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| Section | Weight | Objectives |
|---|---|---|
| Alarms and Notifications | 25% | - Alarm configuration, thresholds, and status - Notifications service and integration patterns |
| OCI Monitoring and Metrics | 30% | - Monitoring service concepts and metrics collection - Metric queries, dashboards, and visualization |
| Application Performance Monitoring and Distributed Tracing | 20% | - Distributed tracing, diagnostics, and troubleshooting - APM setup, instrumentation, and end-user monitoring |
| Logging and Log Analytics | 25% | - Logging Analytics: ingestion, parsing, and analytics - OCI Logging service and log management |
>> Oracle 1z0-1111-26テストトレーニング <<
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質問 # 63
Choose two FluentD scenarios that apply when using continuous log collection with client-side processing.
(Choose two.)
正解：A、C
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 # 64
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?
正解：A
解説：
An MQL query for an alarm must evaluate a condition:
* (CpuUtilization[1m].max() > 80).grouping().sum() (B):
* CpuUtilization[1m]: Queries CPU utilization over 1-minute intervals.
* .max(): Takes the maximum value per interval.
* > 80: Sets a threshold (80%).
* .grouping().sum(): Aggregates across metric streams, triggering the alarm if the sum exceeds
80%. This is a complete alarm query.
* Why not A, C, or D?
* A: Filters by shape but lacks a threshold or alarm condition.
* C: Missing condition for alarming.
* D: No threshold; case sensitivity doesn't match OCI convention.
B ensures threshold-based alerting.
Reference: Creating Alarms with MQL
質問 # 65
Why do dedicated Vantage Points matter? Select two reasons that apply. (Choose two.)
正解：A、D
解説：
In OCI APM's Synthetic Monitoring, Vantage Points are locations from which synthetic tests (e.g., HTTP requests) are run. Dedicated Vantage Points are private, user-managed instances, distinct from public ones hosted by Oracle:
* Applications on-premise or on secured network cannot be tested from a public Vantage Point (B):
Public Vantage Points, located in Oracle-managed regions, lack access to private networks (e.g., on- premise servers or firewalled applications). Dedicated Vantage Points, deployed within a user's network, overcome this limitation.
* Test internal customer applications (C): Dedicated Vantage Points enable testing of internal applications (e.g., intranet sites) not exposed to the public internet, ensuring performance monitoring from within the secured environment.
* Why not A or D?
* Test from public Vantage Point (A): Contradicts B; public Vantage Points can't access private networks.
* Test Deployment Manager and Scheduler (D): These are unrelated OCI components, not Synthetic Monitoring targets.
Dedicated Vantage Points extend monitoring to restricted environments.
Reference: Synthetic Monitoring Vantage Points
質問 # 66
Which two statements describe the roles of topics and subscriptions in OCI Notifications?
正解：B、C
解説：
OCI Notifications implements a publish-subscribe messaging model. A topic is a communication channel to which producers publish messages. Each topic can have one or more subscriptions, and every subscription identifies an endpoint that receives messages published to that topic. Supported endpoint types include email, SMS, HTTPS custom URLs, OCI Functions, and supported messaging integrations. Topics do not define the message format and are not used to create network-security policies. Similarly, subscriptions are not groups of resources monitored by OCI Monitoring. Monitoring alarms, Events rules, service connectors, applications, or users can publish messages to a topic, after which Notifications delivers those messages to the topic's subscriptions. Therefore, subscriptions represent receiving endpoints, while topics provide the shared communication channel through which messages are distributed. Oracle documentation
質問 # 67
Which statement is true about OCI Logging versus OCI Logging Analytics?
正解：A
解説：
OCI Logging is a fully managed service that centralizes service logs, custom logs, and other logs generated by OCI resources. It supports log enablement, management, searching, and integration with services such as Service Connector Hub, Functions, Streaming, Monitoring, and Notifications. OCI Logging Analytics provides broader analytical capabilities for logs originating from OCI, on-premises infrastructure, and multicloud environments. It can index, enrich, aggregate, correlate, visualize, and monitor log data while applying machine learning techniques for clustering, anomaly detection, and operational analysis. Logging Analytics is therefore not the same service as OCI Logging, and OCI Logging is not limited to archiving.
Option C most accurately distinguishes the operational log-management service from the advanced log- analysis platform. Oracle documentation
質問 # 68
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