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Learn and Pass Elastic Certified Engineer Exam V8.1 – 2023 Edition

What you will learn

Learn and Pass Elastic Certified Engineer Exam V8.1 – 2023 Edition

Data Management

Searching Data

Developing Search Applications

Data Processing

Cluster Management

Description

Data Management

Define an index that satisfies a given set of requirements

Define and use an index template for a given pattern that satisfies a given set of requirements

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

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

Define an index template that creates a new data stream

Searching Data

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

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

Write an asynchronous search

Write and execute metric and bucket aggregations

Write and execute aggregations that contain sub-aggregations

Write and execute a query that searches across multiple clusters

Write and execute a search that utilizes a runtime field

Developing Search Applications

Highlight the search terms in the response of a query

Sort the results of a query by a given set of requirements


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Implement pagination of the results of a search query

Define and use index aliases

Define and use a search template

Data Processing

Define a mapping that satisfies a given set of requirements

Define and use a custom analyzer that satisfies a given set of requirements

Define and use multi-fields with different data types and/or analyzers

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

Define and use an ingest pipeline that satisfies a given set of requirements, including the use of Painless to modify documents

Define runtime fields to retrieve custom values using Painless scripting

Cluster Management

Diagnose shard issues and repair a cluster’s health

Backup and restore a cluster and/or specific indices

Configure a snapshot to be searchable

Configure a cluster for cross-cluster search

Implement cross-cluster replication

English
language

Content

Introduction

Elastic Certified Engineer Exam Strategy, Tips and Tricks
Elasticsearch Nodes Shards Replicas and Cluster
Elasticsearch Install on Windows
Elasticsearch Install On Mac
Elasticsearch Install on Mac, Brew Method – Please Ignore if you have done above
Elasticsearch on Elastic Cloud
Elasticsearch CRUD Operations
Elasticsearch Basics
Elasticsearch Loading Bulk Sample Data and some Casual Searches

1 – Data Management

Define an index that satisfies a given set of requirements
Define and use an index template satisfy given set of requirements
Define and use a dynamic template that satisfies a given set of requirements
Define an Index Lifecycle Management policy for a time-series index
Define an index template that creates a new data stream
Scenario Based Question – Data Streams, ILM, Component Template, Index Template

2 – Searching Data

Write an asynchronous search
Write and execute a query that searches across multiple clusters
Write and execute a search query for terms and or phrases in one or more fields
Write and execute a search query that is a Boolean combination of multiple query
Write and execute a search that utilizes a runtime field
Write and execute aggregations that contain sub-aggregations
Write and execute metric and bucket aggregations
Movie Data Dataset Upload Install
Addresses Dataset Upload Install
Scenario Based Question – Nested Aggregation – Async Search
Scenario Based Question – Sibling Aggregation
Question – Runtime Field Mapping and Range Aggregation
Scenario Based Question – Multi Match Query

3 – Developing Search Applications

Define and use a search template
Define and use index aliases
Highlight the search terms in the response of a query
Implement pagination of the results of a search query
Sort the results of a query by a given set of requirements
Scenario Based Question – Search Template, Highlighting and Query Parameters

4 – Data Processing

Define a mapping that satisfies a given set of requirements
Define and use a custom analyzer that satisfies a given set of requirements
Define and use multi-fields with different data types and/or analyzers
Use the Reindex API and Update By Query API to reindex and or update documents
Define and use an ingest pipeline that satisfies a given set of requirements
Define runtime fields to retrieve custom values using Painless scripting
Scenario Based Question – Update By Query
Scenario Based Question – Custom Analyzer and Reindex API

5 – Cluster Management

Backup and restore a cluster and or specific indices
Scenario Based Question – Register Repository and Take Backup
Configure a cluster for cross-cluster search
Configure a snapshot to be searchable
Diagnose shard issues and repair a cluster’s health
Implement cross-cluster replication