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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Topic 2: Monitor distributed components of an application stack | 7% | - Use Stack Monitoring - Analyze infrastructure and application metrics - Discover and monitor distributed application components |
| Topic 3: 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 |
| Topic 4: Monitor applications with deep visibility into end-user experience | 20% | - Configure application instrumentation and data collection - Use Application Performance Monitoring - Analyze application performance and end-user experience |
| Topic 5: Centrally manage and visualize log data | 16% | - Configure logging and log connectors - Manage logs using OCI Logging - Collect, search and analyze log data |
| Topic 6: Identify log data patterns and create visualizations for advanced analytics | 22% | - Use Logging Analytics for log ingestion and analysis - Search, filter and visualize log data - Perform advanced log analytics and troubleshooting |
| Topic 7: Respond to cloud resource changes in real-time | 10% | - Analyze the key concepts of Events Service - Respond to Events and integration with OCI services - Determine Event Structure, Event Types and Rules |
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NEW QUESTION # 61
What does Apdex (Application Performance Index) measure in OCI Application Performance Monitoring?
Answer: D
Explanation:
Apdex measures perceived user satisfaction with the response times of applications and services. OCI Application Performance Monitoring compares observed request durations with configured Apdex thresholds and classifies the resulting experience as satisfied, tolerating, or frustrated. These classifications contribute to a decimal score between 0 and 1, where a higher value indicates that a greater proportion of requests delivered an acceptable experience. Apdex thresholds are configured at the APM Domain level and may be applied to spans matching specified patterns. The measurement is not a CPU-utilization percentage, a storage-capacity value, or a simple transaction count. Although those measurements may help diagnose application performance, they do not directly represent user satisfaction. Therefore, user satisfaction based on application response-time thresholds is the correct description. Oracle documentation
NEW QUESTION # 62
What are the two capabilities available in Operations Insights? (Choose two.)
Answer: A,B
Explanation:
Operations Insights provides:
* Capacity Planning (A): Forecasts resource needs based on historical trends and scenarios.
* Exadata Insights (D): Analyzes Exadata system performance and capacity.
* Why not B or C?
* Database Fleet Monitoring (B): A goal, not a named capability; covered under broader features.
* Entity Topology Viewing (C): More aligned with Stack Monitoring, not Operations Insights.
These capabilities optimize resource management.
Reference: Operations Insights Overview
NEW QUESTION # 63
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?
Answer: C
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 # 64
Which two are examples of data telemetry sources of Operations Insights? (Choose two.)
Answer: A,D
Explanation:
Operations Insights collects telemetry data for analysis from:
* Management Agent (C): A lightweight process that gathers metrics (e.g., CPU, memory) from hosts, databases, or applications and sends them to Operations Insights.
* Enterprise Manager (D): An on-premises tool that provides database performance and configuration data to Operations Insights.
* Why not A or B?
* OCI Streams (A): A streaming service, not a telemetry source for Operations Insights.
* OCI Functions (B): Serverless compute, not a direct telemetry source.
These sources enable comprehensive resource monitoring.
Reference: Operations Insights Data Sources
NEW QUESTION # 65
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?
Answer: C
Explanation:
The APM Java Agent collects telemetry from Java applications:
* Jaeger or Zipkin (C): These are open-source distributed tracing systems. The Java Agent can integrate with Jaeger- or Zipkin-compatible applications, collecting spans and metrics for APM analysis.
* Why not A, B, or D?
* NginX (A): A web server; APM uses other agents (e.g., Browser Agent) for such systems.
* WebLogic, etc. (B): Application servers, but not direct data sources; the agent collects from the app, not the server type.
* VMware ESXi (D): A hypervisor, unrelated to Java tracing.
Jaeger and Zipkin compatibility extends APM's reach.
Reference: APM Java Agent
NEW QUESTION # 66
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