Exam: 1Z0-1111-25
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Format: Multiple Choice
Duration: 90 minutes
Exam Price: $25
Number of Questions: 50
Passing Score: 68%
Validation: This Exam has been validated against Oracle Cloud Infrastructure
2025
Policy: Cloud Recertification
Earn associated certifications
Passing this exam is required to earn these certifications. Select each
certification title below to view full requirements.
Oracle Cloud Infrastructure 2025 Certified Observability Professional
Prepare to pass exam: 1Z0-1111-25
The Oracle Cloud Infrastructure 2025 Observability Professional
Certification is designed for Site Reliability Engineers, Cloud Operations,
Application Developers, Cloud Administrators, and roles involved in monitoring
and troubleshooting OCI environments. The target candidate should be familiar
with core OCI services such as Compute, Storage and Networking. The exam
validates the following topics:
• Distinguish the purpose of OCI Observability and Management platform
• Demonstrate OCI Monitoring service with metrics and alarms
• Illustrate how to respond to cloud resource changes in real-time using OCI
Events
• Describe centralized management of log data with OCI Logging
• Create visualizations and identify log data patterns with OCI Logging
Analytics
• Explore methods to monitor applications with deep visibility using OCI
Application Performance Monitoring
• Explain monitoring of distributed components in an application stack with OCI
Stack Monitoring
Take recommended training
Complete one of the courses below to prepare for your exam (optional):
Become an OCI Observability Professional (2025)
Additional Preparation and Information
A combination of Oracle training and hands-on experience (attained via labs
and/or field experience), in the learning subscription, provides the best
preparation for passing the exam.
Review exam topics
The following table lists the exam objectives and their weightings.
Objectives % of Exam
Define the pillars of Observability 7%
Monitor cloud environments with metrics and alarms 18%
Respond to cloud resource changes in real-time 10%
Centrally manage and visualize log data 16%
Identify log data patterns and create visualizations for advanced analytics 22%
Monitor applications with deep visibility into end-user experience 20%
Monitor distributed components of an application stack 7%
Define the pillars of Observability
Summarize on OCI Observability and Management Services
Monitor cloud environments with metrics and alarms
Explain the key concepts of Monitoring Service
Discuss on enabling Metrics for monitoring OCI resources
Configure Alarm Definitions using best practices
Respond to cloud resource changes in real-time
Analyze the key concepts of Events Service
Determine Event Structure, Event Types and Rules
Respond to Events and integration with OCI services
Centrally manage and visualize log data
Distinguish log categories and enabling log collection from sources
Explore managing and searching logs from entire log estate
Create Connectors for Log Transitions
Identify log data patterns and create visualizations for advanced analytics
Distinguish the key concepts of Logging Analytics
Explore log ingestion methods for Logging Analytics
Analyze on search, filter and visualize logs
Present advanced analytics and features for troubleshooting
Monitor applications with deep visibility into end-user experience
Explore the key concepts of Application Performance Monitoring (APM)
Instrument applications for data collection
Examine visualizing and analyzing performance data
Monitor distributed components of an application stack
Identify the key concepts of Stack Monitoring
Analyze on discovering resources and monitoring with metrics
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QUESTION 1
You are working on a project to automate the deployment of Oracle Cloud
Infrastructure (OCI)
compute instances that are pre-configured with web services. As part of the
deployment workflow,
you also need to create a corresponding OCI object storage bucket bearing the
same name as that of
the compute instance. Which of these two options can help you achieve this
requirement? (Choose two.)
A. Cloud Agent Plugin for the compute instance
B. Service Connector Hub
C. Oracle Functions
D. OCI CLI command, oci os bucket create auto
E. Events Service
Answer: B, C
Explanation:
To automate the creation of an OCI Object Storage bucket with the same name as a
compute
instance during deployment, you need a mechanism to detect the instance creation
event and trigger
an action to create the bucket. Two OCI services that can achieve this are
Service Connector Hub and
Oracle Functions, used in conjunction with the Events Service.
Service Connector Hub (B): This service acts as a cloud message bus that
facilitates data movement
between OCI services. You can configure a service connector with the Events
Service as the source
(to detect compute instance creation events, e.g.,
com.oraclecloud.computeapi.launchinstance.end)
and Oracle Functions as the target. The service connector filters and routes the
event to trigger a function.
Oracle Functions (C): This is a serverless platform that allows you to write and
execute code in
response to events. You can create a function that retrieves the compute
instance name from the
event payload and uses the OCI SDK or API to create an Object Storage bucket
with the same name.
Why not A, D, or E alone?
Cloud Agent Plugin (A): This is used for monitoring and managing compute
instances but does not
directly support bucket creation automation.
OCI CLI command (D): The command oci os bucket create auto is not a valid OCI
CLI command (oci os
bucket create is valid but requires manual invocation or scripting, not
event-driven automation).
Events Service (E): While critical for detecting instance creation, it alone
cannot execute the logic to
create a bucket”it needs a target like Functions or Notifications.
This solution leverages the event-driven architecture of OCI, combining Events
Service (implicitly
used with Service Connector Hub) and Oracle Functions for execution.
Reference: OCI Events Service, Service Connector Hub, Oracle Functions
QUESTION 2
What happens in Stack Monitoring after Management Agents are set up and
resources are discovered?
A. Metric data is immediately collected
B. Alarm rules will trigger when resources are down or performance thresholds
are crossed
C. Management Agents discover resources that are running locally on the instance
D. OCI Notifications send email notifications
Answer: A
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 dont 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 Monitorings purpose of providing real-time visibility
into resource performance.
Reference: Stack Monitoring Overview, Management Agent
QUESTION 3
What are the two items required to create a rule for the Oracle Cloud
Infrastructure (OCI) Events Service? (Choose two.)
A. Management Agent Cloud Service
B. Actions
C. Rule Conditions
D. Install Key
E. Service Connector
Answer: B, C
Explanation:
To create a rule in the OCI Events Service, you need to define what triggers the
rule and what
happens when its triggered. The two required components are:
Actions (B): These specify the tasks to perform when an event matches the rule
(e.g., invoking a
function, sending a notification, or streaming to a service). Without an action,
the rule has no effect.
Rule Conditions (C): These define the criteria for matching events (e.g., event
type like
com.oraclecloud.computeapi.launchinstance.end or resource attributes).
Conditions filter which
events trigger the rule.
Why not A, D, or E?
Management Agent Cloud Service (A): This is unrelated to Events Service rules;
its for monitoring resources.
Install Key (D): This is used for agent installation, not event rules.
Service Connector (E): While it can work with Events Service, its a separate
service and not a
required component of an event rule itself.
These two elements form the core of an OCI Events Service rule, enabling
event-driven automation.
Reference: OCI Events Service Rules
QUESTION 4
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. Comprehensive monitoring for OKE/Kubernetes
C. Monitoring systems that are not currently supported by Management Agent
D. Log Source
Answer: A, B
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”
its more about extending Management Agent capabilities.
Log Source (D): This is a component of Logging Analytics, not a FluentD
scenario.
FluentDs flexibility makes it ideal for these use cases in OCIs observability
ecosystem.
Reference: FluentD with OCI Logging, OKE Logging
QUESTION 5
Which of the following is not a key interaction element in the Log Explorer UI
of Logging Analytics?
A. Fields Panel
B. Time Picker
C. Scope Filter
D. Dashboard
Answer: D
Explanation:
The Log Explorer UI in OCI Logging Analytics includes four key interaction
elements: Fields Panel,
Time Picker, Scope Filter, and Results Panel. These allow users to search,
filter, and analyze logs
interactively.
Dashboard (D): This is not part of the Log Explorer UI. Dashboards are separate
visualizations in
Logging Analytics for summarizing data, not an interactive element of the Log
Explorer.
Why A, B, and C are key elements:
Fields Panel (A): Displays log fields for filtering and analysis.
Time Picker (B): Sets the time range for log queries.
Scope Filter (C): Defines the scope (e.g., compartments, log groups) of the log
search.
Reference: Log Explorer UI
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