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Get All Oracle Cloud Infrastructure 2025 Observability Professional Exam Questions with Validated Answers
| Vendor: | Oracle |
|---|---|
| Exam Code: | 1Z0-1111-25 |
| Exam Name: | Oracle Cloud Infrastructure 2025 Observability Professional |
| Exam Questions: | 61 |
| Last Updated: | July 9, 2026 |
| Related Certifications: | Oracle Cloud , Oracle Cloud Infrastructure |
| Exam Tags: | Intermediate Level Oracle Cloud Architects |
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Which are the two components that the Management Agent solution includes in the Cloud service? (Choose two.)
The Management Agent solution comprises:
Management Gateway (B): A secure proxy that encrypts and forwards data from Management Agents to OCI services.
Management Agent (D): A lightweight process that collects and sends telemetry data from resources.
Why not A or C?
OCI Logging Analytics (A): A consumer of agent data, not a component of the solution.
Cloud assets (C): A vague term, not a specific component.
These components enable secure data collection.
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?
For continuous log ingestion from Object Storage:
ObjectCollection Rule (A): A Logging Analytics feature that monitors Object Storage buckets and ingests logs based on defined patterns (e.g., bucket name, object prefix). It's designed for this purpose.
Why not B, C, or D?
Object Store (B), Object Storage (C), Object Store Bucket (D): These refer to the storage service or its components, not a method for log ingestion.
ObjectCollection Rule ensures automated, ongoing log collection.
Which of the following capabilities does the performance management feature of Database Management Services offer to a managed database?
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.
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.)
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.
From the following, select the different metric namespaces used for APM.
APM uses specific metric namespaces to categorize its telemetry data:
oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring (D):
oracle_apm_rum: Metrics from Real User Monitoring (e.g., page load times).
oracle_apm_synthetics: Metrics from Synthetic Monitoring (e.g., test response times).
oracle_apm_monitoring: Metrics from distributed tracing (e.g., span counts).
These namespaces align with APM's three core features.
Why not A, B, or C?
A: Individual metric names, not namespaces.
B: Incomplete and incorrect namespace naming.
C: Mixes metric types with partial namespace names.
These namespaces enable targeted metric queries in OCI Monitoring.
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