Elastic Certified Observability Engineer Exam Study Guide

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Elastic Certified Observability Engineer Preparation Details

Preparing for the Elastic Certified Observability Engineer exam? This study guide organizes every exam objective with official Elastic documentation. Use it to master Heartbeat, Elastic Agent, APM, ingest pipelines, machine learning, and alerting. You can also explore more Elastic certification study guides on the Elastic certification category to keep building your skills.

Elastic Certified Observability Engineer Materials

CourseraObservability Engineering: Metrics, Logs, and Traces
UdemyElastic Observability Engineer Practice + Exam Q [2026]

Uptime

Configure and run Heartbeat to determine the uptime of a process or service

Heartbeat

Configure Heartbeat monitors

Common monitor options

heartbeat.reference.yml

Use Heartbeat to determine if a service is reachable via ICMP, TCP or HTTP

Heartbeat

Configure Heartbeat monitors

Configure lightweight monitors

Uptime monitoring (deprecated)

Use the Uptime app in Kibana to monitor the uptime and availability of a service

Uptime monitoring (deprecated)

Get started

Analyze

View monitor status

Analyze monitors

Inspect uptime duration anomalies

Metrics

Install the Elastic Agent to collect metrics

Install Elastic Agents

Install Fleet-managed Elastic Agents

Quickstart: Monitor hosts with Elastic Agent

Get started with system metrics

Enable and configure integrations to collect the metrics of a specific service

Add an integration to an Elastic Agent policy

Get started with system metrics

Tutorial: Observe your nginx instances

Tutorial: Observe your Kubernetes deployments

Use the Metrics app in Kibana to analyze and answer questions about metrics collected in Elasticsearch

Analyze infrastructure and host metrics

View infrastructure metrics by resource type

Analyze and compare hosts

Explore metrics data with Discover in Kibana

Use the Metrics app to enable and analyze the predefined machine learning jobs

Detect metric anomalies

View infrastructure metrics by resource type

Logging

Install the Elastic Agent to collect logs

Install Elastic Agents

Install Fleet-managed Elastic Agents

Get started with system logs

Send any log file using Elastic Agent

Enable and configure integrations to collect the logs from a specific service

Add an integration to an Elastic Agent policy

Get started with system logs

Quickstart: Monitor hosts with Elastic Agent

Tutorial: Observe your nginx instances

Enable and configure integrations to tail a given custom log file

Send any log file using Elastic Agent

Custom Logs

Add an integration to an Elastic Agent policy

Use the Logs app in Kibana to analyze and answer questions about log events collected in Elasticsearch

Explore logs

Explore logs in Discover

Filter and aggregate logs

Run a pattern analysis on log data

Configure log data sources

Use the Logs app to enable and analyze the predefined machine learning jobs

Inspect log anomalies

Categorize log entries

APM

Use the APM app in Kibana to analyze and answer questions about APM data collected in Elasticsearch

Get started with traces and APM

Services

Traces UI

Transactions UI

Errors UI

Metrics UI

Service map in Elastic APM

Use the Real Experience app in Kibana to analyze and answer questions about RUM data collected in Elasticsearch

Real user monitoring

Real User Monitoring (RUM)

Create and upload source maps (RUM)

Edit and configure the APM integration

Work with APM Server

Fleet-managed APM Server

General configuration options

Switch to the Elastic APM integration

Structuring and Processing Data

Use Kibana to edit or define an ingest node pipeline

Ingest pipelines

Transform data with custom ingest pipelines

Parse and route logs using ingest pipelines

Configure the custom logs integration to use an ingest pipeline

Custom Logs

Transform data with custom ingest pipelines

Ingest pipelines

Send any log file using Elastic Agent

Define ingest node pipelines that use the various processors, including (but not limited to) append, convert, date, dissect, dot expander, geoip, grok, fail, json, remove, rename, set, and split

Ingest pipelines

Ingest processor reference

Append processor

Convert processor

Date processor

Dissect processor

Dot expander processor

GeoIP processor

Grok processor

Fail processor

JSON processor

Remove processor

Rename processor

Set processor

Split processor

Working with Observability Data

Find anomalies in Observability data using the predefined machine learning jobs in Kibana

Detect metric anomalies

Inspect log anomalies

Inspect uptime duration anomalies

Integrate with Machine Learning

Define a machine learning job in Kibana on Observability data

Detect anomalies

Anomaly detection

Define or edit an Index Lifecycle Management policy for indices

Create an index lifecycle management policy in Elasticsearch

Index lifecycle management

Define an alert using Kibana Alerts

Alerting

Create and manage rules

Custom threshold

Metric threshold

Log threshold

Monitor Status

Create dashboards that use visualizations based on Observability data

Create a dashboard from the Kibana UI

Lens visualizations

Dashboards

Wrapping Up Elastic Certified Observability Engineer

This Elastic Certified Observability Engineer study guide covered uptime, metrics, logging, APM, data processing, and observability data analysis with official Elastic documentation. Work through every link hands-on, since the exam is performance-based, and you will be ready. You can also explore more Elastic certification study guides on the Elastic certification category to keep building your skills. Have a question or tip? Leave a comment below.

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