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Oracle 1z0-1111-26 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Respond to cloud resource changes in real-time | 10% | - Determine Event Structure, Event Types and Rules - Respond to Events and integration with OCI services - Analyze the key concepts of Events Service |
| Monitor distributed components of an application stack | 7% | - Identify the key concepts of Stack Monitoring - Analyze discovering resources and monitoring with metrics |
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Centrally manage and visualize log data | 16% | - Distinguish log categories and enable log collection from sources - Create Connectors for Log Transitions - Explore managing and searching logs from the entire log estate |
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Analyze, search, filter and visualize logs - Present advanced analytics and features for troubleshooting - Distinguish the key concepts of Logging Analytics - Explore log ingestion methods for Logging Analytics |
| Monitor applications with deep visibility into end-user experience | 20% | - Examine visualizing and analyzing performance data - Explore the key concepts of Application Performance Monitoring (APM) - Instrument applications for data collection |
| Monitor cloud environments with metrics and alarms | 18% | - Explain the key concepts of Monitoring Service - Configure Alarm Definitions using best practices - Discuss enabling Metrics for monitoring OCI resources |
Oracle Cloud Infrastructure Observability Professional Sample Questions:
How does Application Performance Monitoring track all related spans for a single user request?
- A. Using Application Name
- B. Using User ID
- C. Using Trace ID
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Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?
- A. Dynamically modifies database initialization parameters to improve performance
- B. Automatically invokes full stats gathering of objects to improve performance of regressed SQLs
- C. Visualizes and performs trend analysis from AWR data to detect issues using AWR Explorer
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Which statement is true about OCI Logging versus OCI Logging Analytics?
- A. [No fourth option was provided in the source document.]
- B. Logging is used for archiving logs, whereas Logging Analytics is used exclusively for log correlation and machine learning.
- C. Logging is used for collecting, storing, managing, and searching log data, whereas Logging Analytics provides advanced capabilities for analyzing and interpreting log data.
- D. Logging and Logging Analytics are the same OCI service used for log collection.
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As an OCI administrator, you must manage logs from multiple departments, such as HR, Sales, and IT Security. Each department uses different cloud resources but requires centralized logging through the OCI Logging service. What must you do to best meet this requirement?
- A. Combine all logs into a single log group to minimize management overhead and simplify the logging infrastructure.
- B. Configure log groups to segregate logs based on event type, such as errors or access logs, for use by the departments.
- C. Set up separate log groups based on each cloud resource used by the departments.
- D. Create separate log groups for each department and enable access controls while keeping the logs organized in their respective groups.
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A cloud operations team is using LoganAI to analyze large volumes of log data ingested into OCI Log Analytics. Which two LoganAI capabilities support this analysis?
- A. Migrating logs automatically across OCI regions.
- B. Providing context-aware follow-up questions for interactive investigation.
- C. Automatically provisioning Log Analytics sources.
- D. Generating summaries for individual logs, groups of logs, clusters, and supported charts.
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