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Oracle 1z0-1177-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Exploring and Creating Reports and Data Models in Oracle Analytics Publisher | 5% | - Creating reports - Creating and managing data models |
| Designing, Creating, and Enhancing Dashboards in Oracle Analytics | 10% | - Creating and designing dashboards - Dashboard prompts and pages - Enhancing dashboards and briefing books |
| Managing and Creating Analyses, Views, and Content in Oracle Analytics | 10% | - Creating and managing analyses - Creating and managing views - Managing analytics content |
| Building and Formatting Reports Using Layout Editor and Template Builder | 15% | - Using RTF Template Builder - Formatting and customizing reports - Using Layout Editor - Creating Excel and eText templates |
| Formatting Data and Managing Filters, Selection Steps, and Variables in Oracle Analytics | 10% | - Formatting data - Using prompts and variables - Managing filters - Managing selection steps |
| Understanding Oracle Analytics Cloud | 5% | - Oracle Analytics Cloud concepts and capabilities |
| Managing Report Scheduling, Data Sources, Administration, and Translations in Oracle Analytics Publisher | 15% | - Bursting and delivery - Scheduling reports - Report translations - Publisher administration - Managing report data sources |
| Managing Administration, Security, and Performance in Oracle Analytics Cloud | 10% | - Performance and caching - Administration - Security and application roles |
| Connecting to Data Sources and Migrating Artifacts to Oracle Analytics Cloud | 10% | - Connecting to data sources - Migrating analytics artifacts |
| Managing and Securing Oracle Analytics Publisher in Oracle Analytics Cloud | 10% | - Managing Oracle Analytics Publisher - Securing Publisher content and access |
Oracle Governed Analytics Professional with Oracle Analytics Cloud Sample Questions:
Question 1
What happens when a user drills on an attribute column in the Analysis Editor?
A. Drill operations automatically create dashboard prompts
B. The underlying query remains unchanged in every drill scenario
C. Filters are created, and more columns are added to the Criteria tab
D. Named filters are saved to the catalog for reuse in other analyses
E. The query is aggregated before the drill filter is evaluated
Question 2
An administrator wants to minimize the impact of frequently executed analytical queries on the underlying database while maintaining acceptable response times. Which combination provides the best solution?
A. Disable caching and increase session timeouts.
B. Schedule every analysis to run every minute.
C. Create duplicate subject areas.
D. Configure query caching and optimize the semantic model.
Question 3
A development team has completed new dashboards and BI Publisher reports. Before deploying them to production, they need a repeatable migration process that preserves dependencies and configuration. Which approach is recommended?
A. Export and import content using BAR files.
B. Export only report layouts as PDF files.
C. Copy catalog folders manually.
D. Recreate all dashboards directly in production.
Question 4
Which statement describes the purpose of Virtual Private Database (VPD) in a secure reporting approach?
A. It creates a separate salary report for each employee who opens the report
B. It lets Publisher filter data after the database returns all report rows
C. It provides row-level security so users see only the data that is relevant to them
D. It grants multiple users access to a single schema without restricting rows
E. It controls report access by assigning roles to folders in the catalog
Question 5
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?
A. Create a separate dashboard for every business unit.
B. Apply dashboard prompts that users must configure manually each time.
C. Store separate copies of the subject area for each executive.
D. Implement data security using application roles and row-level security within the semantic model.
Solutions:
| Question 1 Answer: C | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: D |
