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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Alarms and Notifications | 25% | - Notifications service and integration patterns - Alarm configuration, thresholds, and status |
| Topic 2: OCI Monitoring and Metrics | 30% | - Monitoring service concepts and metrics collection - Metric queries, dashboards, and visualization |
| Topic 3: Logging and Log Analytics | 25% | - OCI Logging service and log management - Logging Analytics: ingestion, parsing, and analytics |
| 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 # 67
Which is an example of Log Sources in Logging Analytics?
正解：C
解説：
In OCI Logging Analytics, Log Sources are predefined parsers that extract fields from specific types of log data, enabling structured analysis.
* Windows Events, Syslog Listener, and Database SQL parsers (B): These are examples of Log Sources in Logging Analytics. Each represents a specific log type with a predefined parser:
* Windows Events: Parses event logs from Windows systems (e.g., security, application logs).
* Syslog Listener: Handles logs in the Syslog format, common in Unix-based systems or network devices.
* Database SQL parsers: Extracts fields from database logs (e.g., Oracle Database audit logs).
These sources come with built-in field mappings and labels for analysis.
* Why not A, C, or D?
* Long, Integer, String fields (A): These are data types, not Log Sources.
* File, Database, Windows Events System, Syslogs (C): While close, this mixes log locations (e.g., File, Database) with source types and isn't a precise match to predefined Log Sources.
* JSON, XML, CSV files (D): These are file formats, not Log Sources; Logging Analytics can parse them but they're not predefined sources.
Log Sources streamline log ingestion by providing out-of-the-box parsing for common log types.
Reference: Logging Analytics Log Sources
質問 # 68
Which Management Agent group allows the agent to upload data to the discovery service?
正解：C
解説：
Management Agents require group membership and policies to interact with OCI services:
* AgentUsersGrp (A): A predefined dynamic group for all Management Agents in a tenancy. With an attached policy granting upload permissions (e.g., allow dynamic-group AgentUsersGrp to use discovery-service-family in tenancy), agents can send data to the discovery service for resource detection.
* Why not B, C, or D?
* B and C: Specific to Stack Monitoring roles, not general agent uploads.
* D: A generic name, not a predefined OCI group.
AgentUsersGrp is the standard for this purpose.
Reference: Management Agent Policies
質問 # 69
Which is NOT an alarm state in OCI Monitoring?
正解：C
解説：
An OCI Monitoring alarm normally reports an OK state when its configured trigger condition is not satisfied and a Firing state when the condition has been satisfied for the required trigger delay. "Pending" is not an externally reported alarm state. During evaluation, a potential transition can be internally pending while OCI waits for the configured trigger delay to elapse, but the alarm continues to report its current state-commonly OK-until the transition criteria are fully met. Oracle's troubleshooting example explicitly shows evaluations whose status changes are internally pending while the displayed alarm status remains OK. Once the required consecutive evaluations are satisfied, the status changes to Firing. Thus, pending describes an internal transition condition rather than an alarm state exposed by OCI Monitoring. Oracle documentation
質問 # 70
You are part of an organization with thousands of users accessing Oracle Cloud Infrastructure (OCI). An unknown user action was executed, resulting in configuration errors. You are tasked to quickly identify the details of all users who were active in the last six hours along with any REST API calls that were executed.
Which OCI service would you use?
正解：C
解説：
To investigate user activity and REST API calls over the last six hours, the OCI Audit service is the appropriate tool.
* Audit (E): This service automatically records all API operations (including REST API calls) performed on OCI resources. It provides detailed logs with user details, timestamps, and actions, ideal for security and compliance investigations. You can filter audit logs by time range (e.g., last six hours) and user attributes.
* Why not A, B, C, or D?
* Notifications (A): Sends alerts but doesn't store or analyze API call details.
* Service Connectors (B): Moves data between services, not for auditing.
* Management Agent (C): Collects metrics/logs from resources, not API audit data.
* Logging (D): Handles application and system logs, not API activity tracking.
Audit logs are retained for 90 days by default, making this a perfect fit.
Reference: OCI Audit Service
質問 # 71
From the following, select the different metric namespaces used for APM.
正解：C
解説：
APM uses specific metric namespaces to categorize its telemetry data:
* oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring (D):
* oracle_apm_rum: Metrics from Real User Monitoring (e.g., page load times).
* oracle_apm_synthetics: Metrics from Synthetic Monitoring (e.g., test response times).
* oracle_apm_monitoring: Metrics from distributed tracing (e.g., span counts). These namespaces align with APM's three core features.
* Why not A, B, or C?
* A: Individual metric names, not namespaces.
* B: Incomplete and incorrect namespace naming.
* C: Mixes metric types with partial namespace names.
These namespaces enable targeted metric queries in OCI Monitoring.
Reference: APM Metrics
質問 # 72
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