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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 2: Monitor applications with deep visibility into end-user experience | 20% | - Analyze application performance and end-user experience - Configure application instrumentation and data collection - Use Application Performance Monitoring |
| Topic 3: Centrally manage and visualize log data | 16% | - Manage logs using OCI Logging - Configure logging and log connectors - Collect, search and analyze log data |
| Topic 4: 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 |
| Topic 5: 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 |
| Topic 6: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Topic 7: Monitor distributed components of an application stack | 7% | - Discover and monitor distributed application components - Use Stack Monitoring - Analyze infrastructure and application metrics |
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問題 #48
Which Logging Analytics concept represents an asset on your host that could provide log data?
答案：C
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 #49
Which pillars of Observability are available as a single view from the Dashboard?
答案：D
解題說明：
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
問題 #50
Which option describes how to enable secure communication between OCI Notifications and an email endpoint?
答案：C
解題說明：
When an email subscription is created for an OCI Notifications topic, Notifications sends a confirmation message containing a confirmation URL to the specified email endpoint. The subscription remains in the PENDING state and cannot receive regular topic messages until the recipient opens the URL and confirms the subscription. This confirmation process verifies that the recipient controls the email address and agrees to receive notifications from the topic. The confirmation URL remains valid for three days. An API Gateway is not required for an email subscription, and users do not configure an SMTP integration because OCI Notifications manages email delivery. Encryption at rest protects stored service data but does not establish or authorize the connection to an individual email endpoint. Therefore, confirming the email subscription is the required step. Oracle documentation
問題 #51
What does the interval component do in a Monitoring Query Language expression?
答案：A
解題說明：
In an MQL expression such as CpuUtilization[5m].max(), the value inside square brackets is the interval. It specifies the time-window length over which raw metric data points are aggregated before the selected statistic is calculated. With a five-minute interval, for example, each aggregated data point represents the raw observations evaluated within a five-minute window. The statistic following the interval, such as max(), mean(), or sum(), determines how those observations are combined. Interval does not configure alarm suppression, maintenance windows, or query-execution delays. It is also distinct from resolution, which represents the period between consecutive time windows or the frequency at which aggregated results are returned. Therefore, option A correctly describes the interval's role in an MQL expression. Oracle documentation
問題 #52
You are part of a team that manages a set of workload instances running in an on-premises environment. The Architect team is tasked with designing and configuring Oracle Cloud Infrastructure (OCI) Logging service to collect logs from these instances. There is a requirement to archive Info-level logging data of these instances into OCI Object Storage. Which two features of OCI can help you achieve this? (Choose two.)
答案：B,C
解題說明：
To collect logs from on-premises instances and archive Info-level logs in OCI Object Storage, you need tools for log ingestion and data movement:
* Service Connectors (A): This feature enables data transfer from OCI Logging (source) to Object Storage (target). You can configure a service connector with a filter (e.g., log level = Info) to archive only Info-level logs.
* ObjectCollection Rule (D): Part of Logging Analytics, this rule collects logs from Object Storage buckets into Logging Analytics for analysis. If logs are first written to Object Storage by an agent, this rule ensures continuous ingestion.
* Why not B or C?
* Agent Configuration (B): Used to set up Management Agents but doesn't handle archiving to Object Storage.
* Cloud Agent Plugin Grouping Function (C): This is not a valid OCI feature.
The workflow involves agents sending logs to Logging, Service Connectors filtering and moving them to Object Storage, and ObjectCollection Rules enabling further analysis.
Reference: Service Connector Hub , ObjectCollection Rule
問題 #53
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