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Oracle 1Z0-1111-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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.

Topic 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.

Topic 3

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 4

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.

Topic 5

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 6

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 7

Monitor Distributed Components of an Application Stack: This section measures the skills of Stack Monitoring Specialists and Cloud Administrators in using OCI Stack Monitoring. It covers discovering resources within application stacks, monitoring metrics across distributed components, and ensuring optimal performance through effective resource management.

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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q62-Q67):

NEW QUESTION # 62
Which step is essential while building a reliable log monitoring environment?

A. Define permissions for the user roles in the region
B. Determination of the Machine Learning models you need to program
C. Noise baseline determination
D. Creation of the Key Performance Indicators (KPIs) to monitor

Answer: C

Explanation:
A reliable log monitoring environment filters signal from noise:
Noise baseline determination (B): Establishes the typical level of irrelevant log data, allowing filters (e.g., severity levels) to focus on meaningful events, improving monitoring effectiveness.
Why not A, C, or D?
A: ML models are advanced, not essential for baseline setup.
C: KPIs are useful but secondary to noise reduction.
D: Permissions are administrative, not core to reliability.
Noise baseline is foundational.

NEW QUESTION # 63
Which is a valid Log Category name in Oracle Cloud Infrastructure (OCI) Logging Service?

A. VCN Logs
B. System Logs
C. OCI Agent Logs
D. Custom Logs

Answer: D

Explanation:
In OCI Logging Service, Log Categories classify logs based on their origin or purpose.
Custom Logs (D): This is a valid Log Category for logs generated by user applications or services not natively integrated with OCI. Custom Logs are collected using agents, SDKs, or APIs and are user-defined.
Why not A, B, or C?
VCN Logs (A): Virtual Cloud Network (VCN) flow logs exist, but "VCN Logs" isn't a formal Log Category; it's a type of service log.
OCI Agent Logs (B): Agent logs are internal to Management Agents, not a user-facing Log Category.
System Logs (C): While system logs exist in some contexts, OCI Logging uses specific categories like "Audit Logs" or "Service Logs," not a generic "System Logs."
"Custom Logs" is explicitly supported for user-generated log data.

NEW QUESTION # 64
From the following, select the different metric namespaces used for APM.

A. RUM metrics, oracle_apm_monitoring, Oracle_apm_synthetic
B. oracle_apm_monitoring namespace, synthetics, and monitoring
C. AjaxDownloadTime, TotalTraceCount, Oracle_pm_rum
D. oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring

Answer: D

Explanation:
APM uses specific metric namespaces to categorize its telemetry data:
oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring (D):
oracle_apm_rum: Metrics from Real User Monitoring (e.g., page load times).
oracle_apm_synthetics: Metrics from Synthetic Monitoring (e.g., test response times).
oracle_apm_monitoring: Metrics from distributed tracing (e.g., span counts).
These namespaces align with APM's three core features.
Why not A, B, or C?
A: Individual metric names, not namespaces.
B: Incomplete and incorrect namespace naming.
C: Mixes metric types with partial namespace names.
These namespaces enable targeted metric queries in OCI Monitoring.

NEW QUESTION # 65
Choose two FluentD scenarios that apply when using continuous log collection with client-side processing. (Choose two.)

A. Log Source
B. Comprehensive monitoring for OKE/Kubernetes
C. Monitoring systems that are not currently supported by Management Agent
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 # 66
Which two functions does the Trace Explorer allow you to do in Application Performance Monitoring (APM)? (Choose two.)

A. View the details of specific spans
B. Define custom metrics for traces
C. Display status of monitored systems
D. Select pre-defined queries for common use cases

Answer: A,D

Explanation:
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.

NEW QUESTION # 67
......

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