1Z0-1111-25対応資料、1Z0-1111-25英語版

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Oracle 1Z0-1111-25 Exam Syllabus Topics:

SectionObjectives
Management Agents- Supported O&M Services
  • 1. Logging Analytics
  • 2. Application Performance Management
Application Performance Monitoring (APM)- Trace Explorer
  • 1. View details of specific spans
  • 2. Display status of monitored systems
  • 3. Select pre-defined queries for common use cases
Observability Fundamentals- Pillars of Observability
  • 1. Logs
  • 2. Traces
  • 3. Metrics
- Monitoring Concepts
  • 1. Monitoring, Logging, Notifications, and Distributed Tracing
Monitor Cloud Environments with Metrics and Alarms- Performance Metrics
  • 1. Configure and interpret performance metrics across Compute, Storage, and Network resources
- Alarms
  • 1. Set up threshold-based alarms to detect anomalies
  • 2. Trigger automated responses in production environments
Logging and Analytics- Logging Analytics
  • 1. Analyze SQL Performance in Operations Insights
- Log Management
  • 1. Log Sources and Parsers
  • 2. Continuous log collection with client-side processing
Respond to Cloud Resource Changes in Real-Time- Notifications and Automation
  • 1. Reduce manual intervention
  • 2. Apply notifications and automation rules to minimize downtime
- Event-Driven Monitoring
  • 1. Capture resource state changes using event-driven monitoring
  • 2. Initiate immediate corrective actions
Monitor Distributed Components of an Application Stack- Distributed Tracing
  • 1. Identify latency, failures, and dependencies in multi-tier architectures
  • 2. Trace requests across microservices and containerized workloads
- OCI Application Stack Monitoring
  • 1. Monitor applications deployed on Oracle Cloud Infrastructure

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Oracle Cloud Infrastructure 2025 Observability Professional 認定 1Z0-1111-25 試験問題 (Q33-Q38):

質問 # 33
Which TWO items describe the capabilities of the Oracle Cloud Infrastructure (OCI) Database Management Service? (Choose two.)

正解：C、D

解説：
The Database Management Service enhances database oversight:
Monitor database performance (B): Provides tools like Performance Hub to track real-time and historical metrics (e.g., CPU, I/O).
Perform management tasks across a group of databases (C): Database Fleet Management enables bulk operations (e.g., configuration checks, SQL execution) across multiple databases.
Why not A or D?
A: Log viewing is via Logging Service, not a core DM feature.
D: SQL analysis is in Operations Insights, not DM directly.
These capabilities streamline database administration.


質問 # 34
Which pillars of Observability are available as a single view from the Dashboard?

正解：A


質問 # 35
When would you use a vantage point in Application Performance Monitoring (APM)?

正解：C

解説：
In APM, a vantage point is used in:
Synthetic Monitoring (D): Runs tests from specific locations (vantage points) to monitor web application or API availability and performance globally.
Why not A, B, or C?
Java Management (A): Unrelated to vantage points.
Distributed Tracing (B): Tracks internal request flows, not external tests.
Application Insights (C): Not a formal APM feature; vague term.
Vantage points simulate user access from different regions.


質問 # 36
Which is an example of Log Sources in Logging Analytics?

正解：A

解説：
In OCI Logging Analytics, Log Sources are predefined parsers that extract fields from specific types of log data, enabling structured analysis.
Windows Events, Syslog Listener, and Database SQL parsers (B): These are examples of Log Sources in Logging Analytics. Each represents a specific log type with a predefined parser:
Windows Events: Parses event logs from Windows systems (e.g., security, application logs).
Syslog Listener: Handles logs in the Syslog format, common in Unix-based systems or network devices.
Database SQL parsers: Extracts fields from database logs (e.g., Oracle Database audit logs).
These sources come with built-in field mappings and labels for analysis.
Why not A, C, or D?
Long, Integer, String fields (A): These are data types, not Log Sources.
File, Database, Windows Events System, Syslogs (C): While close, this mixes log locations (e.g., File, Database) with source types and isn't a precise match to predefined Log Sources.
JSON, XML, CSV files (D): These are file formats, not Log Sources; Logging Analytics can parse them but they're not predefined sources.
Log Sources streamline log ingestion by providing out-of-the-box parsing for common log types.


質問 # 37
Which two functions does the Trace Explorer allow you to do in Application Performance Monitoring (APM)? (Choose two.)

正解：A、C

解説：
The Trace Explorer in OCI Application Performance Monitoring (APM) is a tool for analyzing distributed traces and spans. Its key functions include:
View the details of specific spans (A): Trace Explorer allows users to drill into individual spans within a trace, displaying details such as duration, status, tags, logs, and errors. This helps identify performance bottlenecks or failures in specific service calls.
Select pre-defined queries for common use cases (B): It provides built-in queries (e.g., slowest traces, error traces, traces by service) to quickly filter and analyze common scenarios, enhancing troubleshooting efficiency.
Why not C or D?
Display status of monitored systems (C): System status is monitored via OCI Monitoring or Stack Monitoring, not Trace Explorer, which focuses on traces.
Define custom metrics for traces (D): Custom metrics are defined in OCI Monitoring, not Trace Explorer, which is for viewing, not creating metrics.
Trace Explorer enhances visibility into distributed application performance.


質問 # 38
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