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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

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.

Topic 3

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 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.

Topic 5

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 6

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.

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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q34-Q39):

NEW QUESTION # 34
What are the two items required to create a rule for the Oracle Cloud Infrastructure (OCI) Events Service? (Choose two.)

A. Install Key
B. Service Connector
C. Management Agent Cloud Service
D. Actions
E. Rule Conditions

Answer: D,E

Explanation:
To create a rule in the OCI Events Service, you need to define what triggers the rule and what happens when it's triggered. The two required components are:
Actions (B): These specify the tasks to perform when an event matches the rule (e.g., invoking a function, sending a notification, or streaming to a service). Without an action, the rule has no effect.
Rule Conditions (C): These define the criteria for matching events (e.g., event type like com.oraclecloud.computeapi.launchinstance.end or resource attributes). Conditions filter which events trigger the rule.
Why not A, D, or E?
Management Agent Cloud Service (A): This is unrelated to Events Service rules; it's for monitoring resources.
Install Key (D): This is used for agent installation, not event rules.
Service Connector (E): While it can work with Events Service, it's a separate service and not a required component of an event rule itself.
These two elements form the core of an OCI Events Service rule, enabling event-driven automation.

NEW QUESTION # 35
Which response contains rich information to process for analytics?

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

Answer: B

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 # 36
Which two future resource usages are identified by Exadata Warehouse Insights custom analytics under Operations Insights? (Choose two.)

A. AIOps
B. Network usage
C. Memory
D. CPU

Answer: C,D

Explanation:
Exadata Warehouse Insights in OCI Operations Insights provides advanced analytics to forecast resource usage for Exadata systems.
Memory (A): Tracks and predicts memory utilization based on historical trends, aiding capacity planning.
CPU (D): Forecasts CPU usage, helping identify potential bottlenecks or over-provisioning.
Why not B or C?
Network usage (B): While monitored, it's not a primary focus of Exadata Warehouse Insights' future usage predictions.
AIOps (C): This is a methodology, not a resource usage metric.
These forecasts leverage historical data and what-if analysis for proactive management.

NEW QUESTION # 37
Which two functions does the Trace Explorer allow you to do in Application Performance Monitoring (APM)? (Choose two.)

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

Answer: A,B

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 # 38
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?

A. ObjectCollection Rule
B. Object Storage
C. Object Store
D. Object Store Bucket

Answer: A

Explanation:
For continuous log ingestion from Object Storage:
ObjectCollection Rule (A): A Logging Analytics feature that monitors Object Storage buckets and ingests logs based on defined patterns (e.g., bucket name, object prefix). It's designed for this purpose.
Why not B, C, or D?
Object Store (B), Object Storage (C), Object Store Bucket (D): These refer to the storage service or its components, not a method for log ingestion.
ObjectCollection Rule ensures automated, ongoing log collection.

NEW QUESTION # 39
......

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Eli Gray Eli Gray

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