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1Z0-1111-25퍼펙트최신덤프모음집 - 1Z0-1111-25시험패스가능한인증공부자료

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Oracle 1Z0-1111-25 시험요강:

주제
소개

주제 1

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.

주제 2

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.

주제 3

Centrally Manage and Visualize Log Data: This section assesses the abilities of Logging Analysts and Security Engineers in managing logs across an entire IT environment. It includes enabling log collection, creating connectors for log transitions, identifying log patterns, and visualizing logs for advanced analytics using OCI Logging Service.

주제 4

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.

주제 5

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.

주제 6

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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최신 Oracle Cloud Infrastructure 1Z0-1111-25 무료샘플문제 (Q19-Q24):

질문 # 19
What are two examples of a Stack Monitoring deployment model? (Choose two.)

A. Resources running on Management Gateway
B. Resources running on OCI compute instances
C. Resources running on a network appliance
D. Resources running on-premises

정답：B,D

설명：
Stack Monitoring monitors application stacks across environments:
Resources running on OCI compute instances (B): Monitors components (e.g., WebLogic, databases) on OCI VMs using Management Agents.
Resources running on-premises (D): Tracks on-premises resources (e.g., Oracle Databases) via Enterprise Manager Bridge or agents.
Why not A or C?
A: Management Gateway is a proxy, not a resource host.
C: Network appliances aren't typical Stack Monitoring targets.
These models cover cloud and on-premises stacks.

질문 # 20
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)

A. Allows Oracle Enterprise Manager's operations data for various use-cases
B. Identifies future resource usage Oracle Cloud
C. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
D. Provides data based on a statistical analysis of AI data

정답：A,C

설명：
The Observability Lakehouse in Operations Insights is a data repository for operational analytics:
Enables custom analytics (B): Supports trending (e.g., usage patterns), forecasting (e.g., resource needs), capacity planning, and workload profiling using advanced analytical tools, enhancing resource optimization.
Allows Oracle Enterprise Manager's data (D): Integrates operational data from Enterprise Manager (e.g., database metrics) for use cases like performance analysis and anomaly detection.
Why not A or C?
Statistical analysis of AI data (A): Too vague; Lakehouse focuses on operational data, not AI-specific stats.
Identifies future resource usage (C): Partial benefit of B, but not a standalone feature.
These capabilities improve operational decision-making.

질문 # 21
Which TWO items describe the capabilities of the Oracle Cloud Infrastructure (OCI) Database Management Service? (Choose two.)

A. Analyze SQL response time across a group of databases
B. Perform management tasks across a group of databases
C. View database log entries
D. Monitor database performance

정답：B,D

설명：
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.

질문 # 22
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.)

A. Agent Configuration
B. Service Connectors
C. ObjectCollection Rule
D. Cloud Agent Plugin Grouping Function

정답：B,C

설명：
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.

질문 # 23
Your team has been tasked with debugging a Cloud Native application developed using the following Oracle Cloud Infrastructure (OCI) services: Object Storage, Events, Functions, API Gateway, and Autonomous Database. Which of these is NOT a valid option for troubleshooting issues in OCI?

A. View service metric information from the OCI Monitoring service.
B. Configure a Service Connector to automatically send logs into the OCI Logging Analytics service.
C. Configure the application to send logs into OCI Logging service.
D. Trace performance issues in OCI Application Performance Monitoring service by enabling Function traces.
E. Leverage OCI Cloud Guard to extract and visualize debug logs generated by your application.

정답：E

설명：
Troubleshooting a cloud-native app leverages OCI observability tools:
Invalid: Leverage OCI Cloud Guard to extract and visualize debug logs (D): Cloud Guard is a security posture management and threat detection service, not designed for extracting or visualizing application debug logs.
Why A, B, C, and E are valid:
A: Monitoring provides service metrics (e.g., Function invocation latency).
B: Service Connector moves logs to Logging Analytics for analysis.
C: APM traces Functions performance issues.
E: Logging Service collects app logs directly.
Cloud Guard focuses on security, not debugging.

질문 # 24
......

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