Earn associated certifications
Passing this exam is required to earn these certifications. Select each certification title below to view full requirements.
Oracle Cloud Infrastructure 2023 Certified Observability Professional
Format: Multiple Choice
Duration: 90 minutes
Exam Price: $
Number of Questions: 55
Passing Score: 65%
Validation: This Exam has been validated against Oracle Cloud Infrastructure 2023.
Policy: Cloud Recertification
Prepare to pass exam: 1Z0-1111-23
The Oracle Cloud Infrastructure Observability Professional certification acknowledges that the candidate has demonstratable skills in using the OCI Observability and Management (O&M) Platform with Monitoring Services to actively and passively monitor cloud resources, Events Services to automatically respond to cloud resource changes, Logging Services to centrally visualize log data, Logging Analytics to troubleshoot problems and anomalies, Application Performance Monitoring for deep visibility into end-user experience, and Database Management Services to administer Oracle databases. This credential also confirms that the candidate is proficient in analyzing capacity, monitoring distributed components of applications, enabling data collection between environments, and creating visualizations using the various O&M services.
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Take recommended training
Complete one of the courses below to prepare for your exam (optional):
Become an Oracle Cloud Infrastructure Observability Professional (2023)
Practice Exam
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
Introducing Observability and Management 3%
Monitoring environments using Monitoring Service 13%
Responding to cloud resource changes in real-time using Events Service 10%
Visualizing log data using Logging Service 13%
Identifying patterns and root causes from log data using Logging Analytics 24%
Providing deep visibility into application performance using Application Performance Monitoring 21%
Monitoring distributed components of an entire application stack using Stack Monitoring 7%
Enabling data collection across environments using Management Agent 5%
Creating visualization with key data points using Dashboards 4%
Introducing Observability and Management
Define Observability and introduce OCI Observability and Management Services
Monitoring environments using Monitoring Service
Key Concepts of Monitoring Service
Enable monitoring in Oracle Cloud environments
Configure metrics and alarm definitions using best practices
Responding to cloud resource changes in real-time using Events Service
Explain the key concepts of Events Service
Describe Event Structure, Event Types, and Rules
Respond to events and integrate with OCI services
Visualizing log data using Logging Service
Explain the key concepts of Logging Service
Enable log collection from sources for Log Categories
Manage and search logs from log estates
Configure Service Connector Hub for Log Transitions
Identifying patterns and root causes from log data using Logging Analytics
Explain the key concepts of Logging Analytics
Enable log ingestion methods for Logging Analytics
Search, filter, and visualize logs
Run Advanced Analytics for troubleshooting
Providing deep visibility into application performance using Application Performance Monitoring
Explain the key concepts of Application Performance Monitoring (APM)
Instrument applications for data collection
Visualize and analyze performance data
Monitoring distributed components of an entire application stack using Stack Monitoring
Explain the key concepts of Stack Monitoring
Discover resources and monitor using metrics
Enabling data collection across environments using Management Agent
Explain the architecture of the Management Agent cloud service
Creating visualization with key data points using Dashboards
Explain the key concepts of Dashboards
QUESTION 1
What step must be performed to enable Operations Insights for an Autonomous Database?
A. Configure an OCI Bridge for the Database
B. Create an Object Storage Bucket for the Database
C. Install a Management Agent on the Database
D. Enable Operations Insights for the Database
Answer: D
Explanation:
To enable Operations Insights for an Autonomous Database, you need to enable Operations Insights
for the database in the Autonomous Database details page. This will allow you to monitor and
analyze the performance, resource utilization, and SQL activity of your Autonomous Database.
QUESTION 2
Which response contains rich information to process for analytics?
A. Entity types
B. Logging Analytic Entities
C. Database Audit Logs
D. Log Sources
Answer: C
Explanation:
Database Audit Logs contain rich information to process for analytics, such as user actions, database
operations, and security events. Logging Analytics can ingest and analyze these logs to provide
insights into the health and performance of your databases.
QUESTION 3
Which two features are provided by Application Performance Monitoring? (Choose two.)
A. Java Management
B. Distributed Tracing
C. Real User Monitoring
D. Capacity Planning
Answer: B, C
Explanation:
Application Performance Monitoring provides two features: Distributed Tracing and Real User
Monitoring. Distributed Tracing allows you to monitor and troubleshoot the performance of your
microservices applications by tracing the requests across different services and components. Real
User Monitoring allows you to measure and improve the user experience of your web applications by
capturing and analyzing the real user sessions, page load times, errors, and feedback.
QUESTION 4
Which of the following is not a key interaction element in Log Explorer UI of Logging Analytics?
A. Time Picker
B. Dashboard
C. Fields Panel
D. Scope Filter
Answer: B
Explanation:
Dashboard is not a key interaction element in Log Explorer UI of Logging Analytics. The Log Explorer
UI consists of four key interaction elements: Time Picker, Fields Panel, Scope Filter, and Results Panel.
These elements allow you to search, filter, analyze, and visualize your log data.
QUESTION 5
Your on-premises private cloud environment consists of virtual machines hosting a set of application
servers. These VMs are currently monitored using a 3rd party monitoring tool for resource metrics
such as CPU and Memory utilization. You have created an automation work-flow to transform these
application servers into Oracle Cloud Infrastructure (OCI) which will deploy a set of new compute
instances. There are a few requirements to consider while running this task: Ensure continuous
monitoring is enabled, so the current monitored resource metrics are continuously collected and
reported. Monitor the completion of Compute In-stance deployment during the workflow and
notify with email on each execution. Notify with email for any new OCI Object Storage buckets
created after the migration workflow. What solution would you recommend to achieve these requirements?
A. Configure OCI Compute agent on on-premises VMs to collect required resource met-rics. Use OCI
Events service to track all deployments (com.oraclecloud.computeapi.launchinstance.end) with OCI
Notifications service to track and report all changes occurring in the target environment.
B. Configure OCI Compute agent on OCI compute instances to collect required resource metrics. Use
OCI Events and Functions services to track the Instance deployment
(com.oraclecloud.computeapi.launchinstance.end) and creation of new buckets
(com.oraclecloud.objectstorage.createbucket). Use OCI Notifications and Events service to notify these changes.
C. Configure OCI Compute agent on on-premises VMs and OCI compute instances to collect required
resource metrics. Use OCI Events service to track the end-to-end deployment process
(com.oraclecloud.compute api.launchinstance.end) and creation of new bucket
(com.oraclecloud.objectstorage.createbucket). Use OCI Notifications and Events services to notify these changes.
D. Configure both 3rd party monitoring tool and OCI Compute Agent on OCI compute instances to
collect required resource metrics. Use OCI Events service
(com.oraclecloud.computeapi.launchinstance.end) with Notifications service to track and notify all
changes occurring in the target OCI environment.
Answer: C
Explanation:
To ensure continuous monitoring of both on-premises VMs and OCI compute instances, you need to
configure OCI Compute agent on both sources to collect the required resource metrics. The OCI
Compute agent is a lightweight process that monitors the host and the processes running on the
host. You can use OCI Events service to track the end-to-end deployment process
(com.oraclecloud.computeapi.launchinstance.end) and creation of new buckets
(com.oraclecloud.objectstorage.createbucket) in your target environment. You can use OCI
Notifications and Events services to notify these changes via email or other supported protocols.
QUESTION 6
Which is an example of Log Sources in Logging Analytics?
A. Windows Events, Syslog Listener, and Database SQL parsers
B. Long, Integer, String fields
C. JSON, XML, CSV files
D. File, Database, Windows Events System, Syslogs
Answer: A
Explanation:
Log Sources in Logging Analytics are predefined parsers that can extract fields from various types of
log data, such as Windows Events, Syslog Listener, and Database SQL parsers. Log Sources also
provide predefined labels, extended fields, and log origin information for each log type.
QUESTION 7
As a solutions architect of the Oracle Cloud Infrastructure (OCI) tenancy, you have been asked to
provide members of the CloudOps group the ability to view and retrieve monitoring metrics, but
only for all monitoring-enabled compute instances. Which policy statement would you define to
grant this access?
A. Allow group cloudops to read compute-metrics in tenancy
B. Allow group cloudops to read metrics in tenancy where target. metrics.monitoring=’oci_computeagent’
C. Restricting monitoring access only to compute instances metrics is not possible.
D. Allow group cloudOps to read metrics in tenancy where target.metrics.namespace- ‘oci_computeagent’
Answer: B
Explanation:
To grant the CloudOps group the ability to view and retrieve monitoring metrics only for all
monitoring-enabled compute instances, you need to use a policy statement with a condition that
filters by the metric namespace. The metric namespace is a unique name that identifies the source of
the metrics. For compute instances, the metric namespace is oci_computeagent. Therefore, the
policy statement should be: Allow group cloudops to read metrics in tenancy where
target.metrics.namespace=˜oci_computeagent
