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| Section | Weight | Objectives |
|---|---|---|
| Centrally manage and visualize log data | 16% | - Collect, search and analyze log data - Configure logging and log connectors - Manage logs using OCI Logging |
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Monitor distributed components of an application stack | 7% | - Discover and monitor distributed application components - Use Stack Monitoring - Analyze infrastructure and application metrics |
| Monitor cloud environments with metrics and alarms | 18% | - Discuss enabling Metrics for monitoring OCI resources - Explain the key concepts of Monitoring Service - Configure Alarm Definitions using best practices |
| 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 |
| Monitor applications with deep visibility into end-user experience | 20% | - Analyze application performance and end-user experience - Use Application Performance Monitoring - Configure application instrumentation and data collection |
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Perform advanced log analytics and troubleshooting - Search, filter and visualize log data - Use Logging Analytics for log ingestion and analysis |
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問題 #31
In Application Performance Monitoring (APM), where is the span context information located during transfer?
答案：B
解題說明：
In OCI APM, span context (e.g., Trace ID, Span ID) is propagated across services to track requests.
* In HTTP header (B): Span context is embedded in HTTP headers (e.g., X-B3-TraceId) during transfer between services. This allows APM to correlate spans across distributed systems for a single user request.
* Why not A, C, or D?
* Service boundaries (A): This is a conceptual term, not a location for data.
* HTTP call (C): Too vague-"HTTP call" isn't a specific storage location.
* Browser and microservices (D): Context originates here but is transferred via headers, not stored locally during transit.
This follows the OpenTracing standard used by OCI APM.
Reference: APM Traces and Spans
問題 #32
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)
答案：A,B
解題說明：
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
問題 #33
Which two are use cases of Oracle Cloud Infrastructure (OCI) Events Service? (Choose two.)
答案：B,D
解題說明：
The OCI Events Service enables event-driven automation by reacting to changes in OCI resources. Two valid use cases are:
* Process files when they are uploaded in an Object Storage bucket (A): You can create an event rule to trigger an action (e.g., invoking an Oracle Function) when an object is created (com.oraclecloud.
objectstorage.createobject). The function could process the file (e.g., image resizing).
* Perform cleanup tasks when an OCI resource is terminated (B): An event rule can detect resource termination (e.g., com.oraclecloud.computeapi.terminateinstance.end) and trigger a function to clean up associated resources (e.g., delete volumes).
* Why not C or D?
* Migrate Events (C): Events Service doesn't "migrate" events; it triggers actions. Migration is more aligned with Service Connector Hub.
* Configuration management (D): This is handled by services like Resource Manager or Ansible, not Events Service.
These use cases showcase the service's ability to automate workflows based on resource state changes.
Reference: Events Service Use Cases
問題 #34
Which Logging Analytics concept represents an asset on your host that could provide log data?
答案：A
解題說明：
In OCI Logging Analytics, a Source defines the origin of log data from an asset on a host.
* Source (B): Represents a log-generating asset (e.g., a file, database audit log, or Windows event log), specifying its location, format, and collection frequency. It's associated with an Entity to enable log ingestion and parsing.
* Why not A, C, or D?
* Association (A): Links a Source to an Entity, not the asset itself.
* Entity (C): A logical representation of a resource (e.g., a host), not the log source.
* Parser (D): Extracts fields from logs, not the asset providing data.
Sources are foundational to log collection in Logging Analytics.
Reference: Logging Analytics Sources
問題 #35
Your team has been tasked with debugging a Cloud Native application developed using the following Oracle Cloud Infrastructure (OCI) services: Object Storage, Events, Functions, API Gateway, and Autonomous Database. Which of these is NOT a valid option for troubleshooting issues in OCI?
答案：D
解題說明：
Troubleshooting a cloud-native app leverages OCI observability tools:
* Invalid: Leverage OCI Cloud Guard to extract and visualize debug logs (D): Cloud Guard is a security posture management and threat detection service, not designed for extracting or visualizing application debug logs.
* Why A, B, C, and E are valid:
* A: Monitoring provides service metrics (e.g., Function invocation latency).
* B: Service Connector moves logs to Logging Analytics for analysis.
* C: APM traces Functions performance issues.
* E: Logging Service collects app logs directly.
Cloud Guard focuses on security, not debugging.
Reference: Cloud Guard
問題 #36
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