Oracle 1Z0-1111-25 Realistic Free Practice Pass Guaranteed Quiz

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Oracle 1Z0-1111-25 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 5	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 6	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 7	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.

Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q61-Q66):

NEW QUESTION # 61
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)

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

Answer: A,B

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 # 62
What is enabled by the SQL Warehouse application within Operations Insights?

A. Trend and Forecast resource requirements
B. Consolidated Databases
C. Insights into the SQL performance
D. Reduced Operations costs

Answer: C

Explanation:
The SQL Warehouse in Operations Insights focuses on SQL-level analysis:
Insights into the SQL performance (A): Provides a centralized repository of SQL performance data (e.g., execution time, resource usage) from monitored databases, enabling detailed analysis and optimization.
Why not B, C, or D?
Trend and Forecast (B): Handled by Capacity Planning in Operations Insights, not SQL Warehouse.
Consolidated Databases (C): A misnomer; it's about data, not database consolidation.
Reduced costs (D): An outcome, not a direct feature.
SQL Warehouse enhances database performance visibility.

NEW QUESTION # 63
There are several ways to reduce Logging Analytics noise. Select the TWO options that apply. (Choose two.)

A. Use parsed logs search
B. Use specific keywords
C. Use time-picker to limit the volume of logs
D. Use histogram records

Answer: A,C

Explanation:
Reducing noise in Logging Analytics improves log analysis focus:
Use parsed logs search (C): Searches based on extracted fields (e.g., severity=ERROR) filter out irrelevant logs, targeting specific issues.
Use time-picker to limit the volume of logs (D): Narrows the time range (e.g., last hour), reducing the dataset to relevant periods.
Why not A or B?
Histogram records (A): Visualizes data distribution, not a noise reduction method.
Specific keywords (B): Useful but less precise than parsed fields; raw text search isn't emphasized in Logging Analytics.
These methods enhance signal-to-noise ratio.

NEW QUESTION # 64
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. Select pre-defined queries for common use cases
D. Display status of monitored systems

Answer: A,C

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 # 65
In Application Performance Monitoring (APM), a distributed tracing user initiates a request through a browser. What is the first span called?

A. Trace ID
B. Root span
C. Ajax call

Answer: B

Explanation:
In distributed tracing within OCI APM:
Root span (C): The first span in a trace, representing the entry point of a user request (e.g., an HTTP request from a browser). It has no parent span and initiates the chain of subsequent spans across services.
Why not A or B?
Ajax call (A): A type of request, not a span term.
Trace ID (B): A unique identifier for the entire trace, not a span.
The root span is foundational to tracing a request's journey.

NEW QUESTION # 66
......

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ORACLE 1Z0-1111-25 REALISTIC FREE PRACTICE PASS GUARANTEED QUIZ

Oracle 1Z0-1111-25 Realistic Free Practice Pass Guaranteed Quiz