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Oracle 1z0-1177-26 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Governance, Security, and Administration25%- User and Access Governance
  • 1. Implement row-level security and data access policies
    • 2. Manage users, roles, and permissions
      - Content Lifecycle Management
      • 1. Govern content publishing and versioning
        • 2. Manage workspaces and content promotion
          Topic 2: Advanced Analytics and Insights15%- Augmented Analytics Features
          • 1. Use Explain, Auto Insights, and statistical functions
            Topic 3: Visualization and Reporting20%- Dashboards and Workbooks
            • 1. Design governed visualizations and reports
              • 2. Apply storytelling, narration, and interactivity
                Topic 4: Data Modeling and Semantic Design30%- Semantic Model Design
                • 1. Build semantic models with subject areas
                  • 2. Define logical joins, calculated columns, hierarchies
                    - Data Source Connections and Integration
                    • 1. Manage datasets and data preparation
                      • 2. Connect to various data sources
                        Topic 5: Deployment and Operational Governance10%- Content Publishing and Scheduling
                        • 1. Schedule reports and govern distribution

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                          Oracle Governed Analytics Professional with Oracle Analytics Cloud Sample Questions (Q90-Q95):

                          NEW QUESTION # 90
                          A BI architect wants sensitive salary values to be visible only to authorized users even though everyone can access the report layout. Which approach provides the best protection?

                          Answer: A

                          Explanation:
                          Sensitive salary information must be protected through data-level authorization , not merely hidden through visual formatting. The supplied source therefore correctly identifies security applied to the report's data access together with appropriate user or role permissions as the strongest approach.
                          Oracle Publisher security separates access to functionality, catalog objects, and data sources. Roles can be granted or denied access to particular data sources, while catalog permissions determine who may read or execute report objects. For more granular row-level protection, Publisher can also work with database- enforced mechanisms such as Virtual Private Database policies, as covered elsewhere in the source.
                          Conditional Formatting is only a presentation mechanism. Hiding a salary column visually doesn't constitute access control if the unauthorized data is still retrieved or otherwise available in report output. Personal Folders restrict catalog sharing but aren't a scalable data-security architecture, and disabling scheduling doesn't affect online access to salary information.
                          Accordingly, security should be applied at the data-access/data-model layer and reinforced with role- based permissions , making A the correct answer.
                          Reference Topic: Managing and Securing Oracle Analytics Publisher - Data Access Security and Report Authorization


                          NEW QUESTION # 91
                          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: E

                          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 # 92
                          An administrator is configuring a delivery agent. The agent should deliver content to selected devices instead of using the user's active delivery profile, and the scheduled analysis run should seed the cache. Which two destination settings match these requirements?

                          Answer: B,E

                          Explanation:
                          For device delivery, Oracle Analytics distinguishes between Active Delivery Profile and Specific Devices .
                          Active Delivery Profile lets each user determine delivery behavior through personal delivery preferences.
                          When the Agent must instead target explicitly chosen device types, the author selects Specific Devices and identifies the permitted devices. This satisfies the requirement to avoid reliance on the user's active profile.
                          For cache seeding, Oracle documents a dedicated Agent workflow. After choosing the analysis or dashboard page and establishing recipients, the administrator clears ordinary user destinations and selects the Analytics Server/BI Server Cache destination. Scheduled execution then populates the query cache using the results generated by the Agent.
                          The terminology in the question uses Oracle BI Server Cache , while current Oracle Analytics Server documentation refers to Oracle Analytics Server Cache ; functionally, this is the same cache-seeding destination represented by option E.
                          Selecting Never wouldn't schedule cache seeding. Home Page and Dashboard creates analytics alerts rather than restricting delivery to email devices. Active Delivery Profile does the opposite of the requirement, and Printer isn't the standard cache-seeding destination.
                          Therefore, the correct selections are Specific Devices and Oracle BI Server Cache .
                          Reference Topic: Managing Administration, Security, and Performance - Agent Destinations and Cache Seeding


                          NEW QUESTION # 93
                          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: A,F

                          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 # 94
                          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: D

                          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 # 95
                          ......

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