LATEST 1Z0-1111-25 EXAM SIMULATOR & 1Z0-1111-25 VALID EXAM FORUM

Latest 1Z0-1111-25 Exam Simulator & 1Z0-1111-25 Valid Exam Forum

Latest 1Z0-1111-25 Exam Simulator & 1Z0-1111-25 Valid Exam Forum

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With our Oracle Cloud Infrastructure 2025 Observability Professional (1Z0-1111-25) study material, you'll be able to make the most of your time to ace the test. Despite what other courses might tell you, let us prove that studying with us is the best choice for passing your Oracle Cloud Infrastructure 2025 Observability Professional (1Z0-1111-25) certification exam! If you want to increase your chances of success and pass your 1Z0-1111-25 exam, start learning with us right away!

Oracle 1Z0-1111-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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.

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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q30-Q35):

NEW QUESTION # 30
Why do dedicated Vantage Points matter? Select two reasons that apply. (Choose two.)

  • A. Applications on-premise or on secured network cannot be tested from a public Vantage Point
  • B. Test internal customer applications
  • C. Applications on-premise or secured network can be tested from a public Vantage Point
  • D. Test Deployment Manager and Scheduler

Answer: A,B

Explanation:
In OCI APM's Synthetic Monitoring, Vantage Points are locations from which synthetic tests (e.g., HTTP requests) are run. Dedicated Vantage Points are private, user-managed instances, distinct from public ones hosted by Oracle:
Applications on-premise or on secured network cannot be tested from a public Vantage Point (B): Public Vantage Points, located in Oracle-managed regions, lack access to private networks (e.g., on-premise servers or firewalled applications). Dedicated Vantage Points, deployed within a user's network, overcome this limitation.
Test internal customer applications (C): Dedicated Vantage Points enable testing of internal applications (e.g., intranet sites) not exposed to the public internet, ensuring performance monitoring from within the secured environment.
Why not A or D?
Test from public Vantage Point (A): Contradicts B; public Vantage Points can't access private networks.
Test Deployment Manager and Scheduler (D): These are unrelated OCI components, not Synthetic Monitoring targets.
Dedicated Vantage Points extend monitoring to restricted environments.


NEW QUESTION # 31
Which pillars of Observability are available as a single view from the Dashboard?

  • A. Log data, Query language, Dashboard widgets
  • B. Compute, Storage, and Network
  • C. Logs, Metrics, and Traces
  • D. Logging Analytics, Database Management, Stack Monitoring

Answer: C

Explanation:
OCI Dashboards consolidate the three pillars of observability:
Logs, Metrics, and Traces (A):
Logs: Event records from Logging Service.
Metrics: Numeric data from Monitoring Service.
Traces: Request flows from APM.
These can be visualized together in OCI Dashboards for unified observability.
Why not B, C, or D?
B: Resource categories, not pillars.
C: Tools or components, not pillars.
D: OCI services, not the core concepts.
This integration enhances system visibility.


NEW QUESTION # 32
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)

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

Answer: C,D

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 # 33
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?

  • A. NginX
  • B. VMware ESXi
  • C. WebLogic, Tomcat, or JBoss
  • 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 # 34
Which of the following features of Logging Analytics is used for identifying and tagging problem logs during ingestion time?

  • A. Entity Type
  • B. Log Origin
  • C. Labels
  • D. Extended Fields

Answer: C

Explanation:
In OCI Logging Analytics, Labels enhance log analysis by tagging specific records:
Labels (B): Predefined tags applied during ingestion based on conditions (e.g., "Error" for logs with "error" or "exception"). Labels help categorize and filter problem logs for easier searching and troubleshooting.
Why not A, C, or D?
Entity Type (A): Defines the resource type (e.g., host), not a tagging mechanism.
Log Origin (C): Metadata about log source, not for problem identification.
Extended Fields (D): Custom fields extracted post-ingestion, not tags applied during ingestion.
Labels streamline issue detection at the ingestion stage.


NEW QUESTION # 35
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