1Z0-1111-25 SIMULATION QUESTIONS & CERT 1Z0-1111-25 EXAM

1Z0-1111-25 Simulation Questions & Cert 1Z0-1111-25 Exam

1Z0-1111-25 Simulation Questions & Cert 1Z0-1111-25 Exam

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Oracle 1Z0-1111-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • 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 6
  • 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 (Q37-Q42):

NEW QUESTION # 37
In Application Performance Monitoring (APM), a distributed tracing user initiates a request through a browser. What is the first span called?

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

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 # 38
You need to find the Log Group from a Log line using Oracle Cloud Infrastructure (OCI) Logging Service. Which section within a Log contains the Log Group's OCID?

  • A. Data section
  • B. Unified Envelope
  • C. Oracle section
  • D. Source Section

Answer: B

Explanation:
In OCI Logging, logs are wrapped in a Unified Envelope:
Unified Envelope (D): Contains metadata like logGroupId (the OCID of the Log Group), timeCreated, and compartmentId. This identifies the Log Group for each log entry.
Why not A, B, or C?
Source Section (A): Indicates log origin, not the group OCID.
Data section (B): Holds the log content, not metadata like OCID.
Oracle section (C): Not a valid log section.
The Unified Envelope standardizes log metadata.


NEW QUESTION # 39
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)

  • A. Allows Oracle Enterprise Manager's operations data for various use-cases
  • B. Identifies future resource usage Oracle Cloud
  • C. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
  • D. Provides data based on a statistical analysis of AI data

Answer: A,C

Explanation:
The Observability Lakehouse in Operations Insights is a data repository for operational analytics:
Enables custom analytics (B): Supports trending (e.g., usage patterns), forecasting (e.g., resource needs), capacity planning, and workload profiling using advanced analytical tools, enhancing resource optimization.
Allows Oracle Enterprise Manager's data (D): Integrates operational data from Enterprise Manager (e.g., database metrics) for use cases like performance analysis and anomaly detection.
Why not A or C?
Statistical analysis of AI data (A): Too vague; Lakehouse focuses on operational data, not AI-specific stats.
Identifies future resource usage (C): Partial benefit of B, but not a standalone feature.
These capabilities improve operational decision-making.


NEW QUESTION # 40
Which two resources can be monitored by Stack Monitoring? (Choose two.)

  • A. WebLogic Servers
  • B. Object Storage Buckets
  • C. Virtual Cloud Networks
  • D. Oracle External Databases

Answer: A,D

Explanation:
Stack Monitoring tracks application stack components:
WebLogic Servers (B): Monitors performance and health of WebLogic instances.
Oracle External Databases (C): Tracks on-premises or cloud Oracle databases outside OCI's native DBaaS.
Why not A or D?
Object Storage Buckets (A): Not supported by Stack Monitoring; use Logging instead.
Virtual Cloud Networks (D): Network monitoring is separate (e.g., VCN Flow Logs).
These align with Stack Monitoring's focus on application stacks.


NEW QUESTION # 41
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?

  • A. WebLogic, Tomcat, or JBoss
  • B. VMware ESXi
  • C. NginX
  • D. Jaeger or Zipkin

Answer: D

Explanation:
The APM Java Agent collects telemetry from Java applications:
Jaeger or Zipkin (C): These are open-source distributed tracing systems. The Java Agent can integrate with Jaeger- or Zipkin-compatible applications, collecting spans and metrics for APM analysis.
Why not A, B, or D?
NginX (A): A web server; APM uses other agents (e.g., Browser Agent) for such systems.
WebLogic, etc. (B): Application servers, but not direct data sources; the agent collects from the app, not the server type.
VMware ESXi (D): A hypervisor, unrelated to Java tracing.
Jaeger and Zipkin compatibility extends APM's reach.


NEW QUESTION # 42
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