Elasticsearch Interview Questions
Check out 30 of the most common Elasticsearch interview questions and take an AI-powered practice interview
What is Elasticsearch and when should you use it?
How do you connect to Elasticsearch?
What are the basic data types in Elasticsearch?
How do you create and manage databases in Elasticsearch?
What are tables/collections in Elasticsearch?
How do you perform CRUD operations in Elasticsearch?
What are primary keys and foreign keys in Elasticsearch?
How do you write basic queries in Elasticsearch?
What are joins/lookups in Elasticsearch?
How do you handle NULL values in Elasticsearch?
What are constraints in Elasticsearch?
How do you import/export data in Elasticsearch?
How do you optimize queries in Elasticsearch?
What is indexing in Elasticsearch?
How do you handle transactions in Elasticsearch?
What are stored procedures/functions in Elasticsearch?
How do you implement data validation in Elasticsearch?
What is normalization/denormalization in Elasticsearch?
How do you handle concurrent access in Elasticsearch?
What are triggers in Elasticsearch?
How do you implement full-text search in Elasticsearch?
What is query execution plan in Elasticsearch?
How do you handle large datasets in Elasticsearch?
What are views in Elasticsearch?
How do you monitor performance in Elasticsearch?
How do you implement sharding in Elasticsearch?
What is replication strategy in Elasticsearch?
How do you handle distributed Elasticsearch?
What are advanced optimization techniques in Elasticsearch?
How do you implement high availability in Elasticsearch?
Frequently Asked Questions
What is Elasticsearch used for?
Elasticsearch is widely used for storing, managing, and retrieving data efficiently. It's valued for its performance, reliability, and extensive ecosystem.
How long does it take to learn Elasticsearch?
Learning Elasticsearch basics typically takes 1-3 months of dedicated study. Achieving proficiency requires 6-12 months of practice and real-world projects. Mastery comes with years of experience and continuous learning.
What are the job prospects for Elasticsearch developers?
Elasticsearch developers are in high demand across industries. With strong Elasticsearch skills, you can pursue roles in database administration, data engineering, with competitive salaries ranging from ₹8-26 LPA.
What prerequisites are needed for learning Elasticsearch?
Understanding of data structures and basic SQL are helpful prerequisites for learning Elasticsearch.
Which companies use Elasticsearch?
Major companies using Elasticsearch include Google, Amazon, Microsoft, Meta, Netflix, and many more. Elasticsearch is adopted across startups to enterprise organizations.
Introduction
Preparing for database interviews with Elasticsearch expertise? Database knowledge is fundamental for any developer working with data-driven applications.
Elasticsearch is widely used for data storage, retrieval, and management. Understanding its architecture, query optimization, and best practices is essential.
This guide covers Elasticsearch interview questions ranging from basic CRUD operations to advanced topics like indexing, replication, and performance tuning.
Whether you're a backend developer or data engineer, these questions will help you demonstrate strong database expertise.
