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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Alarms and Notifications | 25% | - Alarm configuration, thresholds, and status - Notifications service and integration patterns |
| Topic 2: Logging and Log Analytics | 25% | - OCI Logging service and log management - Logging Analytics: ingestion, parsing, and analytics |
| Topic 3: OCI Monitoring and Metrics | 30% | - Monitoring service concepts and metrics collection - Metric queries, dashboards, and visualization |
| Topic 4: Application Performance Monitoring and Distributed Tracing | 20% | - Distributed tracing, diagnostics, and troubleshooting - APM setup, instrumentation, and end-user monitoring |
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質問 # 70
What happens in Stack Monitoring after Management Agents are set up and resources are discovered?
正解：C
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 # 71
Which of the following is not a key interaction element in the Log Explorer UI of Logging Analytics?
正解：B
解説：
The Log Explorer UI in OCI Logging Analytics includes four key interaction elements: Fields Panel, Time Picker, Scope Filter, and Results Panel. These allow users to search, filter, and analyze logs interactively.
* Dashboard (D): This is not part of the Log Explorer UI. Dashboards are separate visualizations in Logging Analytics for summarizing data, not an interactive element of the Log Explorer.
* Why A, B, and C are key elements:
* Fields Panel (A): Displays log fields for filtering and analysis.
* Time Picker (B): Sets the time range for log queries.
* Scope Filter (C): Defines the scope (e.g., compartments, log groups) of the log search.
Reference: Log Explorer UI
質問 # 72
Which pillars of Observability are available as a single view from the Dashboard?
正解：C
解説：
OCI Dashboards consolidate the three pillars of observability:
* Logs, Metrics, and Traces (A):
* Logs: Event records from Logging Service.
* Metrics: Numeric data from Monitoring Service.
* Traces: Request flows from APM. These can be visualized together in OCI Dashboards for unified observability.
* Why not B, C, or D?
* B: Resource categories, not pillars.
* C: Tools or components, not pillars.
* D: OCI services, not the core concepts.
This integration enhances system visibility.
Reference: OCI Dashboards
質問 # 73
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)
正解：A、C
解説：
Database Management Service provides advanced database oversight:
* Compare database performance across different time periods or perform real-time monitoring of SQL statements (C): Uses Performance Hub for historical and real-time SQL monitoring.
* Analyze and tune SQL performance issues of Oracle Databases on-premises, OCI, and multi-cloud environments (D): Offers SQL tuning across diverse deployments.
* Why not A or B?
* A and B: Capacity forecasting is an Operations Insights feature, not Database Management.
These actions enhance database performance management.
Reference: Database Management Capabilities
質問 # 74
Choose two FluentD scenarios that apply when using continuous log collection with client-side processing.
(Choose two.)
正解：C、D
解説：
FluentD is an open-source data collector used for continuous log collection with client-side processing in OCI Logging. Two applicable scenarios are:
* Managing apps/services which push logs to Object Storage (A): FluentD can be configured to collect logs from applications or services (e.g., Oracle Functions) that write logs to Object Storage buckets. It processes these logs client-side and forwards them to OCI Logging or Logging Analytics.
* Comprehensive monitoring for OKE/Kubernetes (B): FluentD is widely used in Kubernetes environments like Oracle Container Engine for Kubernetes (OKE) to collect logs from pods, containers, and nodes. It processes these logs locally before sending them to OCI services for analysis.
* Why not C or D?
* Monitoring unsupported systems (C): While possible, this is not a primary FluentD scenario in OCI-it's more about extending Management Agent capabilities.
* Log Source (D): This is a component of Logging Analytics, not a FluentD scenario.
FluentD's flexibility makes it ideal for these use cases in OCI's observability ecosystem.
Reference: FluentD with OCI Logging , OKE Logging
質問 # 75
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