EXAM DUMPS 1Z0-1111-25 PDF | TEST 1Z0-1111-25 LAB QUESTIONS

Exam Dumps 1Z0-1111-25 Pdf | Test 1Z0-1111-25 Lab Questions

Exam Dumps 1Z0-1111-25 Pdf | Test 1Z0-1111-25 Lab Questions

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Oracle 1Z0-1111-25 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 4
  • 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 5
  • 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.

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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q26-Q31):

NEW QUESTION # 26
You are part of a team that manages a set of workload instances running in an on-premises environment. The Architect team is tasked with designing and configuring Oracle Cloud Infrastructure (OCI) Logging service to collect logs from these instances. There is a requirement to archive Info-level logging data of these instances into OCI Object Storage. Which two features of OCI can help you achieve this? (Choose two.)

  • A. Agent Configuration
  • B. Cloud Agent Plugin Grouping Function
  • C. ObjectCollection Rule
  • D. Service Connectors

Answer: C,D

Explanation:
To collect logs from on-premises instances and archive Info-level logs in OCI Object Storage, you need tools for log ingestion and data movement:
Service Connectors (A): This feature enables data transfer from OCI Logging (source) to Object Storage (target). You can configure a service connector with a filter (e.g., log level = Info) to archive only Info-level logs.
ObjectCollection Rule (D): Part of Logging Analytics, this rule collects logs from Object Storage buckets into Logging Analytics for analysis. If logs are first written to Object Storage by an agent, this rule ensures continuous ingestion.
Why not B or C?
Agent Configuration (B): Used to set up Management Agents but doesn't handle archiving to Object Storage.
Cloud Agent Plugin Grouping Function (C): This is not a valid OCI feature.
The workflow involves agents sending logs to Logging, Service Connectors filtering and moving them to Object Storage, and ObjectCollection Rules enabling further analysis.


NEW QUESTION # 27
Which is one of the primary use cases for the Oracle Cloud Infrastructure (OCI) Observability and Management (O&M) Logging Analytics service?

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

Answer: A

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 # 28
Which pillars of Observability are available as a single view from the Dashboard?

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

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 # 29
What happens in Stack Monitoring after Management Agents are set up and resources are discovered?

  • A. OCI Notifications send email notifications
  • B. Management Agents discover resources that are running locally on the instance
  • C. Metric data is immediately collected
  • D. Alarm rules will trigger when resources are down or performance thresholds are crossed

Answer: C

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 # 30
Which Logging Analytics concept represents an asset on your host that could provide log data?

  • A. Source
  • B. Parser
  • C. Association
  • D. Entity

Answer: A

Explanation:
In OCI Logging Analytics, a Source defines the origin of log data from an asset on a host.
Source (B): Represents a log-generating asset (e.g., a file, database audit log, or Windows event log), specifying its location, format, and collection frequency. It's associated with an Entity to enable log ingestion and parsing.
Why not A, C, or D?
Association (A): Links a Source to an Entity, not the asset itself.
Entity (C): A logical representation of a resource (e.g., a host), not the log source.
Parser (D): Extracts fields from logs, not the asset providing data.
Sources are foundational to log collection in Logging Analytics.


NEW QUESTION # 31
......

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