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Oracle 1Z0-1111-25 Exam Syllabus Topics:

Topic
Details

Topic 1

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.

Topic 2

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 3

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 4

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 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.

Topic 6

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 7

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.

Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q36-Q41):

NEW QUESTION # 36
Which response contains rich information to process for analytics?

A. Database Audit Logs
B. Logging Analytic Entities
C. Log Sources
D. Entity types

Answer: A

Explanation:
For analytics, the data source must provide detailed, actionable information.
Database Audit Logs (C): These logs contain rich data like user actions, SQL queries, timestamps, and security events, making them ideal for performance, security, and compliance analysis in Logging Analytics.
Why not A, B, or D?
Entity types (A): These are metadata definitions, not data for analytics.
Log Sources (B): These are configurations for log parsing, not the logs themselves.
Logging Analytic Entities (D): Entities are resource representations, not the data content.
Database Audit Logs offer the depth needed for meaningful insights.

NEW QUESTION # 37
Which of the following features of Logging Analytics is used for identifying and tagging problem logs during ingestion time?

A. Extended Fields
B. Entity Type
C. Log Origin
D. Labels

Answer: D

Explanation:
In OCI Logging Analytics, Labels enhance log analysis by tagging specific records:
Labels (B): Predefined tags applied during ingestion based on conditions (e.g., "Error" for logs with "error" or "exception"). Labels help categorize and filter problem logs for easier searching and troubleshooting.
Why not A, C, or D?
Entity Type (A): Defines the resource type (e.g., host), not a tagging mechanism.
Log Origin (C): Metadata about log source, not for problem identification.
Extended Fields (D): Custom fields extracted post-ingestion, not tags applied during ingestion.
Labels streamline issue detection at the ingestion stage.

NEW QUESTION # 38
Which two features are provided by Application Performance Monitoring? (Choose two.)

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

Answer: A,D

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 # 39
Which of the following is not a key interaction element in the Log Explorer UI of Logging Analytics?

A. Scope Filter
B. Fields Panel
C. Dashboard
D. Time Picker

Answer: C

Explanation:
The Log Explorer UI in OCI Logging Analytics includes four key interaction elements: Fields Panel, Time Picker, Scope Filter, and Results Panel. These allow users to search, filter, and analyze logs interactively.
Dashboard (D): This is not part of the Log Explorer UI. Dashboards are separate visualizations in Logging Analytics for summarizing data, not an interactive element of the Log Explorer.
Why A, B, and C are key elements:
Fields Panel (A): Displays log fields for filtering and analysis.
Time Picker (B): Sets the time range for log queries.
Scope Filter (C): Defines the scope (e.g., compartments, log groups) of the log search.

NEW QUESTION # 40
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)

A. Efficient
B. Plan changes
C. Climbing
D. Degraded

Answer: B,D

Explanation:
SQL Warehouse in Operations Insights categorizes SQL performance:
Degraded (A): SQL statements with declining performance over time (e.g., increased latency), indicating potential issues.
Plan changes (C): SQL statements with altered execution plans, impacting performance or resource use.
Why not B or D?
Climbing (B): Not a standard category; possibly a misnomer.
Efficient (D): Positive performance isn't a focus category.
These help identify and resolve SQL issues.

NEW QUESTION # 41
......

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