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Oracle 1z0-1111-26 Exam Syllabus Topics:

SectionWeightObjectives
Define the pillars of Observability7%- Summarize OCI Observability and Management Services
Monitor distributed components of an application stack7%- Analyze infrastructure and application metrics
- Discover and monitor distributed application components
- Use Stack Monitoring
Respond to cloud resource changes in real-time10%- Analyze the key concepts of Events Service
- Determine Event Structure, Event Types and Rules
- Respond to Events and integration with OCI services
Centrally manage and visualize log data16%- Collect, search and analyze log data
- Manage logs using OCI Logging
- Configure logging and log connectors
Monitor cloud environments with metrics and alarms18%- Explain the key concepts of Monitoring Service
- Discuss enabling Metrics for monitoring OCI resources
- Configure Alarm Definitions using best practices
Monitor applications with deep visibility into end-user experience20%- Analyze application performance and end-user experience
- Configure application instrumentation and data collection
- Use Application Performance Monitoring
Identify log data patterns and create visualizations for advanced analytics22%- Search, filter and visualize log data
- Perform advanced log analytics and troubleshooting
- Use Logging Analytics for log ingestion and analysis

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Oracle Cloud Infrastructure Observability Professional Sample Questions (Q90-Q95):

NEW QUESTION # 90
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?

Answer: D

Explanation:
Creating an alarm query in OCI Monitoring involves MQL:
* Invalid: You must specify a resource group (D): Resource groups (e.g., groupBy(resourceId)) are optional for aggregating metrics across streams; alarms can function without them.
* Why A, B, and C are valid:
* A: A statistic (e.g., max, avg) is required to process metric data.
* B: An interval (e.g., [1m]) defines the time window, mandatory for evaluation.
* C: A metric (e.g., CpuUtilization) is the core of the query.
Resource groups enhance, but aren't required for, alarms.
Reference: MQL for Alarms


NEW QUESTION # 91
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?

Answer: B

Explanation:
The performance management feature in Database Management leverages AWR data:
* Visualizes and performs trend analysis from AWR data to detect issues using AWR Explorer (B): AWR Explorer displays Automatic Workload Repository data, enabling trend analysis and issue detection (e.
g., performance bottlenecks).
* Why not A or C?
* A: Stats gathering is manual or scheduled, not automatic in this context.
* C: Parameter changes require user intervention, not dynamic automation.
AWR Explorer is key for performance insights.
Reference: AWR Explorer


NEW QUESTION # 92
What is enabled by the SQL Warehouse application within Operations Insights?

Answer: C

Explanation:
The SQL Warehouse in Operations Insights focuses on SQL-level analysis:
* Insights into the SQL performance (A): Provides a centralized repository of SQL performance data (e.
g., execution time, resource usage) from monitored databases, enabling detailed analysis and optimization.
* Why not B, C, or D?
* Trend and Forecast (B): Handled by Capacity Planning in Operations Insights, not SQL Warehouse.
* Consolidated Databases (C): A misnomer; it's about data, not database consolidation.
* Reduced costs (D): An outcome, not a direct feature.
SQL Warehouse enhances database performance visibility.
Reference: SQL Warehouse


NEW QUESTION # 93
What happens in Stack Monitoring after Management Agents are set up and resources are discovered?

Answer: B


NEW QUESTION # 94
How does Application Performance Monitoring track all related spans for a single user request?

Answer: A

Explanation:
APM tracks request flows using:
* Using Trace ID (A): A unique identifier assigned to a trace (collection of spans) for a single user request. Propagated via HTTP headers, it links all spans across services.
* Why not B or C?
* User ID (B): Identifies users, not request flows.
* Application Name (C): Too broad; doesn't correlate specific requests.
Trace ID ensures end-to-end visibility in distributed systems.
Reference: Traces and Spans


NEW QUESTION # 95
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