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Oracle 1Z0-1111-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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.
Topic 3	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.
Topic 4	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.
Topic 5	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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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q52-Q57):

NEW QUESTION # 52
Choose two FluentD scenarios that apply when using continuous log collection with client-side processing. (Choose two.)

A. Monitoring systems that are not currently supported by Management Agent
B. Comprehensive monitoring for OKE/Kubernetes
C. Log Source
D. Managing apps/services which push logs to Object Storage

Answer: B,D

Explanation:
FluentD is an open-source data collector used for continuous log collection with client-side processing in OCI Logging. Two applicable scenarios are:
Managing apps/services which push logs to Object Storage (A): FluentD can be configured to collect logs from applications or services (e.g., Oracle Functions) that write logs to Object Storage buckets. It processes these logs client-side and forwards them to OCI Logging or Logging Analytics.
Comprehensive monitoring for OKE/Kubernetes (B): FluentD is widely used in Kubernetes environments like Oracle Container Engine for Kubernetes (OKE) to collect logs from pods, containers, and nodes. It processes these logs locally before sending them to OCI services for analysis.
Why not C or D?
Monitoring unsupported systems (C): While possible, this is not a primary FluentD scenario in OCI-it's more about extending Management Agent capabilities.
Log Source (D): This is a component of Logging Analytics, not a FluentD scenario.
FluentD's flexibility makes it ideal for these use cases in OCI's observability ecosystem.

NEW QUESTION # 53
Which Logging Analytics concept represents an asset on your host that could provide log data?

A. Parser
B. Association
C. Source
D. Entity

Answer: C

Explanation:
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.

NEW QUESTION # 54
Which is NOT a valid statement regarding the Oracle Cloud Infrastructure (OCI) Audit logs?

A. Audit logs can be displayed at the Compartment level.
B. One of the key reasons to view Audit Logs is to collect security-related events.
C. Audit Logs are disabled by default and must be manually enabled for each compartment in your tenancy.

Answer: C

Explanation:
OCI Audit logs track API operations for security and compliance.
Invalid statement: Audit Logs are disabled by default (B): Audit Logs are enabled by default across all compartments in a tenancy-no manual activation is required. They automatically record all API activities.
Why A and C are valid:
Security-related events (A): Audit Logs capture user actions, making them critical for security monitoring.
Compartment-level display (C): Logs can be filtered and viewed by compartment or tenancy level via the Console or API.
Audit Logs are always active, with a 90-day retention period by default.

NEW QUESTION # 55
Which of the following TWO are stored in a Log Source of Logging Analytics? (Choose two.)

A. Which Management Agents to use
B. Which Parsers to use
C. Where to find Logs
D. Where to store Log data

Answer: B,C

Explanation:
A Log Source in Logging Analytics defines how logs are collected and processed:
Which Parsers to use (A): Specifies the parsers (e.g., Syslog, JSON) that extract fields from logs, enabling structured analysis.
Where to find Logs (C): Defines the log location (e.g., file path /var/log/messages, database connection string), directing the collection process.
Why not B or D?
Where to store Log data (B): Storage is managed by Logging Analytics, not defined in the Source.
Which Management Agents to use (D): Agents are associated with Entities, not specified in the Source.
These elements configure log ingestion effectively.

NEW QUESTION # 56
How does Application Performance Monitoring track all related spans for a single user request?

A. Using Application Name
B. Using Trace ID
C. Using User ID

Answer: B

Explanation:
APM tracks request flows using:
Using Trace ID (A): A unique identifier assigned to a trace (collection of spans) for a single user request. Propagated via HTTP headers, it links all spans across services.
Why not B or C?
User ID (B): Identifies users, not request flows.
Application Name (C): Too broad; doesn't correlate specific requests.
Trace ID ensures end-to-end visibility in distributed systems.

NEW QUESTION # 57
......

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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q52-Q57):

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