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プロフェッショナル1Z0-1111-25日本語版試験解答 &資格試験におけるリーダーオファー &信頼できる1Z0-1111-25日本語pdf問題
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Oracle 1Z0-1111-25 認定試験の出題範囲：
| トピック |
出題範囲 |
| トピック 1 |
- Monitor Cloud Environments with Metrics and Alarms: This section tests Oracle Cloud Operators' knowledge of configuring OCI Monitoring Service. It includes enabling metrics for resource monitoring, setting up alarms based on best practices, and responding to real-time changes in cloud environments to ensure system reliability.
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| トピック 2 |
- Define the Pillars of Observability: This section of the exam measures the skills of Cloud Architects and Site Reliability Engineers (SREs) in understanding the three pillars of observability: logs, metrics, and traces. It explains how these components provide insights into system health and performance, enabling effective monitoring and troubleshooting in distributed cloud environments.
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| トピック 3 |
- Monitor Applications with Deep Visibility into End-User Experience: This domain tests the knowledge of Application Performance Engineers and DevOps Specialists in using OCI Application Performance Monitoring (APM). It includes instrumenting applications for data collection, analyzing performance metrics, visualizing distributed application components, and diagnosing issues across multi-tier architectures.
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| トピック 4 |
- Summarize OCI Observability and Management Services: This section evaluates the expertise of DevOps Engineers and IT Operations Managers in utilizing Oracle Cloud Infrastructure (OCI) Observability and Management services. It covers tools for monitoring, auditing, and managing cloud resources, emphasizing automation and machine learning-driven insights to optimize IT operations.
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| トピック 5 |
- Respond to Cloud Resource Changes in Real-Time: This domain measures the skills of Event Managers and Integration Specialists in using OCI Events Service. It covers event structures, types, rules, and integration with other OCI services to respond effectively to resource changes and automate workflows.
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| トピック 6 |
- Distinguish the Key Concepts of Logging Analytics: This section evaluates the expertise of Data Analysts and Troubleshooting Specialists in using OCI Logging Analytics. It covers log ingestion methods, searching and filtering logs, performing advanced analytics, and leveraging machine learning-powered insights for proactive issue resolution.
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1Z0-1111-25日本語pdf問題、1Z0-1111-25最新試験
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Oracle Cloud Infrastructure 2025 Observability Professional 認定 1Z0-1111-25 試験問題 (Q22-Q27):
質問 # 22
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)
- A. Analyze and tune SQL performance issues of Oracle Databases on-premises, OCI, and multi-cloud environments
- B. Compare database performance across different time periods or perform real-time monitoring of SQL statements
- C. Forecast capacity issues of Oracle Databases in on-premises, OCI, and multi-cloud environments
- D. Forecast capacity issues of your Database services in OCI
正解：A、B
解説：
Database Management Service provides advanced database oversight:
Compare database performance across different time periods or perform real-time monitoring of SQL statements (C): Uses Performance Hub for historical and real-time SQL monitoring.
Analyze and tune SQL performance issues of Oracle Databases on-premises, OCI, and multi-cloud environments (D): Offers SQL tuning across diverse deployments.
Why not A or B?
A and B: Capacity forecasting is an Operations Insights feature, not Database Management.
These actions enhance database performance management.
質問 # 23
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?
- A. CpuUtilization[1m].max()
- B. cpuutilization[1m].max().grouping().sum()
- C. CpuUtilization[1m](shape "VM.Standard.E4.Flex").max()
- D. (CpuUtilization[1m].max() > 80).grouping().sum()
正解：D
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.
質問 # 24
You have configured an Alarm Definition in the Oracle Cloud Infrastructure (OCI) Monitoring service to send notifications through email. The alarm should resend notifications at specified intervals if the alarm continues to be in the firing state. A subscriber in the Notifications Topic complains about not receiving multiple emails upon failures. Which of the following could be the possible cause of this issue?
- A. Repeat notification was not enabled while creating the Alarm.
- B. Resending notifications depends on the total metric streams returned from the query.
- C. Trigger Condition was not configured while defining the Alarm.
- D. OCI Monitoring service can send only one notification per Alarm Definition when the alarm condition is met.
正解：A
解説：
For repeated notifications in OCI Monitoring:
Repeat notification was not enabled while creating the Alarm (B): The "Repeat Notification" option must be enabled in the alarm definition, specifying an interval (e.g., every 5 minutes). If disabled, only one notification is sent when the alarm fires, explaining the subscriber's issue.
Why not A, C, or D?
A: False; OCI supports repeat notifications if configured.
C: Trigger condition is mandatory for any alarm; this isn't the issue.
D: Notification frequency isn't tied to metric streams, only the repeat setting.
Repeat Notification ensures ongoing alerts.
質問 # 25
You are part of the Cloud Operations team managing thousands of compute instances running in Oracle Cloud Infrastructure (OCI). The OCI Logging Service is configured to collect logs from these instances using a Unified Monitoring Agent. A requirement has been created to archive logging data into OCI Object Storage. Which OCI capability can help you achieve this requirement?
- A. ObjectCollectionRule
- B. Logging Query
- C. Service Connector
- D. IAM policy
正解：C
解説：
To archive logs from OCI Logging Service to Object Storage, an automated data movement solution is needed:
Service Connector (A): Part of Service Connector Hub, this capability moves data between OCI services. A Service Connector can be configured with Logging as the source and Object Storage as the target, automatically transferring logs based on filters (e.g., log level) or schedules.
Why not B, C, or D?
ObjectCollectionRule (B): Used in Logging Analytics to ingest logs from Object Storage, not archive to it.
IAM policy (C): Governs permissions but doesn't perform data movement.
Logging Query (D): Analyzes logs within Logging Service, not for archiving.
Service Connector ensures seamless, scalable log archiving.
質問 # 26
Which Logging Analytics concept represents an asset on your host that could provide log data?
- A. Parser
- B. Association
- C. Entity
- D. Source
正解：D
解説：
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.
質問 # 27
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