical SQL connectivity. A Public REST Endpoint would contradict the requirement to avoid direct internet exposure.
Therefore, the appropriate feature is Oracle Analytics Data Gateway .
Reference Topic: Connecting to Data Sources and Migrating Artifacts - Data Gateway and Remote Data Connectivity
NEW QUESTION # 16
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: A
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 # 17
A finance report must display a summary chart, a pivot table, and detailed transactional data within the same formatted report. Which Oracle Analytics Publisher capability supports this requirement?
Answer: B
Explanation:
Oracle Analytics Publisher layouts can contain multiple report components within the same layout , allowing different representations of a report's data to be assembled into a single formatted document. The Layout Editor Components pane includes visual and tabular components such as charts, pivot tables, tables, images, and other elements that can be dragged into the report layout.
For this finance-report requirement, the author can place a summary chart near the top, use a pivot table for multidimensional financial analysis, and include a conventional table for transaction-level detail. Layout grids and other layout controls can be used to position these components appropriately within the report.
A Dashboard Prompt is intended for runtime filtering and doesn't construct Publisher layout sections.
Repository Variables provide centrally managed values rather than report-design components. Data Gateway supplies remote source connectivity.
Oracle documentation explicitly states that Layout Editor provides a drag-and-drop interface and that its Components pane includes objects such as charts and pivot tables. This architecture supports combining the required presentation elements within one report.
Therefore, C. Multiple layout components within a single report is correct.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - Layout Components
NEW QUESTION # 18
A global enterprise is implementing Oracle Analytics Cloud and wants executives to view the same dashboard while automatically seeing only data for their own business unit. Which implementation best follows Oracle best practices?
Answer: A
Explanation:
The recommended architecture is to maintain a single governed dashboard and enforce data visibility through application roles and row-level security in the semantic model . Oracle Analytics allows semantic- model data filters to be assigned to specific application roles. When a user queries an object protected by those filters, Oracle Analytics incorporates the applicable security predicates into the generated query, restricting results to the rows that user's roles are authorized to access.
For example, executives can all open the same Revenue dashboard while a Business Unit data filter automatically restricts each executive to the appropriate organizational data. This approach centralizes dashboard maintenance and security policy while avoiding duplicated content.
Dashboard prompts are useful for interactive filtering, but user-controlled prompts are not a substitute for authorization. Separate dashboards or subject areas for every executive create unnecessary maintenance and introduce the risk of inconsistent logic.
Oracle specifically recommends applying data filters to application roles rather than individual users for scalable row-level security. Therefore, C is the correct governed implementation.
Reference Topic: Managing Administration, Security, and Performance - Application Roles and Row- Level Security
NEW QUESTION # 19
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