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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building and Formatting Reports Using Layout Editor and Template Builder | 15% | |
| Topic 2: Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | |
| Topic 3: Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | |
| Topic 4: Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | |
| Topic 5: Understanding Oracle Analytics Cloud | 5% | |
| Topic 6: Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | |
| Topic 7: Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | |
| Topic 8: Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | |
| Topic 9: Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | |
| Topic 10: Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% |
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NEW QUESTION # 63
A company wants regional managers to access only their own dashboard while using a common dashboard design. Which Oracle Analytics feature provides the most maintainable solution?
Answer: B
Explanation:
The most maintainable approach is to retain a single dashboard design while using dashboard filtering together with security controls that ensure each manager sees only authorized data. Dashboard prompts can provide a common interactive filtering experience, while row-level or role-based security must enforce the actual access boundary.
Oracle Analytics supports application-role-based filtering so that different users opening shared analytics content see only the data applicable to their assigned role. Oracle also supports object and data-access permissions through application roles and semantic-model security. This means the organization can maintain one dashboard instead of creating separate copies for every regional manager.
It is important to distinguish functionality from security: a dashboard prompt alone isn't an authorization mechanism . The security filtering component must enforce which regional data each manager is entitled to access. The prompt can then support user interaction within that permitted dataset.
Duplicating dashboards increases maintenance effort and creates version drift. Separate subject areas for each individual manager are also unnecessarily complex, while static PDF exports eliminate interactive analytics.
Therefore, D is the maintainable architecture: one dashboard, shared interaction design, and centrally enforced security filtering .
Reference Topic: Designing, Creating, and Enhancing Dashboards - Shared Dashboard Design and Security Filtering
NEW QUESTION # 64
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?
Answer: D
Explanation:
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
NEW QUESTION # 65
An author wants to change a column heading and control whether repeated values display in the results.
Which two column formatting features should the author use?
Answer: B,D
Explanation:
The required capabilities are both available through Column Properties # Column Format . Custom Headings allows the report author to override the default folder or column heading presented in the analysis.
This affects the displayed label without modifying the underlying semantic-model column definition. Oracle also permits variables and formatting to be incorporated into custom heading values where appropriate.
Value Suppression controls how consecutive duplicate values are displayed. When the same attribute value occurs repeatedly in adjacent result rows, suppression can display the value only once instead of repeating it on every row. This improves readability in analyses containing grouped or naturally repetitive dimensional data.
Content Paging concerns result retrieval and rendering rather than headings or duplicates. Fixed Headers keeps headings visible during scrolling but does not rename them. Save as Default has a different purpose and does not directly meet either stated requirement.
Oracle's documentation explicitly associates Custom Headings and Value Suppression with the Column Format tab, directly validating B and C.
Reference Topic: Managing and Creating Analyses, Views, and Content - Column Properties and Column Formatting
NEW QUESTION # 66
A BI developer creates a reusable analysis that should be available to multiple departments while maintaining centralized security. Where should the analysis normally be stored?
Answer: B
Explanation:
A reusable enterprise analysis intended for multiple departments should normally be stored in a Shared Folder within the Oracle Analytics Catalog. Shared Folders are designed for analytics content that needs to be consumed collaboratively and governed through centrally managed permissions.
Oracle recommends storing shared analytics objects in Shared Folders and assigning appropriate access rights to users or application roles. Administrators can create a structured shared-folder hierarchy and configure folder-level permissions so that contained objects inherit the required access controls. This is substantially easier to govern than maintaining separate copies of an analysis for individual users or departments.
By contrast, My Folders/personal folders are intended for content belonging to an individual user and aren't the appropriate location for enterprise-wide reusable objects. Browser storage and temporary caches aren't catalog repositories and provide neither durable analytics-content management nor centralized authorization.
A Shared Folder therefore enables the same analysis to be maintained once while granting departments the appropriate read, modify, or other access rights through catalog security.
Accordingly, option A provides the appropriate combination of reuse, centralized management, and security .
Reference Topic: Managing and Creating Analyses, Views, and Content - Shared Catalog Folders
NEW QUESTION # 67
Which two statements describe form fields in Template Builder?
Answer: A,E
Explanation:
Microsoft Word form fields are a fundamental mechanism used by Oracle Analytics Publisher Template Builder to associate an RTF layout with the report's XML data and Publisher processing instructions. A form field can reference an element from the report data definition so that the associated value is placed dynamically into generated output.
Form fields can also contain BI Publisher processing instructions . For example, Template Builder uses form fields to represent constructs such as for-each processing, grouping, repeating rows, conditional processing, and other layout directives. Oracle's Template Builder configuration documentation specifically describes generating form fields for processing instructions and supports descriptive or abbreviated representations to make the RTF template easier to understand.
Form fields don't eliminate the value of sample XML data; Template Builder uses sample data to expose the available data structure and support previewing. They aren't limited to Word charts, nor are they an Excel- only technology. Option F is directly contrary to their purpose because Publisher commands and processing instructions are precisely what many form fields contain.
Therefore, form fields serve both data-field mapping and layout/processing-instruction embedding , making A and B correct.
Reference Topic: Building and Formatting Reports Using Layout Editor and Template Builder - RTF Form Fields
NEW QUESTION # 68
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