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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Monitor distributed components of an application stack | 7% | - Analyze discovering resources and monitoring with metrics - Identify the key concepts of Stack Monitoring |
| Topic 3: Respond to cloud resource changes in real-time | 10% | - Respond to Events and integration with OCI services - Analyze the key concepts of Events Service - Determine Event Structure, Event Types and Rules |
| Topic 4: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Topic 5: Identify log data patterns and create visualizations for advanced analytics | 22% | - Explore log ingestion methods for Logging Analytics - Present advanced analytics and features for troubleshooting - Analyze, search, filter and visualize logs - Distinguish the key concepts of Logging Analytics |
| Topic 6: Monitor cloud environments with metrics and alarms | 18% | - Discuss enabling Metrics for monitoring OCI resources - Configure Alarm Definitions using best practices - Explain the key concepts of Monitoring Service |
| Topic 7: Centrally manage and visualize log data | 16% | - Create Connectors for Log Transitions - Explore managing and searching logs from the entire log estate - Distinguish log categories and enable log collection from sources |
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質問 # 76
What happens in Stack Monitoring after Management Agents are set up and resources are discovered?
正解：D
質問 # 77
What happens in Stack Monitoring after Management Agents are set up and resources are discovered?
正解：D
解説：
In OCI Stack Monitoring, once Management Agents are deployed and resources (e.g., databases, applications) are discovered, the immediate next step is the collection of metric data.
* Metric data is immediately collected (A): Management Agents are lightweight processes that continuously collect performance and health metrics from discovered resources (e.g., CPU usage, memory utilization) and send them to OCI services like Monitoring or Stack Monitoring. This data becomes available for visualization and analysis right after discovery.
* Why not B, C, or D?
* Alarm rules (B): Alarms are configured separately in the OCI Monitoring service and only trigger after metric data is collected and thresholds are breached-not an immediate post-discovery action.
* Resource discovery (C): Discovery happens before this stage, as the question assumes resources are already discovered. Agents don't rediscover resources post-setup.
* Notifications (D): Notifications require separate configuration (e.g., via the Notifications service) and are not an automatic outcome of agent setup and discovery.
This aligns with Stack Monitoring's purpose of providing real-time visibility into resource performance.
Reference: Stack Monitoring Overview , Management Agent
質問 # 78
You have configured an Alarm Definition in the Oracle Cloud Infrastructure (OCI) Monitoring service to send notifications through email. The alarm should resend notifications at specified intervals if the alarm continues to be in the firing state. A subscriber in the Notifications Topic complains about not receiving multiple emails upon failures. Which of the following could be the possible cause of this issue?
正解：C
質問 # 79
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)
正解：B、D
解説：
The Observability Lakehouse in Operations Insights is a data repository for operational analytics:
* Enables custom analytics (B): Supports trending (e.g., usage patterns), forecasting (e.g., resource needs), capacity planning, and workload profiling using advanced analytical tools, enhancing resource optimization.
* Allows Oracle Enterprise Manager's data (D): Integrates operational data from Enterprise Manager (e.
g., database metrics) for use cases like performance analysis and anomaly detection.
* Why not A or C?
* Statistical analysis of AI data (A): Too vague; Lakehouse focuses on operational data, not AI- specific stats.
* Identifies future resource usage (C): Partial benefit of B, but not a standalone feature.
These capabilities improve operational decision-making.
Reference: Operations Insights Observability Lakehouse
質問 # 80
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)
正解：A、B
解説：
A Log Source in Logging Analytics defines how logs are collected and processed:
* Which Parsers to use (A): Specifies the parsers (e.g., Syslog, JSON) that extract fields from logs, enabling structured analysis.
* Where to find Logs (C): Defines the log location (e.g., file path /var/log/messages, database connection string), directing the collection process.
* Why not B or D?
* Where to store Log data (B): Storage is managed by Logging Analytics, not defined in the Source.
* Which Management Agents to use (D): Agents are associated with Entities, not specified in the Source.
These elements configure log ingestion effectively.
Reference: Logging Analytics Log Sources
質問 # 81
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