OCI Observability Professional study guide
OCI Observability Professional · Work through your exam, one topic at a time.
The Oracle Cloud Infrastructure Observability Professional is an Oracle certification exam identified by the code 1Z0-1107-2. It targets cloud engineers, SREs, and operations staff who build and run observability on OCI - monitoring metrics and alarms, centralized logging, application performance monitoring, and event routing through Service Connector Hub. This page is an independent study companion; it is not affiliated with, endorsed by, or sponsored by Oracle, and it is not an official exam guide. Exam logistics - question count, time limit, passing score, fee, delivery format, retake rules, and score validity - are not published here because the Oracle University exam page could not be retrieved when this profile was compiled; those fields are intentionally left blank rather than estimated, and the profile is flagged for review. The OCI Observability Professional study guide has 4 sections and about 1,355 words.
01Monitoring
The Monitoring domain tests how you convert OCI metrics into alarms that reach the right person, not just how to read a console chart. Metrics live in namespaces such as oci computeagent , oci blockstore , oci vcn , and oci lb .
344 words, about 2 min02Logging
The Logging domain tests collection, routing, and search: which logs are on by default, how service logs differ from agent logs, and how retention and access are controlled. OCI Logging organizes logs into regional log groups.
340 words, about 2 min03Application Performance Monitoring
The APM domain tests whether you can instrument an application, separate real-user from synthetic traffic, and use traces to find the slow span. An APM domain is a regional container with a data upload endpoint and data keys.
359 words, about 2 min04Service Connector Hub and Alarms/Notifications
The Service Connector Hub and alarms/notifications domain tests data movement and alert delivery. Service Connector Hub moves records from a source to a target, optionally through a filter task.
312 words, about 2 min