PostgreSQL Interview Questions

Check out 30 of the most common PostgreSQL interview questions and take an AI-powered practice interview

SQLJSONBPostGISIndexingACID
30+
Questions
12
Basic
13
Intermediate
5
Advanced
Q1

What is PostgreSQL and when should you use it?

BasicFundamentals
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Q2

How do you connect to PostgreSQL?

BasicConnections
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Q3

What are the basic data types in PostgreSQL?

BasicData Types
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Q4

How do you create and manage databases in PostgreSQL?

BasicDatabase Management
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Q5

What are tables/collections in PostgreSQL?

BasicTables & Schema
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Q6

How do you perform CRUD operations in PostgreSQL?

BasicCRUD Operations
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Q7

What are primary keys and foreign keys in PostgreSQL?

BasicKeys & Relationships
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Q8

How do you write basic queries in PostgreSQL?

BasicQueries
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Q9

What are joins/lookups in PostgreSQL?

BasicJoins & Relationships
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Q10

How do you handle NULL values in PostgreSQL?

BasicNULL Handling
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Q11

What are constraints in PostgreSQL?

BasicConstraints
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Q12

How do you import/export data in PostgreSQL?

BasicData Migration
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Q13

How do you optimize queries in PostgreSQL?

IntermediateQuery Optimization
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Q14

What is indexing in PostgreSQL?

IntermediateIndexing
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Q15

How do you handle transactions in PostgreSQL?

IntermediateTransactions
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Q16

What are stored procedures/functions in PostgreSQL?

IntermediateStored Procedures
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Q17

How do you implement data validation in PostgreSQL?

IntermediateValidation
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Q18

What is normalization/denormalization in PostgreSQL?

IntermediateNormalization
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Q19

How do you handle concurrent access in PostgreSQL?

IntermediateConcurrency
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Q20

What are triggers in PostgreSQL?

IntermediateTriggers
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Q21

How do you implement full-text search in PostgreSQL?

IntermediateSearch
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Q22

What is query execution plan in PostgreSQL?

IntermediateExecution Plans
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Q23

How do you handle large datasets in PostgreSQL?

IntermediateBig Data
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Q24

What are views in PostgreSQL?

IntermediateViews & Templates
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Q25

How do you monitor performance in PostgreSQL?

IntermediateMonitoring
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Q26

How do you implement sharding in PostgreSQL?

AdvancedSharding
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Q27

What is replication strategy in PostgreSQL?

AdvancedReplication
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Q28

How do you handle distributed PostgreSQL?

AdvancedDistributed Systems
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Q29

What are advanced optimization techniques in PostgreSQL?

AdvancedAdvanced Topics
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Q30

How do you implement high availability in PostgreSQL?

AdvancedHigh Availability
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Companies Hiring PostgreSQL

Google
Amazon
Microsoft
Meta
Netflix
Uber
PayPal
LinkedIn
Spotify
Airbnb

Salary Insights

Average in India
₹6-20 LPA

Frequently Asked Questions

What is PostgreSQL used for?

PostgreSQL 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 PostgreSQL?

Learning PostgreSQL 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 PostgreSQL developers?

PostgreSQL developers are in high demand across industries. With strong PostgreSQL skills, you can pursue roles in database administration, data engineering, with competitive salaries ranging from ₹6-20 LPA.

What prerequisites are needed for learning PostgreSQL?

Understanding of data structures and basic SQL are helpful prerequisites for learning PostgreSQL.

Which companies use PostgreSQL?

Major companies using PostgreSQL include Google, Amazon, Microsoft, Meta, Netflix, and many more. PostgreSQL is adopted across startups to enterprise organizations.

Introduction

Preparing for database interviews with PostgreSQL expertise? Database knowledge is fundamental for any developer working with data-driven applications.

PostgreSQL is widely used for data storage, retrieval, and management. Understanding its architecture, query optimization, and best practices is essential.

This guide covers PostgreSQL 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.