Firestore Interview Questions

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

FirebaseNoSQLReal-timeServerlessGoogle Cloud
30+
Questions
12
Basic
13
Intermediate
5
Advanced
Q1

What is Firestore and when should you use it?

BasicFundamentals
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Q2

How do you connect to Firestore?

BasicConnections
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Q3

What are the basic data types in Firestore?

BasicData Types
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Q4

How do you create and manage databases in Firestore?

BasicDatabase Management
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Q5

What are tables/collections in Firestore?

BasicTables & Schema
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Q6

How do you perform CRUD operations in Firestore?

BasicCRUD Operations
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Q7

What are primary keys and foreign keys in Firestore?

BasicKeys & Relationships
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Q8

How do you write basic queries in Firestore?

BasicQueries
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Q9

What are joins/lookups in Firestore?

BasicJoins & Relationships
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Q10

How do you handle NULL values in Firestore?

BasicNULL Handling
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Q11

What are constraints in Firestore?

BasicConstraints
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Q12

How do you import/export data in Firestore?

BasicData Migration
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Q13

How do you optimize queries in Firestore?

IntermediateQuery Optimization
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Q14

What is indexing in Firestore?

IntermediateIndexing
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Q15

How do you handle transactions in Firestore?

IntermediateTransactions
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Q16

What are stored procedures/functions in Firestore?

IntermediateStored Procedures
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Q17

How do you implement data validation in Firestore?

IntermediateValidation
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Q18

What is normalization/denormalization in Firestore?

IntermediateNormalization
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Q19

How do you handle concurrent access in Firestore?

IntermediateConcurrency
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Q20

What are triggers in Firestore?

IntermediateTriggers
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Q21

How do you implement full-text search in Firestore?

IntermediateSearch
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Q22

What is query execution plan in Firestore?

IntermediateExecution Plans
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Q23

How do you handle large datasets in Firestore?

IntermediateBig Data
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Q24

What are views in Firestore?

IntermediateViews & Templates
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Q25

How do you monitor performance in Firestore?

IntermediateMonitoring
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Q26

How do you implement sharding in Firestore?

AdvancedSharding
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Q27

What is replication strategy in Firestore?

AdvancedReplication
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Q28

How do you handle distributed Firestore?

AdvancedDistributed Systems
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Q29

What are advanced optimization techniques in Firestore?

AdvancedAdvanced Topics
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Q30

How do you implement high availability in Firestore?

AdvancedHigh Availability
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Companies Hiring Firestore

Google
Amazon
Microsoft
Meta
Netflix
Uber
PayPal
LinkedIn
Spotify
Airbnb

Salary Insights

Average in India
₹6-22 LPA

Frequently Asked Questions

What is Firestore used for?

Firestore 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 Firestore?

Learning Firestore 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 Firestore developers?

Firestore developers are in high demand across industries. With strong Firestore skills, you can pursue roles in database administration, data engineering, with competitive salaries ranging from ₹6-22 LPA.

What prerequisites are needed for learning Firestore?

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

Which companies use Firestore?

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

Introduction

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

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

This guide covers Firestore 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.