Elastic Certified Engineer Exam Study Guide

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Elastic Certified Engineer Preparation Details

This Elastic Certified Engineer study guide maps every exam objective to official Elastic documentation, covering architecture, data management, ingestion, search, cluster management, and security. Use it to prepare for the hands-on, performance-based exam. You can also explore more Elastic certification study guides on the Elastic certification category to keep building your skills.

Elastic Certified Engineer Materials

CourseraElasticsearch 8 and the Elastic Stack
UdemyElastic Certified Engineer Practice Tests | Exam [2026]

Elasticsearch Architecture

Describe the Elastic Stack architecture

Distributed architecture

Clusters, nodes, and shards

Node roles

Reading and writing documents

Discovery and cluster formation

Describe shard sizing and allocation strategies

Size your Elasticsearch shards

Shard allocation, relocation, and recovery

Index-level shard allocation

Shard allocation awareness

Delaying allocation when a node leaves

Cluster-level shard allocation and routing settings

Data Management

Define an index that satisfies a given set of requirements

Index fundamentals

Explicit mapping

Dynamic mapping

Templates

Define and use a dynamic template that satisfies a given set of requirements

Dynamic templates

Dynamic mapping

Dynamic field mapping

Runtime fields

Update mapping API examples

Define an Index Lifecycle Management policy for a time-series index

Create an index lifecycle management policy in Elasticsearch

Index lifecycle management

ILM phases and actions

Index rollover and routing allocation

Manage time series data with data streams

Apply a policy to an existing index

Check the ILM status of Elasticsearch indices and data streams

Define an index template that creates a new data stream

Set up a data stream

Templates

Data streams

Use a data stream

Modify a data stream

Simulate multi-component templates

Define and use index aliases

Aliases

Index rollover and routing allocation

Manage time series data without data streams

Templates

Data Ingestion & Processing

Select and configure appropriate ingest methods

Ingest: Bring your data to Elastic

Ingest for search use cases

Ingesting time series data

Ingest tools overview

Upload data files

Define a mapping that satisfies a given set of requirements

Mapping

Explicit mapping

Dynamic mapping

Mapping reference

Update mapping API examples

Define and use appropriate field data types to satisfy given indexing, search, and aggregation requirements.

Field data types

Mapping parameters

Runtime fields

Text analysis

Mapping

Use the Reindex API and Update By Query API to reindex and/or update documents

Reindex documents

Update documents

Migrate data using the reindex API

Define and use an ingest pipeline that satisfies a given set of requirements

Elasticsearch ingest pipelines

Transform and enrich data

Ingest processor reference

Error handling

Data enrichment

Set up an enrich processor

Ingest and process data using Streams

Streams

Process your documents with Streams

Streamlang reference

Searching Data

Write and execute a search query for terms and/or phrases in one or more fields of an index

Match query

Match phrase query

Term query

Terms query

Query and filter context

Write and execute a search query that is a Boolean combination of multiple queries and filters

Boolean query

Query and filter context

minimum_should_match parameter

Write and execute metric and bucket aggregations

Aggregations

Terms aggregation

Date histogram aggregation

Avg aggregation

Write and execute ES|QL queries

ES|QL

Get started with ES|QL queries

ES|QL tutorials

Implement semantic search

Semantic search for text

Semantic search with semantic_text

Search and retrieve semantic_text fields

Write and execute a query that searches across multiple clusters

Cross-cluster search

Remote clusters

Security models

Connection modes

Cluster Management

Monitor and maintain cluster health

Monitoring

Stack monitoring

Red or yellow cluster health status

Full Cluster restart and rolling restart procedures

Add and Remove Elasticsearch nodes

Create, monitor and delete snapshots

Perform cross-cluster operations

Remote clusters

Cross-cluster replication

Set up cross-cluster replication

Manage cross-cluster replication

Manage auto-follow patterns

Cross-cluster search

Security & Access Control

Implement role-based access control (RBAC)

User roles

Defining roles

Role structure

Built-in roles

Elasticsearch privileges

Map users and groups to roles

Control access at the document and field level

Secure a cluster for production

Secure your cluster, deployment, or project

Self-managed security setup

Minimal security setup

Set up transport TLS

Set up HTTPS

Run Elasticsearch in production

Network security

Wrapping Up Elastic Certified Engineer

This Elastic Certified Engineer study guide walked through all six exam domains with official Elastic documentation for every objective. Work through each section hands-on in a live cluster, and you will be well prepared for exam day. 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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