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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.

Topic 7

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.

Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q48-Q53):

NEW QUESTION # 48
How does Application Performance Monitoring track all related spans for a single user request?

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

Answer: A

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 # 49
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)

A. Compare database performance across different time periods or perform real-time monitoring of SQL statements
B. Forecast capacity issues of Oracle Databases in on-premises, OCI, and multi-cloud environments
C. Forecast capacity issues of your Database services in OCI
D. Analyze and tune SQL performance issues of Oracle Databases on-premises, OCI, and multi-cloud environments

Answer: A,D

Explanation:
Database Management Service provides advanced database oversight:
Compare database performance across different time periods or perform real-time monitoring of SQL statements (C): Uses Performance Hub for historical and real-time SQL monitoring.
Analyze and tune SQL performance issues of Oracle Databases on-premises, OCI, and multi-cloud environments (D): Offers SQL tuning across diverse deployments.
Why not A or B?
A and B: Capacity forecasting is an Operations Insights feature, not Database Management.
These actions enhance database performance management.

NEW QUESTION # 50
Which is one of the primary use cases for the Oracle Cloud Infrastructure (OCI) Observability and Management (O&M) Logging Analytics service?

A. Create OCI resources automatically based on log events and reports
B. Centralize and relocate any log based on a subscription model
C. Monitor, aggregate, index, and analyze log data

Answer: C

Explanation:
Logging Analytics is a core O&M service:
Monitor, aggregate, index, and analyze log data (A): Collects logs from OCI and external sources, indexes them for search, and provides analytics (e.g., clustering) to monitor and troubleshoot systems.
Why not B or C?
B: Log centralization occurs, but "subscription model" isn't a feature.
C: Resource creation is an Events Service use case, not Logging Analytics.
This is its primary observability role.

NEW QUESTION # 51
Which Machine Learning-based visualization is helpful in analyzing extremely large volumes of log records by grouping them based on their shape?

A. Summary Table
B. Word Cloud
C. Cluster

Answer: C

Explanation:
In Logging Analytics, ML-driven visualizations aid log analysis:
Cluster (A): Uses machine learning to group logs by structural similarity ("shape"), reducing noise and highlighting patterns or anomalies in large datasets.
Why not B or C?
Summary Table (B): Aggregates data tabularly, not ML-based or shape-focused.
Word Cloud (C): Displays word frequency, not structural grouping.
Cluster is ideal for large-scale log pattern recognition.

NEW QUESTION # 52
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. Leverage OCI Cloud Guard to extract and visualize debug logs generated by your application.
B. Configure the application to send logs into OCI Logging service.
C. Configure a Service Connector to automatically send logs into the OCI Logging Analytics service.
D. View service metric information from the OCI Monitoring service.
E. Trace performance issues in OCI Application Performance Monitoring service by enabling Function traces.

Answer: A

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 # 53
......

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