1z0-1111-26スタディガイドの優れた利点の1つは、高い合格率です。これは99％に達し、同業他社の平均合格率よりもはるかに高くなっています。当社の高い合格率は、当社が業界トップの1z0-1111-26準備ガイドである理由を説明しています。自信の源は、素晴らしい1z0-1111-26試験問題です。 1z0-1111-26学習教材の練習を約20〜30時間続ける限り、試験に合格しても問題はありません。私たちの専門家は、実際の試験問題に合わせて1z0-1111-26の質問と回答を設計しました。これは、高い能力で試験に合格するのに役立ちます。
| Section | Weight | Objectives |
|---|---|---|
| OCI Monitoring and Metrics | 30% | - Monitoring service concepts and metrics collection - Metric queries, dashboards, and visualization |
| Logging and Log Analytics | 25% | - OCI Logging service and log management - Logging Analytics: ingestion, parsing, and analytics |
| Alarms and Notifications | 25% | - Alarm configuration, thresholds, and status - Notifications service and integration patterns |
| Application Performance Monitoring and Distributed Tracing | 20% | - Distributed tracing, diagnostics, and troubleshooting - APM setup, instrumentation, and end-user monitoring |
親愛なるお客様、当社のウェブサイトにある優れた学習教材の助けを借りて試験を受ける準備ができている場合、選択は素晴らしいものになります。 1z0-1111-26トレーニング資料：Oracle Cloud Infrastructure Observability Professionalは優れた選択肢であり、特に時間をかけずに試験に合格し、成功することに熱心な方に役立ちます。 次のように、すばらしい製品を詳細に紹介する自由を考えてみましょう。
質問 # 16
Which two future resource usages are identified by Exadata Warehouse Insights custom analytics under Operations Insights? (Choose two.)
正解：A、B
解説：
Exadata Warehouse Insights in OCI Operations Insights provides advanced analytics to forecast resource usage for Exadata systems.
* Memory (A): Tracks and predicts memory utilization based on historical trends, aiding capacity planning.
* CPU (D): Forecasts CPU usage, helping identify potential bottlenecks or over-provisioning.
* Why not B or C?
* Network usage (B): While monitored, it's not a primary focus of Exadata Warehouse Insights' future usage predictions.
* AIOps (C): This is a methodology, not a resource usage metric.
These forecasts leverage historical data and what-if analysis for proactive management.
Reference: Exadata Warehouse Insights
質問 # 17
You have been asked to run an aggregated query against Oracle Cloud Infrastructure Monitoring data. The query returns the error "query has exceeded the maximum number of metric streams." Which step should you take to run the aggregated query correctly?
正解：A
解説：
This error occurs when a Monitoring query evaluates more metric streams than the service permits.
Dimensions identify characteristics of individual streams, such as resource ID, availability domain, fault domain, or resource display name. Adding appropriate dimension filters narrows the query and reduces the number of streams that must be evaluated. If every stream from the original request must still be analyzed, Oracle recommends distributing the workload across multiple queries. The limit cannot simply be increased from the query, and OCI Monitoring does support aggregation across eligible metric streams. An IAM problem normally produces an authorization error rather than a maximum-stream error, so changing or rechecking the policy does not address this condition. The appropriate corrective action is therefore to restrict the evaluated streams by specifying dimensions. Oracle documentation
質問 # 18
You are working on a project to automate the deployment of Oracle Cloud Infrastructure (OCI) compute instances that are pre-configured with web services. As part of the deployment workflow, you also need to create a corresponding OCI object storage bucket bearing the same name as that of the compute instance.
Which of these two options can help you achieve this requirement? (Choose two.)
正解：B、D
解説：
To automate the creation of an OCI Object Storage bucket with the same name as a compute instance during deployment, you need a mechanism to detect the instance creation event and trigger an action to create the bucket. Two OCI services that can achieve this are Service Connector Hub and Oracle Functions, used in conjunction with the Events Service.
* Service Connector Hub (B): This service acts as a cloud message bus that facilitates data movement between OCI services. You can configure a service connector with the Events Service as the source (to detect compute instance creation events, e.g., com.oraclecloud.computeapi.launchinstance.end) and Oracle Functions as the target. The service connector filters and routes the event to trigger a function.
* Oracle Functions (C): This is a serverless platform that allows you to write and execute code in response to events. You can create a function that retrieves the compute instance name from the event payload and uses the OCI SDK or API to create an Object Storage bucket with the same name.
* Why not A, D, or E alone?
* Cloud Agent Plugin (A): This is used for monitoring and managing compute instances but does not directly support bucket creation automation.
* OCI CLI command (D): The command oci os bucket create auto is not a valid OCI CLI command (oci os bucket create is valid but requires manual invocation or scripting, not event- driven automation).
* Events Service (E): While critical for detecting instance creation, it alone cannot execute the logic to create a bucket-it needs a target like Functions or Notifications.
This solution leverages the event-driven architecture of OCI, combining Events Service (implicitly used with Service Connector Hub) and Oracle Functions for execution.
Reference: OCI Events Service , Service Connector Hub , Oracle Functions
質問 # 19
In OCI Log Analytics, which attribute is used to select parsers for logs collected from OCI services?
正解：B
解説：
An entity type identifies the category of resource that produces the logs, such as an OCI Compute Instance, APM Domain, Load Balancer, Object Storage bucket, or Events service rule. When defining a Log Analytics source, the selected entity type establishes the resource context and helps determine which entities and relevant processing definitions can be associated with that source. The source then includes one or more parsers appropriate for the expected log format. Lookups enrich fields by mapping existing values to additional information, while labels tag records-often to identify problem conditions-during processing.
Fields are the individual values extracted from log entries by a parser. They do not determine which parser should process an OCI service's logs. Among the provided choices, Entity Type is therefore the correct selection attribute. Oracle documentation
質問 # 20
Which is NOT an alarm state in OCI Monitoring?
正解：B
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 # 21
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