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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced Analytics and Insights | 15% | - Augmented Analytics Features
|
| Topic 2: Visualization and Reporting | 20% | - Dashboards and Workbooks
|
| Topic 3: Deployment and Operational Governance | 10% | - Content Publishing and Scheduling
|
| Topic 4: Data Modeling and Semantic Design | 30% | - Semantic Model Design
|
| Topic 5: Governance, Security, and Administration | 25% | - User and Access Governance
|
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96. Frage
Which type of report is an example of the bursting feature in Pixel-Perfect Reporting?
Antwort: A
97. Frage
A reporting analyst creates a dashboard that includes multiple analyses sharing the same filter criteria. Users complain that updating each analysis separately is difficult. Which design approach improves maintainability?
Antwort: A
Begründung:
A shared Dashboard Prompt with Presentation Variables centralizes user input and allows multiple dashboard analyses to reference the same runtime selection. Oracle defines a Presentation Variable as a variable populated through a dashboard column prompt or variable prompt. Each time the user changes the prompt selection, the presentation variable is assigned the selected value or values.
Analyses on the dashboard can then reference the variable in filters, expressions, titles, or other supported locations. This allows a department, fiscal period, region, or comparable filter criterion to be selected once and reused across multiple dashboard components.
The architecture substantially improves maintainability because the dashboard-level interaction is managed centrally rather than requiring a separate prompt or manually maintained filter mechanism for every analysis.
Independent prompts would recreate the exact maintenance problem stated in the scenario. Conditional Formatting changes visual presentation rather than providing shared filtering, while exporting analyses creates static outputs and eliminates the interactive dashboard experience.
Therefore, the correct design is A. Use a shared Dashboard Prompt with Presentation Variables .
Reference Topic: Designing, Creating, and Enhancing Dashboards - Dashboard Prompts and Presentation Variables
98. Frage
A user needs to locate catalog content but remembers only part of the item name, and also wants hidden items to appear in the results. Which two search settings should the user apply?
Antwort: A,B
Begründung:
Oracle Analytics Catalog search supports locating objects when users know only part of an object's name. The Catalog Search field matches objects and folders whose names contain the characters entered, so supplying the full or partial name is sufficient; an exact object name isn't required.
Hidden content requires an additional configuration. Oracle's Presentation Catalog documentation specifically states that users must select Show Hidden Items on the Catalog page header when they want hidden objects included in catalog browsing or search results. Availability of hidden objects can additionally depend on the user's privileges, but assuming the user is authorized, this option exposes them to the search operation.
Read-Only is an object property and doesn't improve searchability. Permissions determine access to an object but aren't a search criterion. Favorites provide a shortcut to previously selected content rather than a comprehensive catalog search. Restricting the search to My Folders could omit relevant Shared Folder content.
Therefore, the correct combination is Show Hidden Items plus a full or partial object-name search .
Reference Topic: Managing Administration, Security, and Performance - Presentation Catalog Search
99. Frage
A report designer needs to create interactive prompts in an Oracle Analytics Publisher (OAP) report to allow users to filter by sales region and a specific date. Which two parameter types would be most suitable?
Antwort: A,C
Begründung:
A List of Values (LOV) mechanism and a Date parameter provide the appropriate controls for this requirement. For sales region, users should select from a predefined, controlled collection of valid business values rather than entering arbitrary text. In Publisher, this is normally implemented using a Menu parameter associated with an LOV . The LOV can contain fixed values or be populated dynamically through a SQL query, thereby ensuring that the regions presented to users correspond to valid source-data values.
For the specific-date requirement, Publisher provides the Date parameter type. A Date parameter exposes an appropriate date-selection interface and passes a date value to the underlying data set using the configured date datatype and Java date format.
Boolean parameters are intended for true/false-style conditions rather than selecting geographical members.
Expression and XML are not the appropriate interactive parameter controls for these requirements.
Technically, Oracle terminology treats the LOV as the value source associated with a Menu parameter; therefore, option C represents the intended region-selection mechanism in this question.
Reference Topic: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher - Parameters and Lists of Values
100. Frage
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?
Antwort: A
Begründung:
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
101. Frage
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