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1Z0-1111-25 Trustworthy Exam Content | Latest 1Z0-1111-25 Test Prep

1Z0-1111-25 Trustworthy Exam Content | Latest 1Z0-1111-25 Test Prep

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Oracle Cloud Infrastructure 2025 Observability Professional Sample Questions (Q14-Q19):

NEW QUESTION # 14
Which two are use cases of Oracle Cloud Infrastructure (OCI) Events Service? (Choose two.)

  • A. Migrate Events generated by OCI resources from a Source to Target services
  • B. Perform cleanup tasks when an OCI resource is terminated
  • C. Process files when they are uploaded in an Object Storage bucket
  • D. Perform configuration management for deploying, configuring, and managing servers

Answer: B,C

Explanation:
The OCI Events Service enables event-driven automation by reacting to changes in OCI resources. Two valid use cases are:
Process files when they are uploaded in an Object Storage bucket (A): You can create an event rule to trigger an action (e.g., invoking an Oracle Function) when an object is created (com.oraclecloud.objectstorage.createobject). The function could process the file (e.g., image resizing).
Perform cleanup tasks when an OCI resource is terminated (B): An event rule can detect resource termination (e.g., com.oraclecloud.computeapi.terminateinstance.end) and trigger a function to clean up associated resources (e.g., delete volumes).
Why not C or D?
Migrate Events (C): Events Service doesn't "migrate" events; it triggers actions. Migration is more aligned with Service Connector Hub.
Configuration management (D): This is handled by services like Resource Manager or Ansible, not Events Service.
These use cases showcase the service's ability to automate workflows based on resource state changes.


NEW QUESTION # 15
Choose two FluentD scenarios that apply when using continuous log collection with client-side processing. (Choose two.)

  • A. Managing apps/services which push logs to Object Storage
  • B. Monitoring systems that are not currently supported by Management Agent
  • C. Log Source
  • D. Comprehensive monitoring for OKE/Kubernetes

Answer: A,D

Explanation:
FluentD is an open-source data collector used for continuous log collection with client-side processing in OCI Logging. Two applicable scenarios are:
Managing apps/services which push logs to Object Storage (A): FluentD can be configured to collect logs from applications or services (e.g., Oracle Functions) that write logs to Object Storage buckets. It processes these logs client-side and forwards them to OCI Logging or Logging Analytics.
Comprehensive monitoring for OKE/Kubernetes (B): FluentD is widely used in Kubernetes environments like Oracle Container Engine for Kubernetes (OKE) to collect logs from pods, containers, and nodes. It processes these logs locally before sending them to OCI services for analysis.
Why not C or D?
Monitoring unsupported systems (C): While possible, this is not a primary FluentD scenario in OCI-it's more about extending Management Agent capabilities.
Log Source (D): This is a component of Logging Analytics, not a FluentD scenario.
FluentD's flexibility makes it ideal for these use cases in OCI's observability ecosystem.


NEW QUESTION # 16
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?

  • A. CpuUtilization[1m].max()
  • B. CpuUtilization[1m](shape "VM.Standard.E4.Flex").max()
  • C. cpuutilization[1m].max().grouping().sum()
  • D. (CpuUtilization[1m].max() > 80).grouping().sum()

Answer: D

Explanation:
An MQL query for an alarm must evaluate a condition:
(CpuUtilization[1m].max() > 80).grouping().sum() (B):
CpuUtilization[1m]: Queries CPU utilization over 1-minute intervals.
.max(): Takes the maximum value per interval.
> 80: Sets a threshold (80%).
.grouping().sum(): Aggregates across metric streams, triggering the alarm if the sum exceeds 80%.
This is a complete alarm query.
Why not A, C, or D?
A: Filters by shape but lacks a threshold or alarm condition.
C: Missing condition for alarming.
D: No threshold; case sensitivity doesn't match OCI convention.
B ensures threshold-based alerting.


NEW QUESTION # 17
What is enabled by the SQL Warehouse application within Operations Insights?

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

Answer: A

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 # 18
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)

  • A. Cloud Agent
  • B. Management Agent
  • C. Java Agent
  • D. Browser Agent

Answer: C,D

Explanation:
OCI APM uses specific agents for data collection:
Java Agent (B): Attaches to Java applications to collect traces, metrics, and errors for APM.
Browser Agent (D): A JavaScript snippet embedded in web pages to collect Real User Monitoring (RUM) data (e.g., page load times).
Why not A or C?
Management Agent (A): Used for Stack Monitoring/Operations Insights, not APM.
Cloud Agent (C): Monitors compute instances, not an APM-specific agent.
These agents target application and user experience monitoring.


NEW QUESTION # 19
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