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Title: New 1Z0-1111-25 Braindumps Questions, 1Z0-1111-25 New Cram Materials [Print This Page]
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Oracle 1Z0-1111-25 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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 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
  • 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 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 (Q54-Q59):NEW QUESTION # 54
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?
Answer: C
Explanation:
The performance management feature in Database Management leverages AWR data:
Visualizes and performs trend analysis from AWR data to detect issues using AWR Explorer (B): AWR Explorer displays Automatic Workload Repository data, enabling trend analysis and issue detection (e.g., performance bottlenecks).
Why not A or C?
A: Stats gathering is manual or scheduled, not automatic in this context.
C: Parameter changes require user intervention, not dynamic automation.
AWR Explorer is key for performance insights.

NEW QUESTION # 55
In Application Performance Monitoring (APM), a distributed tracing user initiates a request through a browser. What is the first span called?
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 # 56
What are the two capabilities available in Operations Insights? (Choose two.)
Answer: A,D
Explanation:
Operations Insights provides:
Capacity Planning (A): Forecasts resource needs based on historical trends and scenarios.
Exadata Insights (D): Analyzes Exadata system performance and capacity.
Why not B or C?
Database Fleet Monitoring (B): A goal, not a named capability; covered under broader features.
Entity Topology Viewing (C): More aligned with Stack Monitoring, not Operations Insights.
These capabilities optimize resource management.

NEW QUESTION # 57
What happens in Stack Monitoring after Management Agents are set up and resources are discovered?
Answer: A
Explanation:
In OCI Stack Monitoring, once Management Agents are deployed and resources (e.g., databases, applications) are discovered, the immediate next step is the collection of metric data.
Metric data is immediately collected (A): Management Agents are lightweight processes that continuously collect performance and health metrics from discovered resources (e.g., CPU usage, memory utilization) and send them to OCI services like Monitoring or Stack Monitoring. This data becomes available for visualization and analysis right after discovery.
Why not B, C, or D?
Alarm rules (B): Alarms are configured separately in the OCI Monitoring service and only trigger after metric data is collected and thresholds are breached-not an immediate post-discovery action.
Resource discovery (C): Discovery happens before this stage, as the question assumes resources are already discovered. Agents don't rediscover resources post-setup.
Notifications (D): Notifications require separate configuration (e.g., via the Notifications service) and are not an automatic outcome of agent setup and discovery.
This aligns with Stack Monitoring's purpose of providing real-time visibility into resource performance.

NEW QUESTION # 58
How does Application Performance Monitoring track all related spans for a single user request?
Answer: B
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 # 59
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