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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q60-Q65):

NEW QUESTION # 60
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)

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

Answer: A,D

Explanation:
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.

NEW QUESTION # 61
Which two features are provided by Application Performance Monitoring? (Choose two.)

A. Distributed Tracing
B. Real User Monitoring
C. Capacity Planning
D. Java Management

Answer: A,B

Explanation:
OCI Application Performance Monitoring (APM) provides tools to monitor application performance:
Distributed Tracing (A): Tracks requests across microservices, showing latency and dependencies via traces and spans.
Real User Monitoring (C): Captures real user interactions with web applications (e.g., page load times) using a Browser Agent.
Why not B or D?
Capacity Planning (B): Available in Operations Insights, not APM.
Java Management (D): Not a feature of APM; Java Agent is a tool, not a feature.
These features align with APM's focus on performance and user experience.

NEW QUESTION # 62
Which Management Agent group allows the agent to upload data to the discovery service?

A. Mgmt_agent_dynamic_group
B. AgentUsersGrp
C. StackMonitoringAdminGrp
D. StackMonitoringViewerGrp

Answer: B

Explanation:
Management Agents require group membership and policies to interact with OCI services:
AgentUsersGrp (A): A predefined dynamic group for all Management Agents in a tenancy. With an attached policy granting upload permissions (e.g., allow dynamic-group AgentUsersGrp to use discovery-service-family in tenancy), agents can send data to the discovery service for resource detection.
Why not B, C, or D?
B and C: Specific to Stack Monitoring roles, not general agent uploads.
D: A generic name, not a predefined OCI group.
AgentUsersGrp is the standard for this purpose.

NEW QUESTION # 63
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. Configure the application to send logs into OCI Logging service.
B. Leverage OCI Cloud Guard to extract and visualize debug logs generated by your application.
C. View service metric information from the OCI Monitoring service.
D. Configure a Service Connector to automatically send logs into the OCI Logging Analytics service.
E. Trace performance issues in OCI Application Performance Monitoring service by enabling Function traces.

Answer: B

Explanation:
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.

NEW QUESTION # 64
How does a user start collecting a specific log for an Entity in Logging Analytics?

A. Enable a Parser for the Log
B. Identify Fields to extract
C. Configure a path for the Log File
D. Create an Association of required Log Source with that Entity

Answer: D

Explanation:
In OCI Logging Analytics, collecting logs for an Entity (a logical representation of a resource like a host or database) requires linking it to a Log Source.
Create an Association of required Log Source with that Entity (B): This is the correct step. An association connects an Entity (e.g., a server) to a Log Source (e.g., Syslog), specifying where and how logs are collected. Once associated, Logging Analytics begins ingestion and parsing.
Why not A, C, or D?
Configure a path (A): The path is part of the Log Source definition, not the act of starting collection.
Identify Fields (C): Field extraction is a post-collection step, not the initiation process.
Enable a Parser (D): Parsers are embedded in Log Sources; enabling them is implicit in the association, not a separate step.
This association is the foundational action to enable log collection.

NEW QUESTION # 65
......

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Oracle 1Z0-1111-25 Exam | 1Z0-1111-25 Exam Certification - Supplying you best 1Z0-1111-25 Latest Braindumps Book

2025 The Best 1Z0-1111-25 – 100% Free Exam Certification | Oracle Cloud Infrastructure 2025 Observability Professional Latest Braindumps Book

Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q60-Q65):

1Z0-1111-25 Exam Certification | Valid Oracle 1Z0-1111-25: Oracle Cloud Infrastructure 2025 Observability Professional

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